CN111313399A - Method, device and system for confirming topological relation of regional power utilization network - Google Patents

Method, device and system for confirming topological relation of regional power utilization network Download PDF

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CN111313399A
CN111313399A CN201811514636.2A CN201811514636A CN111313399A CN 111313399 A CN111313399 A CN 111313399A CN 201811514636 A CN201811514636 A CN 201811514636A CN 111313399 A CN111313399 A CN 111313399A
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electric energy
topological relation
energy metering
power utilization
utilization network
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CN111313399B (en
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侯铁信
汪毅
熊力
朱海昱
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Shenzhen dianant Data Technology Co.,Ltd.
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Wuhan National Survey Data Technology Co ltd
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks

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Abstract

The invention relates to the technical field of topological relations of power utilization networks in a distribution room, and provides a method, a device and a system for confirming the topological relations of regional power utilization networks. The method comprises the steps of determining one or more areas where power utilization network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions; and confirming one or more regions and one or more electric energy metering devices in the state of the topological relation attribution error of the electric network according to the electric energy data. The invention provides a method for determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors, and determining the probability of one or more electric energy metering devices in the power utilization network topological relation attribution error state in the one or more regions through electric energy data, so that the labor cost of workers for field investigation is greatly saved, and the investigation efficiency is improved.

Description

Method, device and system for confirming topological relation of regional power utilization network
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of topological relations of power utilization networks in transformer areas, in particular to a method, a device and a system for confirming the topological relations of the power utilization networks in the areas.
[ background of the invention ]
The wrong regional power utilization network topological relation and the energy conservation relation between power supply and power utilization are destroyed. The topological relation of the regional power utilization network is disordered, so that a lot of adverse effects are brought to the production and technical management work of the power industry, and the power industry needs technology urgently to comb the topological relation of the regional power utilization network and find out the real topological relation of the regional power utilization network.
In reality, a traditional manual troubleshooting method is generally adopted for solving the topology problem of the power supply range (platform area for short) of the power supply transformer. Specifically, a power supply company uses a large amount of manpower to check the connection relationship of the individual subscriber lines until all the electric energy subscribers on the power transformer are found out to obtain a real topological relationship of the regional power utilization network. Due to the fact that the line is disordered in reality, manual work is not easy to find out clearly.
In recent years, a large amount of research is carried out on a new technology for combing the topological relation of the regional power utilization network by various technical development and research enterprises and teams of Chinese national power grid companies, southern power grid companies and subordinated enterprises thereof, but a practical method excluding manual operation is not obtained yet.
Among them, a research result of a new technology with a great influence is "a user terminal voltage correlation method". The basic principle of this method is that the voltage change curves measured by all the electric energy meters in one station area in the same time period should be the same. In view of the principle, the strength of the correlation between the voltage time-series data of each user electric energy meter to be judged and the voltage time-series data of the transformer total meter is calculated, and the user to be judged belongs to or does not belong to the local area. The defect of the new method is that most electric energy meters do not have the function of transmitting voltage data, and the usability of the new method is greatly limited. This is why this technique cannot be generalized.
In view of the above, overcoming the drawbacks of the prior art is an urgent problem in the art.
[ summary of the invention ]
The technical problem to be solved by the invention is that no method for effectively confirming whether the topological relation of the regional power utilization network is correct exists in the prior art, and the existing confirmation method is that a power supply company uses a large amount of manpower to check the connection relation of user lines one by one until all electric energy users on the power transformer are found out to obtain a real topological relation of the regional power utilization network. Due to the fact that the line is disordered in reality, manual work is not easy to find clearly, and efficiency is low.
The technical problem to be further solved by the present invention is that in the prior art, a manual individual user line inspection mode is adopted, and for the malicious line change situation occurring after the inspection is completed, it is difficult to quickly find the problem point, and at least, the electricity utilization network topology relationship in the problem area needs to be inspected again, which causes great resource waste.
In a first aspect, the present invention provides a method for confirming a topological relation of an area power utilization network, including:
determining one or more areas where power utilization network topological relation attribution errors can potentially occur;
acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions;
and confirming one or more electric energy metering devices in the one or more areas, wherein the electric energy metering devices are in the electric network topology attribution error state according to the electric energy data.
Preferably, the confirming one or more electric energy metering devices in the one or more areas, which are in the power utilization network topology relationship attribution error state, specifically includes:
and calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the power utilization network exceeds a preset threshold.
Preferably, the method further comprises:
and verifying the actual attribution condition of the topological relation of the power utilization network by a field investigation worker according to the equipment identification information of the one or more electric energy metering devices.
Preferably, after the field-investigation worker verifies the attribution condition of the actual topological relation of the power utilization network according to the device identification information of the one or more electric energy metering devices, the method further includes:
obtaining a verification result which is returned by the field investigation staff and aims at whether the power utilization network topological relation attribution of the one or more electric energy metering devices is correct or not;
and iterating the verification result to the electricity utilization network topological relation attribution calculation process to obtain one or more electric energy metering devices of which the updated electricity utilization network topological relation attribution error probability exceeds a preset threshold value.
Preferably, the calculating one or more electric energy metering devices in the one or more regions, where the probability of the home error of the topological relation of the electricity utilization network exceeds a preset threshold, specifically includes:
calculating the correlation between the electric energy data of the electric energy metering device general meter in each area and the electric energy data of one or more electric energy metering devices which establish the attribution of the useful power network topological relation with each area in the current record;
and determining one or more electric energy metering devices with the probability of the home error of the topological relation of the electricity utilization network exceeding a preset threshold according to the correlation.
Preferably, the calculating the correlation between the electric energy data of the electric energy metering device general table in each area and the electric energy data of one or more electric energy metering devices which establish an attribution of the useful power network topological relation with each area in the current record specifically includes:
exhausting the electric energy metering devices in the one or more regions, wherein the electric energy metering devices can form a combination between the electric energy metering device total meter in each region and the electric energy metering device sub-meters contained in the corresponding region;
according to the electric energy Z of the electric energy metering deviceiAnd the sum F of sub-meter electric energy of electric energy metering devices contained in corresponding areas in corresponding combinationsiCalculating ZiAnd FiThe difference of the two and/or the variance of the difference of the two; wherein i indicates the ith combination;
comparing calculated Z of each combinationiAnd FiAnd obtaining the probability that each combination belongs to the correct topological relation of the power utilization network according to the difference of the two and/or the variance of the difference of the two.
Preferably, the calculating a variance variation relationship between the electric energy data of the electric energy metering device summary table in each area and the electric energy data of one or more electric energy metering devices, which establish an attribution of a useful electric network topological relationship with each area in the current record, specifically includes:
calculating said Z when removing or adding the user's electric energy meter to be determinediAnd FiA difference between the two and/or a variance of the two;
exhaustive calculation of all the user electric energy meters to be judged or the combination thereof, and adding or quitting FiWhen is brought to ZiAnd FiAnd the difference value of the two and/or the variance of the two changes towards minimization, so that the probability that the user electric energy meter to be judged or the combination of the user electric energy meter to be judged belongs to the right topological relation of the power utilization network is judged.
Preferably, the calculating the correlation between the electric energy data of the electric energy metering device general table in each area and the electric energy data of one or more electric energy metering devices which establish an attribution of the useful power network topological relation with each area in the current record specifically includes:
exhausting the electric energy metering devices in the one or more regions, wherein the electric energy metering devices can form a combination between the electric energy metering device total meter in each region and the electric energy metering device sub-meters contained in the corresponding region;
array formed according to electric energy Z of electric energy metering device total meterk1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of electric energy metering devices contained in corresponding areas of the respective combinationsk1,Fk2,…,Fkj) Calculating the similarity of the two; wherein k is the corresponding data group serial number for calculating the similarity, j is the data number contained in each group of dataCounting;
and according to the actually obtained electricity utilization network topological relation attribution relation and the obtained probability that each combination is correct for the electricity utilization network topological relation attribution.
Preferably, before exhausting the one or more regions, each electric energy metering device can form a combination between the total electric energy metering device table in each region and the sub-electric energy metering device tables contained in the corresponding region, the method further includes:
according to the power consumption circuit maintenance record at the data management platform side and/or the feedback measurement data abnormal value of the power consumption metering device exceeding the preset threshold value and the original attributive area information of each power consumption metering device, the verification of each power consumption metering device and the attributive area is completed;
and taking the verification result as a known fixed attribute in the exhaustive combination, and performing the operation related to the exhaustive combination on the electric energy metering devices which are not verified.
Preferably, the electric energy data of each electric energy metering device is stored according to a corresponding relationship between the electric energy data and the load current, and when the corresponding electric energy data is used for the calculation, the method further includes:
and for the respective electric energy data of different electric energy metering devices related to the same round of calculation process, extracting the electric energy data of which the respective load currents are at the same or adjacent energy levels as parameter values for calculation.
Preferably, before determining one or more regions where a topological relation attribution error of the power utilization network can potentially occur, the method further comprises:
respectively calculating the relationship between the electric energy data of the electric energy metering device general meter of each district and the electric energy data sum of the electric energy metering device sub-meters in the district, and confirming one or more target areas with power utilization network topology relationship attribution errors;
determining one or more sub-regions where a topology relationship attribution error of the power utilization network potentially occurs, specifically: and determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors with the one or more target regions according to the one or more target regions.
In a second aspect, the present invention further provides a system for confirming a topological relation of an area power utilization network, including a database server, a power utilization network topological relation calculation server, and one or more intelligent terminals, specifically:
the database server is used for storing initial affiliation relations of the electric energy metering devices contained in each region and each region, storing electric energy data reported by each electric energy metering device and providing a data access interface for the power utilization network topological relation calculation server;
the electricity utilization network topological relation calculation server is used for executing the following process contents:
determining one or more areas where power utilization network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions; calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the electricity utilization network exceeds a preset threshold value;
and the one or more intelligent terminals are accessed to the electricity utilization network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more electric energy metering devices and feeding back the actual topological attribution to the electricity utilization network topological relation calculation server.
In a third aspect, the present invention further provides an apparatus for confirming a topological relation of an area power utilization network, which is used to implement the method for confirming a topological relation of an area power utilization network in the first aspect, where the apparatus includes:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions programmed to perform the method for regional utility network topology relationship validation of the first aspect.
In a fourth aspect, the present invention further provides a non-transitory computer storage medium, where the computer storage medium stores computer-executable instructions, where the computer-executable instructions are executed by one or more processors, and are configured to perform the method for confirming a topological relation of an area power utilization network according to the first aspect.
The invention provides a method for determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors, and determining the probability of one or more electric energy metering devices in a power utilization network topological relation attribution error state in the one or more regions through electric energy data, thereby providing more effective investigation basis for workers who need to investigate on the spot. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below. It is obvious that the drawings described below are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic flow chart of a method for confirming a topological relation of an area power utilization network according to an embodiment of the present invention;
FIG. 2 is a schematic diagram illustrating the distribution effect of the total meters and the sub-meters of the electric energy metering devices in an area according to the embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the distribution effect of the total meters and the sub-meters of the electric energy metering devices in an area according to the embodiment of the present invention;
fig. 4 is a schematic flow chart of a similarity calculation method according to an embodiment of the present invention;
FIG. 5 is a flow chart of another similarity calculation method according to an embodiment of the present invention;
fig. 6 is a schematic flow chart of a similarity calculation method according to an embodiment of the present invention;
fig. 7 is a schematic flowchart of a method for confirming a topological relation of an area power utilization network with field verification feedback according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a system for confirming a topological relation of a local power utilization network according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of an electrical energy data storage format according to an embodiment of the present invention;
FIG. 10 is a schematic diagram of another electrical energy data storage format provided by an embodiment of the present invention;
fig. 11 is a schematic structural diagram of a device for confirming a topological relation of an area power utilization network according to an embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In the embodiments of the present invention, the symbol "/" indicates the meaning of having both functions, and the symbol "a and/or B" indicates that the combination between the preceding and following objects connected by the symbol includes three cases of "a", "B", "a and B".
In the invention, the topological relation of the regional power utilization network refers to the connection and attribution relation between the similar district electric energy meter general meter (which is the lower concept of the electric energy metering device general meter) and the user electric energy meter sub-meter (which is the lower concept of the electric energy metering device sub-meter) respectively; the connection and affiliation relationship between the electric energy meter master meter of the transformer area and the electric energy meter sub-meters of each company in the industrial park can be realized; the connection and affiliation relationship between the main electric energy meter of the transformer area and each sub-electric energy meter of each user and each sub-electric energy meter of the company in the business and residential dual-purpose park can be realized; and the connection and affiliation relationship between the electric energy meter general meters and the electric energy meter sub-meters of each household in each building in the community and the like can be realized. In each subsequent embodiment of the present invention, more scenarios of the total meter of the electric energy meters in the subzone and the sub-meters of the electric energy meters of the users are developed and explained, however, on the basis of the technical description of this scenario, a person skilled in the art can use the corresponding technical means in the similar scenarios of the above examples without creative work, and further description is omitted hereinafter.
Theoretically, in a specific application scenario of a distribution room, the electric energy data satisfy an energy conservation relation that the input electric energy of the distribution room (electric energy meter general meter) is equal to the sum of all user electric energy data (electric energy meter branch meters). The above "conservation of electric energy" can be established only under the correct and real topological relation of the power utilization network of the transformer area. In an actual scene, line loss and errors of the electric energy metering device exist certainly, so that the electric energy conservation relation is a relative relation and is not an absolute strict equivalent relation in a data meaning. A necessary and sufficient condition for the power grid topological relation (the subordinate concept of the regional power grid topological relation described in the present invention) to be correct is: a unique set of electric energy data can be found, and at each time point, the above-mentioned relative station area electric energy conservation relation (which will be referred to as the station area energy conservation relation in the following description of the present invention) can be satisfied.
In reality, there may be data in the electric energy data of the distribution room that does not belong to the distribution room, and the electric energy data that originally belongs to the distribution room may not be seen in the distribution room. In this case, a group of data cannot be found so that the energy conservation relation of the distribution area is established, and the topological relation of the power utilization network of the distribution area cannot be calculated by using the electric energy data of the distribution area. This is also the reason why the power data in the cell is not used in the prior art to calculate the power network topology of the cell.
The method expands the range of the electric energy data to select the electric energy data for calculation, and particularly takes the electric energy data of one or more adjacent areas where the topological relation error of the electric network can potentially occur as the data for calculating the topological relation of the electric network. For example: the electric energy data of other distribution areas which belong to the same power distribution room as the local distribution area, the electric energy data of other distribution areas which belong to the same residential area or village as the local distribution area, the electric energy data of other distribution areas which belong to the same power supply station as the local distribution area, and the like.
The method for selecting the electric energy data can return the electric energy data (which will be abbreviated as "foreign subscriber") not belonging to the local station area to the station area where the electric energy data should be located by cooperating with the calculation of the topological relation of the power utilization network of other station areas, and can restore the electric energy data (which will be abbreviated as "escape subscriber") wrongly counted to other station areas back to the local station area. Therefore, the real power utilization network topological relation of the local area (and the adjacent area) can be obtained.
In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other. The implementation of the present invention will now be described by way of embodiments in a stepwise fashion.
Example 1:
embodiment 1 of the present invention provides a method for confirming a topological relation of a regional power utilization network, where a region described in the embodiment of the present invention belongs to a concept that is broader than a distribution area, and the region can be divided into a regional concept as long as the region relates to a mapping relation between a total meter (short for a total meter of an electric energy metering device) and a sub-meter (short for a sub-meter of an electric energy metering device), so that it is proposed that the regional concept is more biased to solve the technical problem that the embodiment of the present invention extends to a layout scene of the total meter and the sub-meter in the prior art, and for a problem that recorded information after the layout (the recorded information here refers to a mapping relation between the logical total meter and the sub-meter recorded on a server side) does not correspond to an actual layout line, for example: the logical relationship between the summary tables and the branch tables recorded by the server side can occur in the adjacent distribution areas, the adjacent distribution rooms, the adjacent cells, a distribution network line provided with a plurality of summary tables and the like, and the logical relationship is inconsistent with the connection mode between the electric meters in the actual scene. The station area belongs to the most typical aspect of the corresponding problems in the prior art, and the complex problems of electricity utilization, charging, errors of an electric energy metering device, electricity stealing, electric leakage and the like in the station area belong to the application scene which needs to be solved most urgently at present, and the most basic requirement is to clearly find out the attribution of the topological relation of the electricity utilization network in the station area, which is also the technical problem which is relatively pertinently solved by the method provided by the embodiment of the invention. As shown in fig. 1, the method of the embodiment of the present invention includes:
in step 201, one or more areas where a topological relation attribution error of the power utilization network can potentially occur are determined.
The determination method here may be simply divided by the information recorded in the database server, for example: the database server records the mapping relationship (described as the topological relationship of the power utilization network in the embodiment of the invention) between the total meters of each district and the sub meters of the electric energy meters of each building of each district. Namely, one or more regions where the topological relation attribution error of the power utilization network potentially occurs can be calibrated according to the zone characteristics of the divided geographic positions.
In addition to the above simple potential area calibration according to the partitioned geographical areas, in the implementation process of the embodiment of the present invention, preferably, a mapping relationship between the electricity meters (including the general tables and/or the sub tables) and each installation device (e.g., the substation box) may be established in combination with a specific installation environment to assist in determining, specifically, a relevant operator may report corresponding setting information of a plurality of general tables set in the same substation box to the database server, and accordingly, the same substation box or a plurality of general tables in the same substation may become one of objects of one or more areas where an attribution error of a topology relationship of the electricity utilization network may potentially occur. Taking fig. 2 as an example, if the two electric energy metering device general tables in the area 1 and the area 2 are arranged in the same transformer box, it may be considered that the area 1 and the area 2 are one or more areas where an attribution error of the topological relation of the electric power utilization network potentially occurs. Specifically, since the electric energy metering device summary table M0 and the electric energy metering device summary table N0 are provided in the same substation, the partial tables in the area may have inconsistency between the actual line connection and the network topology relationship for the database server record shown in fig. 2, for example: the lines of the electric energy metering device sub-meter M1 and the electric energy metering device sub-meter N1 are cross-connected, that is, the line of the electric energy metering device sub-meter M1 is connected to the electric energy metering device main meter N0, and the line of the electric energy metering device sub-meter N1 is connected to the electric energy metering device main meter M0, at this time, the topological relation of the electricity utilization network recorded by the database server is as shown in fig. 2, and the actual line connection relation is as shown in fig. 3.
In the preferred implementation manner, by further combining the relevant information of the installation environment (the mapping relationship between the established electric meter and each installation device), it is more effective and accurate to perform one or more region division which can potentially cause the electricity utilization network topology attribution error, than the above-mentioned one or more region division which is purely based on the data of the total table and the sub-table mapping relationship which are recorded in the database server and divided according to the geographic location. On the other hand, the optimization mode can amplify the analyzed environment in a certain sense, and the effectiveness of finally identifying the topological relation attribution error of the power utilization network through calculation is improved. For example: for the reason of subsequent construction, a summary table is newly added in an existing substation, and if corresponding operations are recorded in a database only by the corresponding relation between the summary table and the sub-tables, possible judgment that the topological relation attribution error of the power utilization network possibly occurs actually is lost. Because the classification is based only on the electricity usage type or the geographical location of the divided segments, actual environmental considerations between the two within the same substation may be missed.
On the other hand, in practical situations, for the mapping relationship between the total table of the power grid and the electric energy meter sub-tables of each building of each cell recorded in the database server, in addition to the possible mapping relationship error between the electric energy meter sub-tables and the total table in each individual building, a position error between the directly registered total tables may also occur, and in this case, the analysis range of one or more regions where the electric network topology attribution error potentially occurs may be widened more effectively through the preferred implementation manner. Still taking fig. 2 as an example, in which the electric energy metering device total meter M0 and the electric energy metering device total meter N0 are provided in the same substation, an error may occur in the position between the electric energy metering device total meter MO and the electric energy metering device N0 recorded in the database. This situation is also considered in the validation process of step 203 subsequent to the embodiment of the present invention.
In step 202, electric energy data corresponding to each electric energy metering device included in the one or more regions is acquired.
In the embodiment of the present invention, the source end obtaining the electric energy data is described as a database server, and the database server is generally expressed as a data management platform of an electric power company in an actual environment, that is, a main body having an electric energy data collecting and storing capability for a total meter of each electric energy metering device and a sub-meter of each electric energy metering device in an area. The implementation manner of the corresponding main body is not limited to a server in a stand-alone form, and may also be a cloud platform, or the management is completed by a third-party database management platform, which is not particularly limited herein.
In the specific calculation method for subsequent development in the embodiment of the present invention, the use of the electric energy data relates to electric energy data in a continuous time sense, electric energy data in different time periods, electric energy data in a special scene, and the like. Even if the usage of some electric energy data is not directly provided by the existing data management platform similar to the electric power company, the corresponding method proposed by the embodiment of the present invention may be required to process the corresponding electric energy data, and how to process the corresponding electric energy data will be specifically described in the following expanded description of the embodiment of the present invention.
In step 203, according to the electric energy data, one or more electric energy metering devices in the one or more areas, which are in an electric network topology attribution error state, are confirmed.
The embodiment of the invention provides a method for determining one or more regions which are potentially subjected to power utilization network topology relationship attribution errors, and determining the probability (including the foreign households and/or escape households) of one or more electric energy metering devices in the one or more regions in the power utilization network topology relationship attribution error state through electric energy data, so that more effective investigation basis is provided for workers who need to investigate on the spot. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
In one or more calculation modes provided by the embodiment of the present invention, the home error state of the power consumption network topology relationship of the electric energy metering device is described with probability, which mainly considers that in practice, an application scenario related to the method provided by the present invention usually includes hundreds or even thousands of electric energy metering devices (a cell is taken as an example, a household of about thousands of households can be reached, and each household is usually equipped with an electric energy metering device sub-meter), while for a region and a province and a city, the number of the related electric energy metering devices is larger, and a specific calculation environment is more complex, especially some involve long-distance transmission, and the possibility of shunting exists in the transmission process and is shunted under the condition of being registered by a database server in an unauthorized manner; in addition, errors in the electric energy metering device itself and line loss on the transmission line complicate the computing environment. Therefore, an environment given to calculation in a real scene is a non-ideal environment, and a corresponding result naturally cannot reach a calculation result with 100% accuracy, so that the embodiment of the invention provides a method for describing the possibility of attribution errors of topological relations of power utilization networks of sub-meters and total meters of electric energy metering devices of each electric energy metering device by using probabilities. The probability may be calculated by the power utilization network topology relation calculation server and seen by a high-level manager, and for a worker who examines in the field, the probability may be only an assignment task which is required to verify the attribution of the power utilization network topology relation of the one or more electric energy metering devices. That is to say, by the method in the embodiment of the present invention, the manner of displaying the one or more electric energy metering devices in the power utilization network topology attribution error state may be various, and is not particularly limited in the embodiment of the present invention.
Through the above analysis, in the one or more regions, the one or more electric energy metering devices that are in the power utilization network topology attribution error state are confirmed in step 203 according to the embodiment of the present invention, there is a specific expression that: and calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the power utilization network exceeds a preset threshold. The preset threshold may be set by an operator, for example: a first dimension: according to the method, one or more electric energy metering devices in the state of the power utilization network topological relation attribution error calculated by the field investigation staff according to the embodiment of the invention are checked, and after the checking result is fed back to obtain the corresponding calculation accuracy, the dynamic setting is carried out (generally, the lower the accuracy is, the higher the corresponding preset threshold value can be set). In addition to this, a second dimension can be considered: after each round of on-site investigation by a worker, dynamically setting the number of the one or more electric energy metering devices in the electric energy network topology relationship attribution error state according to the updated electric energy network topology relationship (usually, if the number obtained by recalculation is large, the corresponding preset threshold value can be correspondingly set to be lower). Preferably, the two dimensions are considered together, and a third dimension is further added: the quantity of the electric energy metering devices which are allowed to be checked each time the field investigation staff attendance; the preset threshold determined by the three dimensions can be used for completing the investigation of the electric energy metering device with the error probability in the shortest time to the maximum extent.
In the embodiment of the invention, at least the following three specific modes are provided for calculating the correlation between the electric energy data of the electric energy metering device general table in each area and the electric energy data of one or more electric energy metering devices which establish the attribution of the useful electric network topological relation with each area in the current record.
Mode one, as shown in fig. 4:
in step 301, exhausting the one or more regions, each electric energy metering device can constitute a combination between the total electric energy metering device in each region and the sub-electric energy metering devices included in the corresponding region.
Although described as exhaustive, the actual operation may be more varied and complicated than that described in step 301, for example: for the total regional electric energy metering device list and the sub-regional electric energy metering devices in the corresponding region, which have historically verified the topological relation of the power utilization network, the total regional electric energy metering device list and the sub-regional electric energy metering device list can exist in each combination in a fixed form as known quantities, namely, the verified topological relation of the power utilization network (considered to be correct) is not added into the exhaustive process in the step 301, so that the calculation process in the first mode is simplified.
However, in a strict consideration during a specific operation process, it is preferable that, in the initial several rounds of calculation, the historically verified power utilization network topological relation may be used as a correct known quantity, and if there is still a large similarity deviation after several rounds of demonstration, the historically verified power utilization network topological relation also needs to be added as an object to be verified to the exhaustive object in step 301 in the embodiment of the present invention on the basis of the power metering device of the power utilization network topological relation verified by the method provided in the embodiment of the present invention.
In step 302, the electric energy Z is measured according to the electric energy metering deviceiAnd the sum F of sub-meter electric energy of electric energy metering devices contained in corresponding areas in corresponding combinationsiCalculating ZiAnd FiThe difference between the two and/or the variance of the difference between the two.
Where i indicates the ith combination. And for the electric energy Z of the general meteriFor example, it may use power data for a specified duration as the corresponding ZiThe parameter value can also be selected as the corresponding Z according to the electric energy data in a certain time periodiThe parameter value can also adopt the combination of electric energy data in time intervals as the corresponding ZiThe parameter values. The method is not particularly limited, and the preferred method for selecting the parameter values will be described in detail in the data analysis section of the embodiment of the present invention.
In step 303, the calculated Z for each combination is comparediAnd FiAnd obtaining the probability that each combination belongs to the correct topological relation of the power utilization network according to the difference of the two and/or the variance of the difference of the two.
Wherein, step 302 and step 303 describe a round of ZiAnd FiComparison of the two in detailIn operation, the number of comparisons may be multiple sets, and for multiple sets of comparison processes, multiple sets of corresponding power data may also be configured. The simple conclusion is that, generally, the more times of comparison, the more occupied computing resources of the power utilization topology data computing server, the longer the corresponding computing time, but the accuracy of the corresponding computing result is also improved to some extent, and finally, how to choose or consider the actual computing environment and the actual number of workers in field investigation is to adjust, which is not described herein again.
In step 304, according to the actually obtained electricity utilization network topological relation attribution relationship and the obtained probability that each combination is the electricity utilization network topological relation attribution correctness, one or more electric energy metering devices with the probability of the electricity utilization network topological relation attribution error exceeding a preset threshold value are calibrated.
In the embodiment of the invention, the probability that the topological relation of the electricity utilization network is correctly attributed is only description on data representation and is also a name on visual representation; in the academic world, more can be described as simple pearson correlation coefficient, and the expression of the simple pearson correlation coefficient is as follows:
Figure BDA0001901624580000141
wherein, cov (Z)i,Fi) Is the above-mentioned ZiAnd FiThe covariance between the two is such that,
Figure BDA0001901624580000142
is ZiStandard deviation of (1), ρFIs FiStandard deviation of (2), expression
Figure BDA0001901624580000143
Is the product of the standard deviations of the two. Pearson's simple correlation coefficient
Figure BDA0001901624580000144
Is always between-1.0 and 1.0, variables close to 0 are made uncorrelated, and variables close to 1 or-1 are calledHave strong correlation and are also described as probabilities in the embodiments of the present invention. For convenience of comparison, generally in a preferred implementation of an embodiment of the invention, the pearson simple correlation coefficient may be given
Figure BDA0001901624580000145
The absolute values are taken or squared before comparison.
In a specific operation process, one or more electric energy metering devices with the attribution error probability of the topology relation of the electricity utilization network which is calibrated to exceed the preset threshold value can directly send the related information of the electric energy metering device to be verified to the intelligent terminal of the worker who examines in the field through the intelligent terminal which is provided for the worker who examines in the field in the subsequent system embodiment of the invention, and the worker who examines in the field finishes the investigation work.
Mode two, as shown in fig. 5:
in step 401, exhausting the one or more regions, each electric energy metering device can form a combination between the total electric energy metering device in each region and the sub-electric energy metering devices contained in the corresponding region.
Although described as exhaustive, the actual operation may be more varied and complicated than that described in step 401, for example: for the total regional electric energy metering device list and the sub-regional electric energy metering devices in the corresponding region, which have historically verified the topological relation of the power utilization network, the total regional electric energy metering device list and the sub-regional electric energy metering device list can be used as known quantities and exist in each combination in a fixed form, namely, the verified topological relation of the power utilization network (considered to be correct) is not added into the exhaustive process in the step 401, so that the calculation process in the whole mode two is simplified.
However, in a strict consideration during a specific operation process, it is preferable that, in the initial several rounds of calculation, the historically verified power utilization network topological relation may be used as a correct known quantity, and if there is still a large similarity deviation after several rounds of demonstration, the historically verified power utilization network topological relation also needs to be added as an object to be verified to the exhaustive object in step 401 in the embodiment of the present invention on the basis of the power metering device of the power utilization network topological relation verified by the method provided in the embodiment of the present invention.
In step 402, an array (Z) is formed based on the total power Z of the power metering devicesk1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of electric energy metering devices contained in corresponding areas of the respective combinationsk1,Fk2,…,Fkj) And calculating the similarity of the two.
Wherein k is the serial number of the corresponding data group for calculating the similarity, j is the number of data contained in each group of data, and the data is specifically the electric energy data reported by the electric energy metering device. In the embodiment of the present invention, in addition to the foregoing manner, for calculating the similarity, a complex correlation coefficient, a partial correlation coefficient and/or a pearson simple correlation coefficient (similar to the pearson simple correlation coefficient described in step 304, and also similar to the spearman-level sperman correlation coefficient and the kendall correlation coefficient, which are not described herein) known in the art may be used to implement the similarity, and thus, no further description is provided herein.
To determine the variable F (F)k1,Fk2,…,Fkj) With other plural variables (Z)k1,Zk2,…,Zkj) The correlation coefficient between the two can be considered to construct a correlation (Z)k1,Zk2,…,Zkj) By calculating the linear combination of F (F) andk1,Fk2,…,Fkj) Simple correlation coefficient between the variables F and (Z)k1,Zk2,…,Zkj) A complex correlation coefficient R between.
Figure BDA0001901624580000151
Figure BDA0001901624580000152
In step 403, calibrating one or more electric energy metering devices with the probability of the electricity utilization network topological relation attribution error exceeding a preset threshold according to the actually obtained electricity utilization network topological relation attribution relation and the obtained probability that each combination is the electricity utilization network topological relation attribution correct.
In a specific operation process, one or more electric energy metering devices with the attribution error probability of the topology relation of the electricity utilization network which is calibrated to exceed the preset threshold value can directly send the related information of the electric energy metering device to be verified to the intelligent terminal of the worker who examines in the field through the intelligent terminal which is provided for the worker who examines in the field in the subsequent system embodiment of the invention, and the worker who examines in the field finishes the investigation work. Compared with the first mode, the second mode has higher precision and belongs to a specific development form of a preferred implementation mode in the first mode.
Mode three, as shown in fig. 6:
in step 501, when the user electric energy meter to be determined is removed or added, the Z is calculatediAnd FiThe difference of the two and/or the variance of the two.
The removing of the user electric energy meter to be determined and the adding of the user electric energy meter to be determined actually correspond to the concepts of 'foreign households' and 'escape households' introduced by the invention. Therefore, in the first and second three-phase comparison manners, the original means for solving the correct probability of the power consumption network topological relation of the specific power consumption metering devices through the similarity of various combinations is converted into the means for introducing the concepts of 'foreign households' and 'escape households' into the calculation process, the correct probability of the power consumption network topological relation of each power consumption metering device is calculated on the basis of one initial combination, and the error types of the power consumption network topological relation are also judged.
In step 502, all the user electric energy meters to be determined or the combination thereof are exhaustively calculated, and F is added or withdrawniWhen is brought to ZiAnd FiThe difference between the two and/or the variance between the two changes toward minimum, thereby determining the said to-be-determinedAnd the user electric energy meter or the combination thereof attributing correct probability to the topological relation of the power utilization network.
In comparison, the third method can obtain the calculation result more effectively than the first method and the second method, but the third method is more suitable for a scenario that the topological relation of the electricity utilization network of the rest of the energy metering devices needs to be confirmed after the topological relation of the electricity utilization network of a part of the energy metering devices has been historically confirmed. Because the number of the effective electric energy metering devices (i.e. electric energy metering devices with correct electric network topological relation) contained in the initial combination is larger at this time, the accuracy of the final calculation result is better guaranteed.
It should be emphasized that, in the method for calculating various correlation coefficients (including the calculation method in step 304) provided in the embodiment of the present invention, the provided specific calculation formulas (for example, the above formula for calculating the complex correlation coefficient R) are all one or more of the correlation coefficient calculation methods applicable to the embodiment of the present invention, and those skilled in the art can apply other similarity calculation methods to the embodiment of the present invention without creative efforts based on the technical ideas disclosed in the embodiment of the present invention, and all of them fall within the protection scope of the embodiment of the present invention.
In the first, second and third modes, the topology relationship of the power utilization network of the historically verified electric energy metering device is introduced, and the topology relationship can be used as known correct information in the initial calculation processes. Corresponding operations can greatly improve or improve the calculation efficiency, however, based on the area power utilization network topological relation confirmation mode provided by the embodiment of the invention, some preferable technical means exist, and the exhaustive combination number in the mode one, the mode two and the mode three can be further simplified. The specific description is as follows:
the electricity utilization network topological relation calculation server can complete the verification of each electric energy metering device and the attributive region according to the electricity utilization circuit repair record at the data management platform side and the original attributive region information of each electric energy metering device; and/or the presence of a gas in the gas,
the electricity utilization network topological relation calculation server can complete verification of each electric energy metering device and an attributive region according to the abnormal value of the feedback metering data of the electric energy metering device exceeding a preset threshold value and the original attributive region information of each electric energy metering device;
and taking the verification result as a known fixed attribute in the exhaustive combination, and performing the operation related to the exhaustive combination on the electric energy metering devices which are not verified. Wherein the known fixed attribute is taken as an invariant, is excluded from an exhaustive range as an inherent attribute, and is directly added to the combination as the content included in the combination.
The scheme provides a preferable technical means, which can combine the historical electric circuit maintenance and measurement data abnormity, and each electric energy measurement device which can finish the electric network topology relationship attribution verification in advance is taken as a fixed attribute by using an exclusion method and the like, and is excluded from the exhaustive range of the step 301 or the step 401, so that the calculated amount is further reduced, and the calculation efficiency of the regional electric network topology relationship confirmation method provided by the embodiment of the invention is improved.
The power utilization line maintenance can be power utilization maintenance for buildings, power utilization maintenance for cells and power utilization maintenance for regions, and the corresponding power utilization maintenance can bring short power utilization vacuum periods, so that the verification of the power utilization network topological relation of individual regions is possible. For example, because of electricity utilization overhaul, a power failure measure is taken for electricity utilization in a cell, however, actually 1 energy metering device of the cell is still working, it can be determined through the above analysis that attribution of the electricity utilization network topology relationship between 1 energy metering device of the cell and the energy metering device general table of the area corresponding to the cell is definitely wrong verification information, and when the verification information is used to be exhaustive in step 301 or step 401, the possibility of combining 1 energy metering device of the cell and the energy metering device general table of the area corresponding to the cell can be reduced. The abnormal data may be abnormal power consumption caused by an emergency, such as a block power outage caused by construction, a block power outage caused by a natural disaster, and the like, and the effect of the abnormal data for the embodiment of the present invention is similar to that of the above-mentioned electric line maintenance from the side, but the abnormal data is lower in reliability.
In the embodiment of the invention, for the operation mode of conducting field investigation by the staff committing the field investigation, the investigation result can be fed back to the power utilization network topological relation calculation server to realize a feedback type iterative calculation. Therefore, in connection with the embodiment of the present invention, there is also a preferred embodiment, as shown in fig. 7, the method further includes:
in step 601, a verification result returned by the field work staff is obtained, wherein the verification result is used for whether the power utilization network topological relation attribution of the one or more electric energy metering devices is correct.
The method and the device have the advantages that the probability result is calculated according to the embodiment of the invention, and the probability result is not an absolute result in a strict sense aiming at the power consumption network topological relation attribution error of each power consumption metering device in the power consumption network topological relation. Moreover, the relevant information of the electric energy metering devices carried in the task of verification by each field-investigation worker is actually triggered, and the electric energy metering devices are screened according to the preset threshold determined in step 304 or step 403, so that the corresponding electric network topological relation may be attributed to be correct or wrong after the verification by the field-investigation worker.
In step 602, iterating the verification result to the electricity consumption network topology relationship attribution calculation process, and obtaining one or more electric energy metering devices of which the updated electricity consumption network topology relationship attribution error probability exceeds a preset threshold.
As will be explained by combining the first, second, and third manners, the verification result involved in step 602 is iterated to the electricity utilization network topology relationship attribution calculation process, specifically, the verification result returned in step 601 is used as a newly added fixed attribute, and step 301 to step 304 and/or step 401 to step 403 are re-executed. As can be seen from the above description, the first mode, the second mode and the third mode may be alternatively used in the embodiment of the present invention, or the two modes may be used in parallel in the embodiment of the present invention, and are not described herein again.
With reference to the embodiment of the present invention, there is also a preferred implementation scheme, wherein before step 201 is executed, the method processes in step 201 to step 203 are usually executed until the difference between the sum of the electric energy of the total meter of the electric energy metering device in a certain area and the sum of the electric energy of the sub-meters of the electric energy metering device exceeds a second preset threshold, otherwise, it is determined that the topological relation of the electric network in the corresponding area is normal, and the method processes in step 201 to step 203 are not required. Therefore, in the preferred implementation, generally before determining one or more areas where a topology affiliation error of the electricity utilization network is potentially likely to occur, the method further comprises:
respectively calculating the relationship between the electric energy data of the electric energy metering device general meter of each district and the electric energy data sum of the electric energy metering device sub-meters in the district, and confirming one or more target areas with power utilization network topology relationship attribution errors;
determining one or more sub-regions where a topology relationship attribution error of the power utilization network potentially occurs, specifically: and determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors with the one or more target regions according to the one or more target regions.
Example 2:
on the basis that the embodiment 1 of the present invention provides a method for confirming a topological relation of an area power utilization network, the embodiment of the present invention also provides a system for confirming a topological relation of an area power utilization network, which can be used to complete the corresponding method described in the embodiment 1, and therefore, the corresponding technical contents described in the embodiments of the present invention can also be applied to the method in the embodiment 1.
As shown in fig. 8, the system includes a database server, a power consumption network topological relation computing server, and one or more intelligent terminals, and in the embodiment of the present invention, in consideration of the possibility of the scale of the data volume of a specific application scenario, the power consumption network topological relation computing server may be in a form of a single host, or may be in a form of a cloud platform, which is not particularly limited herein. The system specifically comprises:
the database server is used for storing initial affiliation relations of the electric energy metering devices contained in each region and each region, storing electric energy data reported by each electric energy metering device and providing a data access interface for the power utilization network topological relation calculation server;
the electricity utilization network topological relation calculation server is used for executing the following process contents:
determining one or more areas where power utilization network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions; calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the electricity utilization network exceeds a preset threshold value;
and the one or more intelligent terminals are accessed to the electricity utilization network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more electric energy metering devices and feeding back the actual topological attribution to the electricity utilization network topological relation calculation server.
In the embodiment of the invention, the intelligent terminal can be a professional detection device and is attached with data interaction capability of a topological relation calculation server of an electric network; or, the intelligent terminal is a general intelligent mobile phone, and the determination of the corresponding topology attribution may be completed by a professional detection device, and a worker who examines in the field transmits the verification result data to the electricity utilization network topology relation calculation server through the intelligent terminal, and the specific implementation form is not limited to the above two, and the derived similar verification mode and feedback mode both belong to the protection scope of the embodiment of the present invention.
The embodiment of the invention provides a method for determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors, and determining the probability of one or more electric energy metering devices in the power utilization network topological relation attribution error state in the one or more regions through electric energy data, so that a more effective troubleshooting basis is provided for workers who need to investigate on the spot. The embodiment of the invention has the advantage that the advantage is particularly outstanding for scenes with larger application scale.
In the embodiment of the invention, the electric energy metering device specifically corresponds to residents in each building under one platform area; or the electric energy metering device specifically corresponds to each household in a village under one transformer area; or the electric energy metering device specifically corresponds to each shop under one platform area; or the electric energy metering device specifically corresponds to each factory building under one platform area.
Because the topological relations of the power utilization networks of the transformer areas are different in chaos degree, the electric energy data of different transformer areas are also greatly different. Different and applicable mathematical models can be constructed for different district electric energy data, different algorithms are selected, and the topological relation of the district power utilization network can be calculated with higher efficiency. And the corresponding model and algorithm are stored in the power utilization network topological relation calculation server in advance. Several exemplary models are described in detail below:
model 1, summary table and branch table and residual (and residual variance) minimization model (the model 1 corresponds to the first mode in embodiment 1)
Model: min { residual } ═ summary table-sublist sum (1)
min{σResidual error}=σSummary table-branch table and(2)
physically, the mechanism by which model 1 holds is:
by using the combination of the formula (1), the fixed station area general table and the one-to-one exhaustive list table, the combination of the station area general table and the station area table which can enable the residual error to be the minimum value is calculated, and the combination can form a topological relation of a real power utilization network of the station area, namely a high-probability event.
By using the formula (2), the combination of the fixed station area general table and the one-to-one exhaustive distribution table, the combination of the station area general table and the station area table which can enable the variance value of the residual error to be the minimum value is calculated, and the combination can form a topological relation of a real power utilization network of the station area, namely a high-probability event.
When the error of the electric energy meter is ignored, if all the branch meters in the "branch meters and" in the equation (1) are the user electric energy meters in the station area, the residual error in the equation (1) is equal to 0, and when the error of the electric energy meter is considered, the residual error is equal to the sum of the errors of the electric energy meters and is a very small electric quantity, so that the branch meter with the minimum residual error is formed, and the event of all the electric energy meters in the station area is just a high-probability event. Even so, the criterion of minimum residual error can only be used as a necessary condition of correct topological relation of the power utilization network of the transformer area, but is not a sufficient condition. On the contrary, when the sub-meters and the middle-station-area external electric energy meter exist, the residual error tends to become larger.
The significance of equation (2) is that, even when the error factor of the electric energy meter is considered, when the sub-sum is just the entire electric energy meters in the station area, theoretically, the variance of the residual error is 0 (the residual error is 0, which is an essential condition for "the topological relation of the power utilization network in the station area is correct"). In practice, the variance of the residual is not 0, but a value very close to 0. When the partial table sum has an algorithm: the exhaustive user sub-tables form the sub-tables, and the sub-tables which satisfy the formulas (1) and (2) and the actual power utilization network topological relation under the general table are satisfied. On the contrary, when the sub-meters and the power meters outside the distribution area exist in the middle, the residual variance value tends to become larger.
In view of the fact that the electric energy meters in the station area and the electric energy meters outside the station area can be distinguished by using the formula (1) and the formula (2), the invention combines the electric energy meters as one of a set of mathematical models for calculating the topological relation of the power network of the station area.
Model 2, model for calculating correlation coefficient between partial table and general table (the model 2 corresponds to the second mode in example 1)
Figure BDA0001901624580000211
Wherein, w0iIs the data read i-th time of the table block summary table, wkiThe data read for the ith time of the kth block of the transformer area is data, the model 2 needs to read the power data of the transformer area for many times,the number of readings is counted as m.
The mechanism by which model 2 holds is:
by means of the formula (3), the table area summary w is fixed0iSelecting sub-meters and constructing in selectable (the number of users can reach N) electric energy data sets (the number of potential suspicions of the user electric energy meters in the station zone is the user electric energy meter of the station zone + the user electric energy meters in the adjacent station zones)
Figure BDA0001901624580000221
(where N is 1,2, … … N) to obtain a different value of N
Figure BDA0001901624580000222
A total combination of the tables and amounts, each selected from
Figure BDA0001901624580000223
One-to-one exhaustive calculation of w0iAnd
Figure BDA0001901624580000224
the correlation coefficient between the two is calculated to find the one with the maximum correlation coefficient (the correlation coefficient is close to 1) in the total combination
Figure BDA0001901624580000225
Dividing and measuring of
Figure BDA0001901624580000226
The partial table and the district summary table together can form a real district power utilization network topological relation, which is a high probability event. Model 2 can be used as a mathematical model for the topological relation combing calculation of the power utilization network of the transformer area.
W in equation (3) under the condition of neglecting the influence of errors of the electric energy meter0iAnd
Figure BDA0001901624580000227
should be equal to the integer 1, considering the error of the electric energy meter, w in the formula (3)0iAnd
Figure BDA0001901624580000228
the correlation coefficient between should be equal to a positive constant very close to 1.
Even so, because the influence of the error of the electric energy meter is unpredictable, the topological relation of the power utilization network of the station area calculated by taking the formula (3) as the criterion is only an approximate probability event and cannot be used as the topological relation of the power utilization network of the station area determined by 100%.
In view of the fact that the electric energy meters in the station area can be discriminated by using the formula (3), the invention uses the electric energy meters in the station area as one of a set of mathematical models for independently calculating the topological relation of the power utilization network of the station area.
Model 3, model for calculating the derivation relationship between the correlation coefficients of the partial tables and the general table (the model 3 corresponds to the first mode or the second mode for improvement by using the power line repair record or the data abnormal value in the embodiment 1, and corresponds to the processes of step 501 to step 502)
Figure BDA0001901624580000229
Wherein, w0iIs the data read i-th time of the table block summary table, wkiIs the data read for the ith time of the block table of the k-th block of the platform area,
Figure BDA00019016245800002210
is already determinable as a table of the table within the zone,
Figure BDA00019016245800002211
the model 3 given by the formula (4) needs to read the electric energy data of the transformer area for multiple times, and the reading times are counted as m times.
The mechanism by which model 3 holds is:
by means of the formula (4), the table area summary w is fixed0iAnd
Figure BDA0001901624580000231
remove but
Figure BDA0001901624580000232
In at leastIn the selected (the potential suspect of the user electric energy meter in the station area is the user electric energy meter in the station area + the user electric energy meter in the adjacent station area) electric energy data set (the maximum number of users can reach N), the sub-meters and the structures are selected
Figure BDA0001901624580000233
(where N is 1,2, … … N) to obtain a different value of N
Figure BDA0001901624580000234
(n-n1) combinations of tables and amounts, each of which is selected from the (n-n1) combinations
Figure BDA0001901624580000235
One-to-one exhaustive calculation
Figure BDA0001901624580000236
And
Figure BDA0001901624580000237
the correlation coefficient between the (n-n1) combinations is found by calculation to be the one having the largest correlation coefficient (correlation coefficient close to 1)
Figure BDA0001901624580000238
To separate tables and amounts, this "
Figure BDA0001901624580000239
Separate and compare with the above
Figure BDA00019016245800002310
Together, the quantities can constitute a true power network topology "is a high probability event. Model 3 can be used as one of the mathematical models for the topological relation combing calculation of the power utilization network of the transformer area.
Neglecting the effect of the error of the electric energy meter, in the formula (4)
Figure BDA00019016245800002311
And
Figure BDA00019016245800002312
should be equal to the integer 1, considering the error of the electric energy meter, the correlation coefficient between the two should be equal to the integer 1
Figure BDA00019016245800002313
And
Figure BDA00019016245800002314
the correlation coefficient between should be equal to a positive constant very close to 1.
Even so, because the influence of the error of the electric energy meter is unpredictable, the topological relation of the power utilization network of the station area calculated by taking the formula (4) as the criterion is only an approximate probability event and cannot be used as the topological relation of the power utilization network of the station area determined by 100%.
In view of the fact that the electric energy meters in the station area can be discriminated by using the formula (4), the invention uses the electric energy meters in the station area as one of a set of mathematical models for independently calculating the topological relation of the power utilization network of the station area.
The above-described incompletely deterministic nature of the computational results of the present invention applies to each mathematical model. Alternatively, there is no mathematical model that is capable of indifferently calculating the real power network topology relationship of the distribution area.
The calculation target is to obtain the topological relation of the power utilization network of the station area with the maximum probability (probability value), and different station area electric energy data are different for the same mathematical model, so different calculation methods are required to be selected.
For example, for the model 2, the sizes of the sub-tables and the correlation coefficient with the general table are compared and calculated to determine whether some electric energy meters belong to the region or belong to the region. In selecting the type of correlation coefficient, a complex correlation coefficient, a partial correlation coefficient, a pearson simple correlation coefficient, or the like may be selected.
Similarly, for the model 3, a complex correlation coefficient, a partial correlation coefficient, a pearson simple correlation coefficient, and the like may also be selected.
Various regression algorithms, various machine learning algorithms to train mathematical models, etc. may be used for model 1.
The technical solution formed by obtaining other similar implementable models based on the disclosed models by those skilled in the art without creative work will also fall within the protection scope of the present invention.
Which algorithm needs to be selected can also be self-learned in the calculation process through a computer. The embodiment of the invention can use the algorithm of the integration method in machine learning to respectively select different algorithms for the different mathematical models and the electric energy data to respectively calculate the real and correct calculation results of the topological relation of the power utilization network of the transformer area. Different models and algorithms are then given different weights to arrive at a comprehensive calculation conclusion. The method can be specifically implemented in the electricity utilization network topology relation calculation server in the embodiment.
Example 3:
whether the method steps described in embodiment 1 or the various models described in embodiment 2 calculate the probability of one or more energy metering devices (including at least the probability of an alien user and the probability of an escape user, and may also include a summary registration error probability, etc.) belonging to an error state, the energy data reported by each energy metering device recorded in the database server needs to be used. However, in the case that we further consider the error of the electric energy metering device itself, and the error of the error corresponding to each electric energy metering device under different load currents is segmented, further optimization processing is further proposed in the embodiment of the present invention as the input parameter for calculating the probability of one or more electric energy metering devices belonging to the error state of the topological relation of the electricity utilization network in the above-mentioned embodiments 1 and 2.
As shown in fig. 9, the data format reported by a typical electric energy metering device stored in the database server is shown, wherein, for different electric energy metering devices, in addition to the voltage-load current pair format (as shown in fig. 9), the electric energy-load current pair format (as shown in fig. 10) may also be adopted, and the two formats are equivalent; however, two ways have common characteristics in the embodiments of the present invention: the load current is recorded. Then, when the parameter value is specifically taken, the electric energy data of different electric energy metering devices related to the same calculation process is considered, and the load current at the same or adjacent energy level is extracted as much as possible, so that the electric energy data of the large-span load current in the calculation process can bring large fluctuation to the error deviation of the same electric energy metering device, and the accuracy of the final calculation result is influenced. As described herein, the operation may be performed according to a percentage reference value, so that the accuracy of the calculation is improved by the above-mentioned screening mechanism of the electric energy data participating in the calculation under the condition that the electric energy data itself is abundant. The embodiment 3 of the invention is particularly suitable for the situation that the calculation server has abundant calculation capacity when the topological relation of the power utilization network is calculated.
Example 4:
fig. 11 is a schematic structural diagram of a device for confirming a topological relation of an area power utilization network according to an embodiment of the present invention. The area electricity utilization network topology relation confirming device of the present embodiment includes one or more processors 21 and a memory 22. In fig. 11, one processor 21 is taken as an example.
The processor 21 and the memory 22 may be connected by a bus or other means, and fig. 11 illustrates the connection by a bus as an example.
The memory 22, which is a nonvolatile computer-readable storage medium, may be used to store a nonvolatile software program and a nonvolatile computer-executable program, such as the regional power utilization network topology relation confirmation method in embodiment 1. The processor 21 executes the regional power utilization network topology relationship validation method by executing the non-volatile software programs and instructions stored in the memory 22.
The memory 22 may include high speed random access memory and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 22 may optionally include memory located remotely from the processor 21, and these remote memories may be connected to the processor 21 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The program instructions/modules are stored in the memory 22, and when executed by the one or more processors 21, perform the method for confirming the topology relationship of the area power utilization network in the embodiment 1, for example, perform the steps shown in fig. 1, fig. 4, fig. 5, and fig. 7 described above.
It should be noted that, for the information interaction, execution process and other contents between the modules and units in the apparatus and system, the specific contents may refer to the description in the embodiment of the method of the present invention because the same concept is used as the embodiment of the processing method of the present invention, and are not described herein again.
Those of ordinary skill in the art will appreciate that all or part of the steps of the various methods of the embodiments may be implemented by associated hardware as instructed by a program, which may be stored on a computer-readable storage medium, which may include: a Read Only Memory (ROM), a Random Access Memory (RAM), a magnetic or optical disk, or the like.
Example 4:
the embodiment of the invention also provides an example of an application of the method for confirming the topological relation of the regional power utilization network provided by the embodiment 1 of the invention and the system for confirming the topological relation of the regional power utilization network provided by the embodiment 2. In the embodiment of the present invention, the topological relation of the regional power utilization network is specifically expressed as a power distribution area topology, and the concept of the power distribution area topology refers to that a power supply and utilization user, which is composed of a power transformer (usually, a total electric energy meter is correspondingly arranged, i.e., one of specific expression forms of a total electric energy meter of an electric energy metering device), and all electric energy users (each of which is provided with a user electric energy meter, i.e., one of specific expression forms of a sub-meter of an electric energy metering device described in embodiment 1 of the present invention) supplied with power by the power transformer, forms a power supply area.
The line connection relationship between the transformer total electric energy meter and the user electric energy meter is called a distribution room network power utilization network topological relationship (a distribution room power utilization network topological relationship for short). Since the power lines in the distribution area are in the wall, in the cable trench, and in addition, other transformers are nearby, a statistical error often occurs when the power consumer is actually connected to which power transformer, which is described as a distribution area power utilization network topology relation error in the embodiment of the present invention. The contents of the examples are as follows:
and (3) calculating topological relations of power utilization networks of 2 transformers of 6# power distribution room and power supply station areas of 6# power distribution room in south 96 # Hongkhongshijia district (hereinafter referred to as "Hongkhong district") in Chan city of Buddha mountain of Guangdong province.
The time of the electric energy data is as follows:
25 days of active power data during the 18 th to 14 th 6 th 7 th 2018.
Calculation process of topological relation of regional power utilization network
First step, selecting data
The Foshan Power supply company returns 25 days of electric energy data from the information center of the Guangdong province Power supply company, and comprises all the electric energy data of 16 districts of the whole Hongkong Hongshi home district.
Second step, selecting mathematical model and algorithm
Three models and algorithms are selected, respectively:
model 1, summary and sub-tables, and residual (and residual variance) minimization model
Model: min { residual }, sum of partial table
min{σResidual error}=σSummary table-branch table and
the algorithm selects a 'table-dividing and' combined exhaustive test algorithm. The details are shown in corresponding contents in embodiment 1 and embodiment 2, and are not described herein again.
Model 2, model for calculating correlation coefficient between sublist and general table
Figure BDA0001901624580000271
Algorithm selects w0iAnd
Figure BDA0001901624580000272
"multiple correlation coefficient maximizationAn algorithm, wherein
Figure BDA0001901624580000273
The term is optimized by combining the exhaustive methods. The details are shown in corresponding contents in embodiment 1 and embodiment 2, and are not described herein again.
Model 3, model for calculating derivation relation of correlation coefficients of partial table and general table
Figure BDA0001901624580000274
Algorithm selects w0iAnd
Figure BDA0001901624580000275
the algorithm of "Pearson's correlation coefficient maximization", wherein
Figure BDA0001901624580000276
The term is optimized by combining the exhaustive methods. The details are shown in corresponding contents in embodiment 1 and embodiment 2, and are not described herein again.
Third step, calculating and checking result on site
The following table comprehensively checks the accuracy conclusion of the topological algorithm
Figure BDA0001901624580000277
Note: in the above table, "the verified number of households" is the number of all verified households in the electric room; the 'correct number of users' is the number of users whose topological attribution relations in all users conform to the 'topological relation table of recommended power utilization network' (i.e. the calculation result is verified to be correct); the 'calculation number of users' is the number of users with wrong attribution of the topological relation of the power utilization network, which is the object to be checked by the staff to be examined on the spot, for the current calculation result of the user crossing; the 'extra calculation result' is the number of conventional users in the electric room, namely the calculation probability of the electric network topological relation attribution is regarded as a correct object.
From the calculation and verification results, the accuracy of the calculation results of the cross-family is high, and 2 transformer areas of the 6# electric room reach 100%.
Meanwhile, the situation of 'miscalculation caused by miscalculation of cross-house' also exists, the miscalculation rates of 2 areas are respectively 5.8% and 12.8%, and the results of after-the-fact research show that the miscalculation is mainly caused by different periods of electric energy data acquisition. The power supply company is very satisfied with the calculation result, and the result greatly exceeds the requirement of the assessment index.
And adjusting according to the calculation and the field verification result to obtain the real power utilization network topological relation of the transformer area.
The calculation of the current round can be completed, and the rest of the cross-households can be calculated and checked for resolution in the second round if necessary.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (13)

1. A method for confirming topological relation of a regional power utilization network is characterized by comprising the following steps:
determining one or more areas where power utilization network topological relation attribution errors can potentially occur;
acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions;
and confirming one or more electric energy metering devices in the one or more areas, wherein the electric energy metering devices are in the electric network topology attribution error state according to the electric energy data.
2. The method for confirming the topological relation of the regional power utilization network according to claim 1, wherein the step of confirming one or more electric energy metering devices in the one or more regions, which are in the power utilization network topological relation attribution error state, specifically comprises the steps of:
and calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the power utilization network exceeds a preset threshold.
3. The method for confirming the topological relation of the regional power utilization network according to claim 2, wherein the method further comprises:
and verifying the actual attribution condition of the topological relation of the power utilization network by a field investigation worker according to the equipment identification information of the one or more electric energy metering devices.
4. The method for confirming the topological relation of the regional power utilization network according to claim 3, wherein after the field-investigation worker verifies the attribution of the topological relation of the actual power utilization network according to the equipment identification information of the one or more electric energy metering devices, the method further comprises:
obtaining a verification result which is returned by the field investigation staff and aims at whether the power utilization network topological relation attribution of the one or more electric energy metering devices is correct or not;
and iterating the verification result to the electricity utilization network topological relation attribution calculation process to obtain one or more electric energy metering devices of which the updated electricity utilization network topological relation attribution error probability exceeds a preset threshold value.
5. The method for confirming the topological relation of the regional power utilization network according to claim 2, wherein the calculating of the one or more electric energy metering devices in the one or more regions where the probability of the home error of the topological relation of the power utilization network exceeds a preset threshold specifically includes:
calculating the correlation between the electric energy data of the electric energy metering device general meter in each area and the electric energy data of one or more electric energy metering devices which establish the attribution of the useful power network topological relation with each area in the current record;
and determining one or more electric energy metering devices with the probability of the home error of the topological relation of the electricity utilization network exceeding a preset threshold according to the correlation.
6. The method for confirming the topological relation of the regional power utilization network according to claim 5, wherein the calculating the correlation between the electric energy data of the electric energy metering device general table in each region and the electric energy data of one or more electric energy metering devices which are currently recorded and have established the attribution of the topological relation of the power utilization network in each region specifically comprises:
exhausting the electric energy metering devices in the one or more regions, wherein the electric energy metering devices can form a combination between the electric energy metering device total meter in each region and the electric energy metering device sub-meters contained in the corresponding region;
according to the electric energy Z of the electric energy metering deviceiAnd the sum F of sub-meter electric energy of electric energy metering devices contained in corresponding areas in corresponding combinationsiCalculating ZiAnd FiThe difference of the two and/or the variance of the difference of the two; wherein i indicates the ith combination;
comparing calculated Z of each combinationiAnd FiAnd obtaining the probability that each combination belongs to the correct topological relation of the power utilization network according to the difference of the two and/or the variance of the difference of the two.
7. The method for confirming the topological relation of the regional power utilization network according to claim 5, wherein the calculating of the variance of the electric energy data of the electric energy metering device general table in each region and the electric energy data of one or more electric energy metering devices which establish the attribution of the topological relation of the power utilization network with each region in the current record specifically comprises:
calculating said Z when removing or adding the user's electric energy meter to be determinediAnd FiA difference between the two and/or a variance of the two;
exhaustive calculation of all the user electric energy meters to be judged or the combination thereof, and adding or quitting FiWhen is brought to ZiAnd FiAnd the difference value of the two and/or the variance of the two changes towards minimization, so that the probability that the user electric energy meter to be judged or the combination of the user electric energy meter to be judged belongs to the right topological relation of the power utilization network is judged.
8. The method for confirming the topological relation of the regional power utilization network according to claim 5, wherein the calculating the correlation between the electric energy data of the electric energy metering device general table in each region and the electric energy data of one or more electric energy metering devices which are currently recorded and have established the attribution of the topological relation of the power utilization network in each region specifically comprises:
exhausting the electric energy metering devices in the one or more regions, wherein the electric energy metering devices can form a combination between the electric energy metering device total meter in each region and the electric energy metering device sub-meters contained in the corresponding region;
array formed according to electric energy Z of electric energy metering device total meterk1,Zk2,…,Zkj) And an array (F) of sums F of sub-meters of electric energy metering devices contained in corresponding areas of the respective combinationsk1,Fk2,…,Fkj) Calculating the similarity of the two; wherein k is the serial number of the corresponding data group for calculating the similarity, and j is the number of data contained in each group of data;
and according to the actually obtained electricity utilization network topological relation attribution relation and the obtained probability that each combination is correct for the electricity utilization network topological relation attribution.
9. The method for confirming topological relation of regional power utilization networks according to any one of claims 6 to 8, wherein before exhausting the one or more regions, each electric energy metering device can form a combination between the electric energy metering device total table in each region and the electric energy metering device sub-tables contained in the corresponding region, the method further comprises:
according to the power consumption circuit maintenance record at the data management platform side and/or the feedback measurement data abnormal value of the power consumption metering device exceeding the preset threshold value and the original attributive area information of each power consumption metering device, the verification of each power consumption metering device and the attributive area is completed;
and taking the verification result as a known fixed attribute in the exhaustive combination, and performing the operation related to the exhaustive combination on the electric energy metering devices which are not verified.
10. The method for confirming topological relation of regional power utilization networks according to any one of claims 2 to 8, wherein the electric energy data of each electric energy metering device is stored according to the corresponding relation between the electric energy data and the load current, and when the corresponding electric energy data is used for the calculation, the method further comprises:
and for the respective electric energy data of different electric energy metering devices related to the same round of calculation process, extracting the electric energy data of which the respective load currents are at the same or adjacent energy levels as parameter values for calculation.
11. The method for confirming the topological relation of the regional power utilization network according to claim 1, wherein before determining one or more regions where a topological relation attribution error of the power utilization network can potentially occur, the method further comprises:
respectively calculating the relationship between the electric energy data of the electric energy metering device general meter of each district and the electric energy data sum of the electric energy metering device sub-meters in the district, and confirming one or more target areas with power utilization network topology relationship attribution errors;
determining one or more sub-regions where a topology relationship attribution error of the power utilization network potentially occurs, specifically: and determining one or more regions which are potentially subjected to power utilization network topological relation attribution errors with the one or more target regions according to the one or more target regions.
12. A system for confirming topological relation of an area power utilization network is characterized by comprising a database server, a power utilization network topological relation calculation server and one or more intelligent terminals, and specifically comprises the following steps:
the database server is used for storing initial affiliation relations of the electric energy metering devices contained in each region and each region, storing electric energy data reported by each electric energy metering device and providing a data access interface for the power utilization network topological relation calculation server;
the electricity utilization network topological relation calculation server is used for executing the following process contents:
determining one or more areas where power utilization network topological relation attribution errors can potentially occur; acquiring electric energy data corresponding to each electric energy metering device contained in the one or more regions; calculating one or more electric energy metering devices in the one or more regions, wherein the probability of the home error of the topological relation of the electricity utilization network exceeds a preset threshold value;
and the one or more intelligent terminals are accessed to the electricity utilization network topological relation calculation server and used for determining actual topological attribution according to the equipment identification information of the one or more electric energy metering devices and feeding back the actual topological attribution to the electricity utilization network topological relation calculation server.
13. An apparatus for confirming a topological relation of a regional power utilization network, the apparatus comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor and programmed to perform the method for regional power utility network topology relationship validation of any of claims 1-11.
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