CN113381408A - Power utilization abnormity distribution transformer positioning method and device based on distribution automation data - Google Patents
Power utilization abnormity distribution transformer positioning method and device based on distribution automation data Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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Abstract
The invention discloses a power utilization abnormity distribution transformer positioning method and device based on distribution automation data, wherein the method comprises the following steps: obtaining sunrise line active power data of a distribution automation terminal installed under a line; calculating the sum of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the sum of first electric quantities; based on the distribution line variable relation, the daily power consumption in a corresponding distribution transformer collector under a certain distribution automation terminal is summed up in detail to obtain the sum of the second power consumption; calculating an electric quantity deviation rate according to the first electric quantity sum and the second electric quantity sum; judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value; and if the electric quantity deviation rate in the continuous time period is not less than the first preset threshold, judging whether the fluctuation deviation rate is not more than a second preset threshold. By acquiring data such as electric quantity of the automatic terminal, abnormal distribution and transformation under the line are combed, the effect of positioning the abnormal distribution and transformation range is achieved, and the treatment efficiency is greatly improved.
Description
Technical Field
The invention belongs to the technical field of power utilization abnormity, and particularly relates to a power utilization abnormity distribution transformer positioning method and device based on distribution automation data.
Background
The power system adopts a 'quartering' management method for the loss of the distribution network, namely the loss of the power transmission process is accurately evaluated according to four dimensions of branching, partitioning, voltage division and distribution area, and the 10kV line branching and line loss also becomes one of important indexes for measuring the economic operation degree of the distribution network along with the promotion of the lean management work of the distribution network.
Due to the problems of complex power distribution network lines, inaccurate basic information and ledgers, frequent occurrence of electric quantity acquisition faults and the like, the lines often have line loss abnormity, so that the elimination of the line loss abnormity and the promotion of branch line loss indexes have important significance for the quality improvement, efficiency improvement, deepening and lean management of the power system.
However, a set of quick and accurate positioning method is lacked in the existing line loss abnormity troubleshooting, the troubleshooting process of line operation and maintenance personnel is long in time consumption, the treatment workload is large, and the efficiency is low.
Disclosure of Invention
The invention provides a power utilization abnormity distribution transformer positioning method and device based on distribution automation data, which are used for solving at least one of the technical problems.
In a first aspect, the present invention provides a power consumption abnormal distribution transformer positioning method based on distribution automation data, including: obtaining sunrise line active power data of distribution automation terminal installed under lineWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and, in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay; based on the active power data of the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upThe calculation formula of (A) is as follows:(ii) a Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained(ii) a According to the sum of the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:(ii) a Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value; if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold; if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
In a second aspect, the present invention provides a power consumption abnormality distribution transformer positioning apparatus based on distribution automation data, including: an acquisition module configured to acquire an installation under a lineSunrise line active power data of electric automation terminalWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and, in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay; a first computing module configured to compute active power data based on the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upMeter (2)The formula is as follows:(ii) a A summation module configured to sum the daily power consumption details in the distribution transformer collector corresponding to a certain distribution automation terminal based on the distribution line transformation relation, so as to obtain a second total power consumption(ii) a A second calculation module configured to sum up the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:(ii) a The first judgment module is configured to judge whether the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value; the second judging module is configured to judge whether the fluctuation deviation rate is not greater than a second preset threshold value or not if the electric quantity deviation rate in the continuous time period is not less than the first preset threshold value; and the feedback module is configured to determine that a transformer under a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying power if the fluctuation deviation rate is not greater than a second preset threshold, and determine that a transformer under a certain distribution automation terminal has a risk of electricity stealing if the fluctuation deviation rate is greater than the second preset threshold.
In a third aspect, an electronic device is provided, comprising: the power distribution automation system comprises at least one processor and a memory which is connected with the at least one processor in a communication mode, wherein the memory stores instructions which can be executed by the at least one processor, and the instructions are executed by the at least one processor so as to enable the at least one processor to execute the steps of the power utilization abnormity distribution transformation positioning method based on the power distribution automation data.
In a fourth aspect, the present invention further provides a computer-readable storage medium, on which a computer program is stored, the computer program comprising program instructions which, when executed by a computer, cause the computer to perform the steps of the power distribution automation data-based power abnormality distribution transformation positioning method according to any one of the embodiments of the present invention.
According to the power consumption abnormal distribution transformation positioning method and device based on the distribution automation data, abnormal power consumption distribution transformation running under a circuit is combed by acquiring data such as the electric quantity of an automation terminal, the effect of positioning the abnormal distribution transformation range is achieved, the treatment efficiency is greatly improved, the power system operation and maintenance personnel are guided to conduct targeted rectification and elimination, and the method and device have important significance for comprehensively improving the lean management level and the economic running level of a power grid.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a flowchart of a power consumption abnormal distribution and transformation positioning method based on distribution automation data according to an embodiment of the present invention;
fig. 2 is a flowchart of a power consumption abnormal distribution and transformation positioning method based on distribution automation data according to an embodiment of the present invention;
FIG. 3(a) is a diagram of the daily power consumption of the first day of the first automated terminal according to an embodiment of the present inventionA situation schematic diagram;
FIG. 3(b) is a diagram illustrating the daily power consumption of the first automated terminal for the next day according to an embodiment of the present inventionA situation schematic diagram;
FIG. 3(c) is a diagram of the daily power consumption of the first automated terminal on the third day according to an embodiment of the present inventionA situation schematic diagram;
FIG. 4(a) is a diagram of the daily power consumption of the first day of the second automated terminal according to an embodiment of the present inventionA situation schematic diagram;
FIG. 4(b) is a diagram illustrating the daily power consumption of the second automated terminal for the next day according to an embodiment of the present inventionA situation schematic diagram;
FIG. 4(c) is a diagram of the daily power consumption of the second automated terminal on the third day according to an embodiment of the present inventionA situation schematic diagram;
fig. 5(a) is a diagram illustrating the daily power consumption of the third automated terminal on the first day according to an embodiment of the present inventionA situation schematic diagram;
FIG. 5(b) is a diagram illustrating the daily power consumption of the third automated terminal for the next day according to an embodiment of the present inventionA situation schematic diagram;
FIG. 5(c) is a diagram of the daily power consumption of the third day of the third automated terminal according to an embodiment of the present inventionA situation schematic diagram;
fig. 6 is a block diagram of an electrical anomaly distribution positioning apparatus based on distribution automation data according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flow chart of a power utilization abnormal distribution positioning method based on distribution automation data according to the present application is shown.
As shown in fig. 1, in step S101, sunrise line active power data of a distribution automation terminal installed under a line is acquiredWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and,in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay;
in step S102, active power data is generated based on the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upThe calculation formula of (A) is as follows:;
in step S103, based on the distribution line transformation relationship, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed up in detail so as to obtain a second total power consumption;
In step S104, according to the sum of the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:;
in step S105, determining whether the electric quantity deviation ratios in the continuous time period are all smaller than a first preset threshold;
in step S106, if the electric quantity deviation ratio in the continuous time period is not less than a first preset threshold, determining whether the fluctuation deviation ratio is not greater than a second preset threshold;
in step S107, if the fluctuation deviation ratio is not greater than the second preset threshold, a transformer in a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying factor, and if the fluctuation deviation ratio is greater than the second preset threshold, a transformer in a certain distribution automation terminal has a risk of electricity stealing.
The method is based on the obtained active power data of sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesAnd based on the distribution line variable relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail to obtain the second power consumption sumAfter the corresponding electric quantity is obtained through two modes, the first electric quantity sum is comparedSum of the second electric quantityOf such a size thatThe problem of abnormal power utilization of a certain distribution automation terminal can be determined on the basis of analyzing the power deviation rate and the fluctuation deviation rate of the certain distribution automation terminal, so that later-stage workers can locate branch lines of abnormal power utilization distribution transformers conveniently.
In some optional embodiments, the method further comprises locating a branch line where the abnormal power distribution transformer is located based on the power utilization abnormality problem.
Referring to fig. 2, a flow chart of another power utilization abnormal distribution positioning method based on distribution automation data according to the present application is shown.
As shown in fig. 2, a power consumption abnormal distribution positioning method based on distribution automation data includes the following steps:
step one, obtaining the latest line change relationship of the line and the data of the electricity supply and sale in nearly 3 days. The method specifically comprises the following steps:
and determining the line change relation condition based on the acquired line single line diagram, and acquiring the latest electricity supply and sale quantity data of the distribution line in the period of near 3 days of abnormal line loss.
And step two, acquiring data such as distribution transformation names, table bottoms, multiplying power user types and the like under the circuit. The method specifically comprises the following steps:
and acquiring the detailed power consumption conditions of all transformers in the power sales volume, wherein the detailed power consumption conditions comprise the names of the transformers, the upper and lower bottoms of the public and special transformers, the metering multiplying power of the transformers, the daily power consumption of the distribution and transformation collector, the types of users (the public transformers or the special transformers), and the like.
And step three, acquiring daily active power data of the outgoing line of the distribution automation terminal in nearly 3 days under the line. The method specifically comprises the following steps:
and acquiring the condition of installing the electric automation terminal under the line. Assuming that the total number of the distribution automation terminals of N places of the line is N, taking the collection of the terminals once every half hour as an example, the sunrise line active power data collected by each place of the terminal in nearly 3 days is obtained。
Step four, calculating the daily output amount by using the active power. The method specifically comprises the following steps:
active power data based on acquired sunrise lineCalculatingIn the formula, T is the collection time interval to obtain the total of all public and private variable daily electric quantities under the terminal;
Step five, combining the line-to-line relation, and summing the daily power consumption details in the corresponding distribution transformer collector under the terminal to obtain。
And step six, judging whether the electric quantity deviation rate eta is less than 5% after 3 days. The method specifically comprises the following steps:
after the corresponding electric quantity is obtained through two modes, the electric quantity is comparedAndmagnitude, defining the deviation ratio of the electric quantity asIf eta is less than 5% in nearly 3 days, the terminal is not provided with abnormal power distribution transformation under the outgoing line.
Seventhly, if eta is less than 5% in nearly 3 days, judging whether the fluctuation deviation rate meets the requirement. The method specifically comprises the following steps:
if the 3-day internal formElectric quantity difference value ofMaintained at a certain level, i.e. rate of fluctuation deviationSatisfy the requirement ofIn the formula (I), wherein,in order to be able to measure the rate of the fluctuation deviation,in a continuous time periodThe difference in the amount of power of each distribution automation terminal,in a continuous time periodAverage value of difference between electric quantities of individual distribution automation terminals, i.e.,Is as followsThe power difference of the k-th day of each distribution automation terminal,there may be problems such as error of linear transformation relationship or error of magnification ratio, etc., if it is determined that the position is not the same as the position of the display panelIn the case of large fluctuation deviations, i.e.There may be a theft of electricity.
In a specific embodiment, the abnormal situation of line loss occurs continuously for a plurality of days on a new 10kV line, and data such as the latest single line diagram of the line, the detail of the power supply and sale and the detail situation of the power consumption of the transformer are obtained according to requirements for analysis. The total 4 positions are measured by an automatic terminal arranged under the line after combing, and daily active power data of each position are obtainedAnd the total of all public and private variable daily electric quantities of 3 continuous days under the terminal is obtained by integral calculationIn the case shown in fig. 3(a) to 5(c), the integrated value in the graph is the terminal-measured daily electricity consumption data.
Calculating the total of daily electric quantity of distribution transformer under each terminal by means of active power integralThen, the electric quantity of all distribution and transformation collectors under the automatic terminal is counted through a single line diagram to obtainThe formation tables are shown in tables 1 to 3 below. Calculating the electric quantity by two methods respectively to obtain deviation rateAs shown in table 4 below.
The comparison shows that the third automatic terminal measures the electric quantity dataAnd the data of the electric quantity measured by the collectorRate of deviation of electric quantityThe power consumption abnormal distribution change exists under the terminal, and the fluctuation deviation rate within 3 daysSatisfy the requirement ofThe power utilization abnormity is the public and special variable rate problem.
After the problem is successfully determined, the user goes to the site to carry out multiplying factor check on two distribution transformers under a third terminal one by one, the phenomenon that the daily electric quantity is abnormal due to the fact that the multiplying factor of one distribution transformer is too small is found, the phenomenon of leakage and leakage occurs, and the line loss returns to be normal after the measuring multiplying factor is adjusted in a power failure mode.
Referring to fig. 6, a block diagram of a power utilization abnormal distribution transformer positioning device based on distribution automation data according to the present application is shown.
As shown in fig. 6, the power consumption abnormal distribution transformer positioning apparatus 200 includes an obtaining module 210, a first calculating module 220, a summing module 230, a second calculating module 240, a first determining module 250, a second determining module 260, and a feedback module 270.
Wherein, the obtaining module 210 is configured to obtain sunrise line active power data of the distribution automation terminal installed under the lineWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and,in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay; a first calculation module 220 configured to calculate active power data based on the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upThe calculation formula of (A) is as follows:(ii) a A summation module 230 configured to sum the daily power consumption details in the distribution transformer collector corresponding to a certain distribution automation terminal based on the distribution line transformation relation, so as to obtain a second total power consumption(ii) a A second calculation module 240 configured to sum the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:(ii) a A first determining module 250 configured to determine whether the electric quantity deviation rates in consecutive time periods are all smaller than a first preset threshold; a second determining module 260 configured to determine whether the fluctuation deviation ratio is not greater than a second preset threshold if the electric quantity deviation ratio in the continuous time period is not less than a first preset threshold; the feedback module 270 is configured to determine that there is a risk of a transformer relationship error or a magnification ratio error risk in the transformer at a certain distribution automation terminal if the fluctuation deviation ratio is not greater than a second preset threshold, and determine that there is a risk of electricity stealing in the transformer at the certain distribution automation terminal if the fluctuation deviation ratio is greater than the second preset threshold.
It should be understood that the modules recited in fig. 6 correspond to various steps in the method described with reference to fig. 1. Thus, the operations and features described above for the method and the corresponding technical effects are also applicable to the modules in fig. 6, and are not described again here.
In other embodiments, the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores computer-executable instructions, where the computer-executable instructions may execute the power utilization abnormality distribution transformation positioning method based on the distribution automation data in any of the above method embodiments;
as one embodiment, the computer-readable storage medium of the present invention stores computer-executable instructions configured to:
Based on the active power data of the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities;
Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained;
According to the sum of the first electric quantityAnd the second sum of electric quantitiesCalculating the electricityRate of magnitude deviation;
Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold;
if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
The computer-readable storage medium may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created from use of the power abnormality distribution positioning apparatus based on the distribution automation data, and the like. Further, the computer-readable storage medium may include high speed random access memory, and may also include 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 computer readable storage medium optionally includes memory remotely located from the processor, and the remote memory may be connected to a power utilization anomaly distribution and location device based on the distribution automation data 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.
Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 7, the electronic device includes: a processor 310 and a memory 320. The electronic device may further include: an input device 330 and an output device 340. The processor 310, the memory 320, the input device 330, and the output device 340 may be connected by a bus or other means, as exemplified by the bus connection in fig. 7. The memory 320 is the computer-readable storage medium described above. The processor 310 executes various functional applications and data processing of the server by running the nonvolatile software programs, instructions and modules stored in the memory 320, namely, implementing the power utilization abnormality distribution transformation positioning method based on the power distribution automation data of the above method embodiment. The input device 330 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the power utilization abnormality distribution positioning device based on the power distribution automation data. The output device 340 may include a display device such as a display screen.
The electronic device can execute the method provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the method provided by the embodiment of the present invention.
As an embodiment, the electronic device is applied to a power consumption abnormality distribution and transformation positioning device based on distribution automation data, and is used for a client, and the electronic device 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 to cause the at least one processor to:
Based on the active power data of the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantities;
Based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained;
According to the sum of the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rate;
Judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold;
if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods of the various embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (7)
1. A power utilization abnormity distribution transformer positioning method based on distribution automation data is characterized by comprising the following steps:
obtaining sunrise line active power data of distribution automation terminal installed under lineWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and,in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay;
based on the active power data of the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upThe calculation formula of (A) is as follows:
based on the distribution line transformation relation, the daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed in detail, so that the sum of the second power consumption is obtained;
According to the sum of the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:;
judging whether the electric quantity deviation rates in the continuous time period are all smaller than a first preset threshold value;
if the electric quantity deviation rate in the continuous time period is not smaller than a first preset threshold, judging whether the fluctuation deviation rate is not larger than a second preset threshold;
if the fluctuation deviation rate is not greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of line-variable relation error or a risk of multiplying power error, and if the fluctuation deviation rate is greater than the second preset threshold value, a transformer under a certain distribution automation terminal has a risk of electricity stealing.
2. The method according to claim 1, wherein the distribution line variation relationship is determined by a distribution line single line diagram.
3. The power consumption abnormal distribution positioning method based on the distribution automation data as claimed in claim 1, wherein after determining whether the power deviation rates in the continuous time periods are all less than a first preset threshold, the method further comprises:
and if the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value, the abnormal power distribution change does not exist in the certain power distribution automatic terminal.
4. The power utilization abnormity distribution and transformation positioning method based on distribution automation data as claimed in claim 1, wherein the expression of the fluctuation deviation ratio is as follows:
in the formula (I), the compound is shown in the specification,in order to be able to measure the rate of the fluctuation deviation,in a continuous time periodThe difference in the amount of power of each distribution automation terminal,in a continuous time periodAverage value of difference between electric quantities of individual distribution automation terminals, i.e.,Is as followsThe power difference of the k-th day of each distribution automation terminal,。
5. the utility model provides an electricity utilization anomaly distribution transformer positioner based on distribution automation data which characterized in that includes:
an acquisition module configured to acquire sunrise line active power data of a distribution automation terminal installed under a lineWherein, in the step (A),indicating the second in a certain lineA distribution automation terminal, a power distribution network,indicating the first at a certain timeA collection point, and, in order to acquire the time interval of the acquisition,the first one corresponding to the active power data of sunrise lineDay;
a first computing module configured to compute active power data based on the sunrise lineCalculating the total of all public and private variable daily electric quantities under a certain distribution automation terminal to obtain the total of the first electric quantitiesWherein the first electric quantity is summed upThe calculation formula of (A) is as follows:;
a summation module configured to vary the relationship based on the distribution line routesThe daily power consumption in the corresponding distribution transformer collector under a certain distribution automation terminal is summed up in detail to obtain the second power consumption sum;
A second calculation module configured to sum up the first electric quantityAnd the second sum of electric quantitiesCalculating the electric quantity deviation rateWherein the electric quantity deviation ratio is expressed as:;
the first judgment module is configured to judge whether the electric quantity deviation rates in the continuous time periods are all smaller than a first preset threshold value;
the second judging module is configured to judge whether the fluctuation deviation rate is not greater than a second preset threshold value or not if the electric quantity deviation rate in the continuous time period is not less than the first preset threshold value;
and the feedback module is configured to determine that a transformer under a certain distribution automation terminal has a risk of error in a linear transformation relationship or a risk of error in a multiplying power if the fluctuation deviation rate is not greater than a second preset threshold, and determine that a transformer under a certain distribution automation terminal has a risk of electricity stealing if the fluctuation deviation rate is greater than the second preset threshold.
6. An electronic device, 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 to enable the at least one processor to perform the method of any of claims 1 to 4.
7. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the method of any one of claims 1 to 4.
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