CN114265000A - Electric energy meter error correction method and system based on wrong wiring vector diagram - Google Patents
Electric energy meter error correction method and system based on wrong wiring vector diagram Download PDFInfo
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Abstract
The invention belongs to the field of power equipment, and particularly relates to an electric energy meter error correction method, system and device based on a wrong wiring vector diagram. The error correction method of the electric energy meter comprises the following steps: s1: acquiring vector information of each phase voltage and current in the current wiring state; and further calculating the measurement result of the output power. S2: obtaining a voltage vector angle type u and a current vector angle type i; a training data set is constructed. S3: and acquiring load information L, load power factor information and load category number L provided on site. S4: determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method; s5: then determining the current wrong wiring type according to the load information provided on site; s6: and correcting the power metering result output by the electric energy meter according to the wrong wiring type. The problem of current three-phase electric energy meter's wrong wiring type be difficult to confirm, the mistake of measurement result can't be accurate, in time revise is solved in order to solve.
Description
Technical Field
The invention belongs to the field of power equipment, and particularly relates to an electric energy meter error correction method, system and device based on a wrong wiring vector diagram.
Background
The precision requirement of the three-phase intelligent electric energy meter is very high, because the metering accuracy of the intelligent electric energy meter is related to the benefits of both parties of electricity consumption settlement. Generally speaking, the metering accuracy of the electric energy meter is mainly influenced by the accuracy grade of the electric energy meter and the wiring mode. The higher the accuracy grade of the electric energy meter is, the smaller the electric energy metering error is. At present, common electric energy meters have various accuracy grades, and can fully meet the requirements of various industries. However, if the wiring of the electric energy meter is wrong, the electric energy metering error is large. When installing smart electric meter, because the wiring process is heavy and complicated, the problem of wrong wiring appears easily, seriously influences the degree of accuracy of electric energy measurement, leads to the electric quantity to take place the mistake and can't measure even, causes the damage of instrument, equipment even, brings certain economic loss.
In the practical application process, some wrong wiring modes do not necessarily cause equipment damage, but certainly cause errors of measurement results. Therefore, for the electric energy meter with wrong wiring, even if the wrong wiring state cannot be timely and effectively processed, as long as the type of the wrong wiring can be timely found, and then the metering result is corrected according to different wiring types, the influence caused by the wrong wiring mode can be reduced. However, in the existing three-phase intelligent electric energy meter, the wiring modes have a lot of possible wrong types, which brings difficulty to manually determine the wrong wiring types of the electric energy meter, and simultaneously causes that the metering error of the electric energy meter caused by wrong wiring is difficult to effectively correct.
Disclosure of Invention
The invention provides an electric energy meter error correction method, system and device based on a wrong wiring vector diagram, and aims to solve the problems that the wrong wiring type of the existing three-phase electric energy meter is difficult to determine, and the error of a metering result cannot be corrected accurately and timely.
The invention is realized by adopting the following technical scheme:
an electric energy meter error correction method based on a miswiring vector diagram comprises the following steps:
s1: acquiring vector information of each phase voltage and current in the current wiring state; and further calculating the output power measurement result in the current wiring state.
S2: acquiring a series of state data under a historical metering state, wherein the state data comprises: a voltage vector angle type u and a current vector angle type i; and forming a training data set by using the state data as sample data.
S3: acquiring load information L, load power factor information, load category number L, a power integration ascending data set T and a normal load data set D provided by a site.
S4: the method for determining the wrong wiring vector diagram corresponding to the current wiring state by adopting the independent forest and binary search comprises the following steps:
s41: initializing an abnormal detection tree, and randomly selecting gamma sample data from a training data set to be put into a root node of the abnormal detection tree.
S42: randomly appointing a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the space of the current node into 2 subspaces.
S43: and acquiring state data in the current metering state, inputting the state data into the anomaly detection tree, adding the state data into the left node of the current node if the state data is less than the cutting point p, and adding the state data into the right node of the current node if the state data is not less than the cutting point p.
S44: judging whether the sub-nodes meeting the conditions in the abnormal detection tree meet the condition that the data volume exceeds one and does not reach the limit height:
(1) if yes, traversing the abnormal detection tree by using the load information, and calculating the height of each tree and the height average value h.
(2) Otherwise, the process returns to step S42.
S45: calculating the vector diagram type v by adopting the following formula:
v＝4u+i-4。
and calculating a combination type e of a vector diagram wiring mode according to the vector diagram type v:
e＝6v+α-6
in the above formula, α is a cyclic control parameter, and α is 1 under the initialization condition.
S46: under the initialization condition, let L be 1 and r be L, the value of the intermediate point m is calculated by the following formula:
m＝int(l+r/2)；
in the above formula, l represents load information; r represents a variable used to calculate the value of m.
S47: recording the pulse frequency f in the current state, let Te，m＝f；Te，mIs a datum in the power integration ascending data set T, and updates the values of l and r according to the following strategy until l > r is satisfied:
(1) when T ise，m< L, then: l ═ m + 1;
(2) if T ise，m> L, then: r is m-1.
S48: 1 is added to the loop control parameter α, α +1 is made, and then the process of steps S45-S47 is performed in a loop until α is satisfied＞6。
S49: and determining the wrong wiring vector diagram of the current wrong wiring state according to the output of the abnormal detection tree.
S5: determining a plurality of possible suspected wrong wiring modes according to the wrong wiring vector diagram obtained in the step; then according to a load power factor, a power integral ascending data set T and a normal load data set D which are provided on site; and determining the wrong wiring mode as one of the suspected wrong wiring modes, namely the current wrong wiring type.
S6: and determining the incidence relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by using the incidence relation to obtain the correct metering result.
The method provided by the invention can be simultaneously applied to the electric energy meter adopting a three-phase three-wire connection mode and the electric energy meter adopting a three-phase four-wire connection mode.
For a three-phase three-wire electric energy meter, the voltage has 2 vector relations, which are respectively: a positive voltage phase sequence and a negative voltage phase sequence; the current has 4 vector relations, which are respectively: the current positive phase sequence, the current negative phase sequence, the current polarity are normal, and the current of one phase has the reverse polarity; the wiring vector diagrams combined by the voltage and the electric quantity are 8 in total.
For a three-phase four-wire electric energy meter, the voltage wiring types comprise 24, and the current phase sequence types comprise 6; the current polarity category includes 8; 1152 wiring vector diagrams are combined.
In the invention, any wiring vector diagram is selected; the corresponding wiring types do not exceed 6 types, and the wrong wiring type corresponding to the wiring vector diagram can be judged manually through the field load condition.
The invention also comprises an electric energy meter error correction system based on the miswiring vector diagram, which is used for correcting the metering result of the electric energy meter by adopting the electric energy meter error correction method based on the miswiring vector diagram and outputting the correct metering result. This electric energy meter error correction system includes: the system comprises an electric quantity information acquisition module, a wiring detection module, a power correction module, a manual verification module and an electric energy output module.
The electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter.
And the wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information.
The power correction module is used for calculating a metering result P of the output power in the electric energy meter according to the acquired voltage vector information and current vector information0(ii) a Then 6 suspected false wiring modes are determined according to the false wiring vector diagram; finally, according to the incidence relation beta between the metering result and the normal result of each wrong wiring modeiRespectively calculating the output power correction results P under the conditions of 6 suspected wrong wiring modesi：Pi＝βi·P0I is 1,2,3,4,5, 6; wherein, betaiIs a series of expert experience values.
The manual checking module is a manual interaction module, and a worker manually checks the load condition of the current power utilization node, and inquires a corresponding load power factor, a power integral ascending data set T and a normal load data set D; and then, manually determining which wrong wiring mode the current wiring mode of the electric energy meter belongs to in the wrong wiring vector diagram output by the wiring detection module according to the load condition, and inputting the confirmation result of the wrong wiring mode into the manual checking module.
The electric energy output module comprises a power integration unit which is used for calculating an electric energy result Ei metered by the electric energy meter in an electricity utilization period according to a correction result Pi output by the function correction module; and the electric energy meter output module inquires the wrong wiring mode determined in the manual checking module and takes the electric energy metering result corresponding to the wrong wiring mode as the output of the electric energy output module.
As a further improvement of the invention, the electric energy output module simultaneously outputs six correction results corresponding to the current wrong wiring vector diagram before acquiring the confirmation result of the wrong wiring mode sent by the manual checking module. And when the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
As a further improvement of the invention, each functional module of the electric energy meter error correction system is arranged on the electric energy meter. The electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and finishing the correction process of the metering result locally on the electric energy meter. The electric energy meter error correction system also comprises a communication module, and the communication module is used for metering and sending the corrected electric energy determined by the electric energy output module to a settlement center of the electric power management system.
As a further improvement of the invention, the electric energy meter error correction system also comprises a communication module, and the communication module and the electric quantity information acquisition module are positioned on the electric energy meter. The wiring detection module, the power correction module, the manual verification module and the electric energy output module are located in a settlement center of a remote electric power management system. The communication module sends the data acquired locally by the electric quantity information acquisition module to a remote end, and the process of correcting the metering result of the electric energy meter is completed at the remote end.
The invention also comprises an electric energy meter error correction device based on the miswired vector diagram, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the electric energy meter error correction method based on the miswired vector diagram.
The technical scheme provided by the invention has the following beneficial effects:
1. the technical scheme of the invention can fully apply the existing electric energy data, judge the wrong wiring vector diagram of the electric energy meter in the current wiring state by the information of voltage, current angle and the like, and can judge whether the wrong wiring fault exists in the electric energy meter; the wiring faults of the electric energy meter can be accurately classified, the range of the wrong wiring type of the electric energy meter is greatly reduced, and the actual wrong wiring type is locked through manual inspection of load information. And finally, correcting the electric quantity metering result with errors according to the incidence relation between the wrong wiring types and the correct wiring types. The method can realize the quick real-time detection of the wiring fault of the electric energy meter, and correct the wrong metering information through the algorithm before the wrong wiring fault is eliminated; the influence of wrong wiring faults on both parties of electricity consumption settlement is reduced.
2. The invention applies the independent forest technology to detect the abnormity; the core idea of the independent forest anomaly detection is to divide all data points until the data points cannot be subdivided. Since the data of the outlier is not in the same form as the other data, it can be divided from the other data points with a few division steps. Based on this, outliers are distinguished by the depth of the data in the independent forest and setting a threshold. In addition, a binary search method is also applied to data searching. The independent forest technology and binary search are integrated, so that the data processing speed and accuracy are improved; the accuracy and the reliability of fault diagnosis are improved. And a foundation is laid for the power value corrected and output by the power correction module through the accurately positioned wrong wiring type.
Drawings
Fig. 1 is a flowchart illustrating steps of a method for correcting an error of an electric energy meter based on a miswiring vector diagram in embodiment 1 of the present invention.
Fig. 2 is a schematic block diagram of an electric energy meter error correction system based on a miswiring vector diagram in embodiment 2 of the present invention.
Fig. 3 is a schematic block diagram of an electric energy output module in embodiment 2 of the present invention.
Fig. 4 is a schematic frame diagram of an error correction system for a locally deployed electric energy meter according to embodiment 2 of the present invention.
Fig. 5 is a schematic diagram of a framework of an error correction system for an electric energy meter adopting remote deployment in embodiment 2 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be 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.
Example 1
The method for correcting the error of the electric energy meter based on the miswiring vector diagram, as shown in fig. 1, includes the following steps:
s1: acquiring vector information of each phase voltage and current in the current wiring state; and further calculating the output power measurement result in the current wiring state.
S2: acquiring a series of state data under a historical metering state, wherein the state data comprises: a voltage vector angle type u and a current vector angle type i; and forming a training data set by using the state data as sample data.
S3: acquiring load information L, load power factor information, load category number L, a power integral ascending data set T and a normal load data set D which are provided on site;
s4: the method for determining the wrong wiring vector diagram corresponding to the current wiring state by adopting the independent forest and binary search comprises the following steps:
s41: initializing an abnormal detection tree, and randomly selecting gamma sample data from a training data set to be put into a root node of the abnormal detection tree.
S42: randomly appointing a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the space of the current node into 2 subspaces.
S43: and acquiring state data in the current metering state, inputting the state data into the anomaly detection tree, adding the state data into the left node of the current node if the state data is less than the cutting point p, and adding the state data into the right node of the current node if the state data is not less than the cutting point p.
S44: judging whether the sub-nodes meeting the conditions in the abnormal detection tree meet the condition that the data volume exceeds one and does not reach the limit height:
(1) traversing the abnormal detection trees by using the load information, and calculating the height of each tree and the height average value h;
(2) otherwise, the process returns to step S42.
S45: calculating the vector diagram type v by adopting the following formula:
v＝4u+i-4；
and calculating a combination type e of a vector diagram wiring mode according to the vector diagram type v:
e＝6v+α-6
in the above formula, α is a cyclic control parameter, and α is 1 under the initialization condition.
S46: under the initialization condition, let L be 1 and r be L, the value of the intermediate point m is calculated by the following formula:
m＝iht(l+r/2)；
in the above formula, l represents load information; r represents a variable used to calculate the value of m.
S47: recording the pulse frequency f in the current state, let Te，mF; te, m is a datum in the power integration ascending data set T, and the values of l and r are updated according to the following strategy until l > r is satisfied:
(1) when T ise，m< L, then: l ═ m + 1;
(2) if T ise，m> L, then: r is m-1.
S48: 1 is added to the loop control parameter α, α +1 is made, and then the processes of steps S45 to S47 are loop-executed until α > 6 is satisfied.
S49: and determining the wrong wiring vector diagram of the current wrong wiring state according to the output of the abnormal detection tree.
S5: determining a plurality of possible suspected wrong wiring modes according to the wrong wiring vector diagram obtained in the step; then according to a load power factor, a power integral ascending data set T and a normal load data set D which are provided on site; determining the wrong wiring mode as one of the suspected wrong wiring modes, namely the current wrong wiring type;
s6: and determining the incidence relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by using the incidence relation to obtain the correct metering result.
The method provided by the invention can be simultaneously applied to the electric energy meter adopting a three-phase three-wire connection mode and the electric energy meter adopting a three-phase four-wire connection mode.
Specifically, the following describes in detail the wrong wiring detection and error correction process in the wiring mode of two electric energy meters:
three-phase three-wire electric energy meter
For a three-phase three-wire electric energy meter, under the condition of not considering the phase relation of current and voltage, the voltage has 2 vector relations which are respectively: positive voltage phase sequence and negative voltage phase sequence. The current has 4 vector relations, which are respectively: positive current phase sequence, negative current phase sequence, normal current polarity and reverse one-phase current polarity. Therefore, different vector relationships of voltage and current can be combined into 2 × 4-8 vector diagrams as shown in the table.
Table: vector diagram type of three-phase three-wire electric energy meter
Determining a wiring vector diagram of a current wiring state by:
step 1: obtaining initial data, wherein a voltage vector angle type u belongs to {1,2}, a current vector angle type i belongs to {1,2,3,4}, load information L provided on site, load power factor information, a power integration ascending data set T of L load types, and a normal load data set D.
Step 2: and carrying out wiring detection, comprising the following steps:
(2.1) initializing an anomaly detection tree, and randomly selecting gamma point sample points from training data and placing the gamma point sample points into root nodes of the tree;
and (2.2) randomly assigning a dimension and randomly generating a cutting point p in the current node data. Generating a hyperplane by using the cutting point, and dividing the current node space into 2 subspaces;
(2.3) if the data is less than p, adding the data into the left node of the current node; otherwise, adding the data into the right node of the current node;
(2.4) when the condition that the child node exceeds one datum and does not reach the limited height is met, turning to (2.2) and (2.3);
(2.5) traversing the abnormal detection tree by the load information l, calculating the height of each tree and averaging h;
(2.6) if h is smaller than a preset threshold value theta or the load power factor information is abnormal, ending the algorithm and correcting the output power; otherwise, go to (2.7);
(2.7) calculating a vector diagram type v-4 u + i-4, and initializing a-1;
(2.8) calculating a vector diagram wiring mode combination type e-6 v + alpha-6, initializing L-1, and r-L;
(2.9) calculate the intermediate point m ═ int (l + r/2). If T ise,m<L, then L ═ m + 1; if T ise,m>L, then r ═ m-1; otherwise, ending the binary search and the double-layer circulation;
(2.10) when the condition l is less than or equal to r, turning to (2.9);
(2.11) updating the parameter α ═ α + 1;
(2.12) when the condition alpha is less than or equal to 6, turning to (2.7) to (2.11);
(2.13) recording pulse frequency f ═ Te,m；
(2.14) combining the load information l and Te,mA vector map of the current wiring state is determined and then a determination is made as to whether the power needs to be corrected.
After the wiring vector diagram is determined, the wiring mode possibly existing in each vector diagram type is only 6 at most. And the types of wiring modes can be further reduced according to the load power factor given by the site of the power utilization node. And determining the wrong wiring type of the current wiring state. In the three-phase three-wire electric energy meter, the wrong wiring vector diagrams are 8, the wiring types are 48 in total, but after the wrong wiring vector diagram of the current wiring state is determined, the range of the wrong wiring types is further reduced to 6, and at the moment, the wrong wiring types can be reached by manually checking the load information of the electric energy meter on site.
An error change relationship exists between the metering results of each wrong wiring mode and the metering results of the correct wiring modes, and an association relationship between the two modes can be fitted according to large-scale data statistics. In the embodiment, the correlation between the metering values and the correct values of different wrong wiring states is determined through expert experience values, and the correct correction value corresponding to the wrong metering value is determined through the correlation.
(II) three-phase four-wire electric energy meter
The three-phase four-wire electric energy meter is based on the three-phase three-wire electric energy meter, and a one-dimensional voltage value and a current value are added. Therefore, the wiring mode and the vector diagram of the electric energy meter of the wiring method are greatly increased. In the three-phase four-wire electric energy meter, the types of voltage wiring comprise 24, and the types of current phase sequence comprise 6; the current polarity category includes 8; 1152 wiring vector diagrams are combined. The specific wiring type combinations are shown in table 2 below:
table 1: vector diagram type of three-phase four-wire electric energy meter
Continuing to determine a wiring vector diagram for the current wiring state by:
step 1: the method comprises the steps of obtaining initial data, enabling a voltage vector angle type u to be in a range of {1,2,3}, enabling a current vector angle type i to be in a range of {1,2,3,4,5}, load information L provided on site, load power factor information, a power integration ascending data set T of L load types and a normal load data set D.
Step 2: and carrying out wiring detection, comprising the following steps:
(2.1) initializing an anomaly detection tree, and randomly selecting gamma point sample points from training data and placing the gamma point sample points into root nodes of the tree;
and (2.2) randomly assigning a dimension and randomly generating a cutting point p in the current node data. Generating a hyperplane by using the cutting point, and dividing the current node space into 2 subspaces;
(2.3) if the data is less than p, adding the data into the left node of the current node; otherwise, adding the data into the right node of the current node;
(2.4) when the condition that the child node exceeds one datum and does not reach the limited height is met, turning to (2.2) and (2.3);
(2.5) traversing the abnormal detection tree by the load information l, calculating the height of each tree and averaging h;
(2.6) if h is less than a preset threshold value theta or the load power factor information is abnormal, ending the algorithm and correcting the output power; otherwise, go to (2.7);
(2.7) calculating a vector diagram type v-4 u + i-4, and initializing a-1;
(2.8) calculating a vector diagram wiring mode combination type e-6 v + alpha-6, initializing L-1, and r-L;
(2.9) calculate the intermediate point m ═ int (l + r/2). If T ise，mIf < L, then L ═ m + 1; if T ise，mIf > L, then r is m-1; otherwise, ending the binary search and the double-layer circulation;
(2.10) when the condition l is less than or equal to r, turning to (2.9);
(2.11) updating the parameter α ═ α + 1;
(2.12) when the condition alpha is less than or equal to 6, turning to (2.7) to (2.11);
(2.13) recording pulse frequency f ═ Te，m；
(2.14) combining the load information l and Te，mA vector map of the current wiring state is determined and then a determination is made as to whether the power needs to be corrected.
Although the wiring types of the three-phase four-wire electric energy meter are greatly increased relative to the three-phase electric energy meter, after the miswiring vector diagram is determined, the possible miswiring types are still locked in no more than 6 types corresponding to the miswiring vector diagram. The specific miswiring type can be determined only by manually checking the load information of the power utilization node by a technician. After the wrong wiring type is determined, the correction process of the metering error of the electric energy meter is the same as the correction method in the three-phase electric energy meter, and the expert experience values of the incidence relation among results of different wiring modes are adopted for proportional adjustment, so that error correction is realized.
The embodiment applies the independent forest technology to detect the abnormity; the core idea of the independent forest anomaly detection is to divide all data points until the data points cannot be subdivided. Since the data of the outlier is not in the same form as the other data, it can be divided from the other data points with a few division steps. Based on this, outliers are distinguished by the depth of the data in the independent forest and setting a threshold. In addition, a binary search method is also applied to data searching. The independent forest technology and binary search are integrated, so that the data processing speed and accuracy are improved; the accuracy and the reliability of fault diagnosis are improved. And a foundation is laid for the power value corrected and output by the power correction module through the accurately positioned wrong wiring type.
The method fully applies the existing electric energy data, judges the wrong wiring vector diagram of the electric energy meter in the current wiring state through the information of voltage, current angle and the like, and can judge whether the wrong wiring fault exists in the electric energy meter; the wiring faults of the electric energy meter can be accurately classified, the range of the wrong wiring type of the electric energy meter is greatly reduced, and the actual wrong wiring type is locked through manual inspection of load information. And finally, correcting the electric quantity metering result with errors according to the incidence relation between the wrong wiring types and the correct wiring types. The method can realize the quick real-time detection of the wiring fault of the electric energy meter, and correct the wrong metering information through the algorithm before the wrong wiring fault is eliminated; the influence of wrong wiring faults on both parties of electricity consumption settlement is reduced.
Example 2
The present embodiment provides an electric energy meter error correction system based on a miswired vector diagram, which is configured to correct a metering result of an electric energy meter and output a correct metering result by using the electric energy meter error correction method based on a miswired vector diagram as in embodiment 1. As shown in fig. 2, the error correction system of the electric energy meter includes: the system comprises an electric quantity information acquisition module, a wiring detection module, a power correction module, a manual verification module and an electric energy output module.
The electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter.
And the wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information.
The power correction module is used for calculating a metering result P of the output power in the electric energy meter according to the acquired voltage vector information and current vector information0(ii) a Then 6 suspected false wiring modes are determined according to the false wiring vector diagram; finally, according to the incidence relation beta between the metering result and the normal result of each wrong wiring modeiCalculating output power under 6 suspected wrong wiring modesCorrection result Pi：Pi＝βi·P0I is 1,2,3,4,5, 6; wherein, betaiIs a series of expert experience values.
The manual checking module is a manual interaction module, and a worker manually checks the load condition of the current power utilization node, and inquires a corresponding load power factor, a power integral ascending data set T and a normal load data set D; and then, manually determining which wrong wiring mode the current wiring mode of the electric energy meter belongs to in the wrong wiring vector diagram output by the wiring detection module according to the load condition, and inputting the confirmation result of the wrong wiring mode into the manual checking module.
The electric energy output module comprises a power integration unit which is used for calculating an electric energy result Ei metered by the electric energy meter in an electricity utilization period according to a correction result Pi output by the function correction module; and the electric energy meter output module inquires the wrong wiring mode determined in the manual checking module and takes the electric energy metering result corresponding to the wrong wiring mode as the output of the electric energy output module.
As shown in fig. 3, before the electric energy output module obtains the confirmation result of the miswiring manner sent by the manual verification module, the electric energy output module simultaneously outputs six correction results corresponding to the current miswiring vector diagram. And when the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
In this embodiment, the electric energy meter error correction system based on the miswiring vector diagram may be applied in two installation manners of local deployment and remote deployment, and the two system deployment schemes are respectively as follows:
(1) local deployment
As shown in fig. 4, each functional module of the error correction system of the electric energy meter is installed on the electric energy meter. The electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and finishing the correction process of the metering result locally on the electric energy meter. The electric energy meter error correction system also comprises a communication module, and the communication module is used for metering and sending the corrected electric energy determined by the electric energy output module to a settlement center of the electric power management system.
(2) Remote deployment
As shown in fig. 5, the error correction system of the electric energy meter further includes a communication module, and the communication module and the electric quantity information collection module are located on the electric energy meter. The wiring detection module, the power correction module, the manual verification module and the electric energy output module are located in a settlement center of a remote electric power management system. The communication module sends the data acquired locally by the electric quantity information acquisition module to a remote end, and the process of correcting the metering result of the electric energy meter is completed at the remote end.
Example 3
The embodiment provides a wrong wiring vector diagram-based electric energy meter error correction device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the electric energy meter error correction method based on the wrong wiring vector diagram.
The computer device may be a smart phone, a tablet computer, a notebook computer, a desktop computer, a rack server, a blade server, a tower server or a cabinet server (including an independent server or a server cluster composed of a plurality of servers) capable of executing programs, and the like. The computer device of the embodiment at least includes but is not limited to: a memory, a processor communicatively coupled to each other via a system bus.
In this embodiment, the memory (i.e., the readable storage medium) includes a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard disk or a memory of the computer device. In other embodiments, the memory may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), etc. provided on the computer device. Of course, the memory may also include both internal and external storage devices for the computer device. In this embodiment, the memory is generally used for storing an operating system, various types of application software, and the like installed in the computer device. In addition, the memory may also be used to temporarily store various types of data that have been output or are to be output.
The processor may be a Central Processing Unit (CPU), controller, microcontroller, microprocessor, or other data Processing chip in some embodiments. The processor is typically used to control the overall operation of the computer device. In this embodiment, the processor is configured to run a program code stored in the memory or process data to implement a processing procedure of the error correction method for the electric energy meter based on the miswiring vector diagram in embodiment 1, so as to automatically detect a miswiring type of the electric energy meter in a miswiring state and automatically correct an error of a metering result of the electric energy meter.
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 (10)
1. An electric energy meter error correction method based on a miswiring vector diagram is characterized by comprising the following steps:
s1: acquiring vector information of each phase voltage and current in the current wiring state; further calculating the measurement result of the output power in the current wiring state;
s2: acquiring a series of state data under a historical metering state, wherein the state data comprises: a voltage vector angle type u and a current vector angle type i; forming a training data set by using the state data as sample data;
s3: acquiring load information L, load power factor information, load category number L, a power integral ascending data set T and a normal load data set D which are provided on site;
s4: the method for determining the wrong wiring vector diagram corresponding to the current wiring state by adopting the independent forest and binary search comprises the following steps:
s41: initializing an abnormal detection tree, and then randomly selecting gamma sample data from the training data set to be placed in a root node of the abnormal detection tree;
s42: randomly appointing a dimension, randomly generating a cutting point p in the data of the current node, generating a hyperplane by using the cutting point p, and dividing the space of the current node into 2 subspaces;
s43: acquiring state data in the current metering state, inputting the state data into the abnormal detection tree, adding the state data into a left node of the current node if the state data is smaller than a cutting point p, and adding the state data into a right node of the current node if the state data is not smaller than the cutting point p;
s44: judging whether the sub-nodes meeting the conditions in the abnormal detection tree meet the condition that the data volume exceeds one and does not reach the limit height:
(1) traversing the abnormal detection trees by using the load information, and calculating the height of each tree and the height average value h;
(2) otherwise, returning to execute the step S42;
s45: calculating the vector diagram type v by adopting the following formula:
v＝4u+i-4；
and calculating a combination type e of a vector diagram wiring mode according to the vector diagram type v:
e＝6v+α-6
in the above formula, α is a cyclic control parameter, and α is 1 under an initialization condition;
s46: under the initialization condition, let L be 1 and r be L, the value of the intermediate point m is calculated by the following formula:
m＝int(l+r/2)；
in the above formula, l represents load information; r represents a variable for calculating the value of m;
s47: recording the pulse frequency f in the current state, let Te，mF; te, m is one data in the power integration ascending data set T, and the values of l and r are calculated according to the following strategyRow update until l > r is satisfied:
(1) when T ise，m< L, then: l ═ m + 1;
(2) if T ise，m> L, then: r-m-1;
s48: adding 1 to the loop control parameter alpha, enabling the alpha to be alpha +1, and then circularly executing the processes of the steps S45-S47 until alpha is larger than 6;
s49: determining a wrong wiring vector diagram of the current wrong wiring state according to the output of the abnormal detection tree;
s5: determining a plurality of possible suspected wrong wiring modes according to the wrong wiring vector diagram obtained in the step; then according to a load power factor, a power integral ascending data set T and a normal load data set D which are provided on site; determining the wrong wiring mode as one of the suspected wrong wiring modes, namely the current wrong wiring type;
s6: and determining the incidence relation between the current wrong wiring type state and the output power of the correct wiring state according to the expert experience value, and correcting the power metering result output by the electric energy meter by using the incidence relation to obtain the correct metering result.
2. The method for error correction of an electric energy meter based on a miswired vector diagram according to claim 1, characterized in that: the method can be simultaneously applied to the electric energy meter adopting a three-phase three-wire connection mode and the electric energy meter adopting a three-phase four-wire connection mode.
3. The method of claim 2 for error correction of a power meter based on a miswired vector diagram, wherein: for a three-phase three-wire electric energy meter, the voltage has 2 vector relations, which are respectively: a positive voltage phase sequence and a negative voltage phase sequence; the current has 4 vector relations, which are respectively: the current positive phase sequence, the current negative phase sequence, the current polarity are normal, and the current of one phase has the reverse polarity; the wiring vector diagrams combined by the voltage and the electric quantity are 8 in total.
4. The method of claim 3 for error correction of a power meter based on a miswired vector diagram, wherein: for a three-phase four-wire electric energy meter, the voltage wiring types comprise 24, and the current phase sequence types comprise 6; the current polarity category includes 8; 1152 wiring vector diagrams are combined.
5. The method of claim 4 for error correction of a power meter based on a miswired vector diagram, wherein: for any wiring vector diagram; the corresponding wiring types do not exceed 6 types, and the wrong wiring type corresponding to the wiring vector diagram can be judged manually through the field load condition.
6. The utility model provides an electric energy meter error correction system based on wrong wiring vector diagram which characterized in that: the electric energy meter error correction system is used for correcting the metering result of the electric energy meter by adopting the electric energy meter error correction method based on the miswiring vector diagram as claimed in any one of claims 1 to 5, and outputting the correct metering result; the electric energy meter error correction system comprises:
the electric quantity information acquisition module is used for acquiring voltage vector information and current vector information of a detection node corresponding to the current electric energy meter;
the wiring detection module is used for determining a wrong wiring vector diagram corresponding to the current wiring state by adopting an independent forest and binary search method according to the acquired voltage vector information and current vector information;
a power correction module for calculating the output power measurement result P of the electric energy meter according to the obtained voltage vector information and current vector information0(ii) a Then 6 suspected false wiring modes are determined according to the false wiring vector diagram; finally, according to the incidence relation beta between the metering result and the normal result of each wrong wiring modeiRespectively calculating the output power correction results P under the conditions of 6 suspected wrong wiring modesi：Pi＝βi·P0I is 1,2,3,4,5, 6; wherein, betaiIs a series of expert experience values;
the system comprises a manual checking module, a normal load data set D and a load power factor and power integral ascending data set T, wherein the manual checking module is a manual interaction module, and a worker manually checks the load condition of a current power utilization node and inquires the corresponding load power factor, power integral ascending data set T and normal load data set D; then, manually determining which wrong wiring mode the current wiring mode of the electric energy meter belongs to in the wrong wiring vector diagram output by the wiring detection module according to the load condition, and sending the confirmation result of the wrong wiring mode to the manual checking module;
the electric energy output module comprises a power integration unit, and the power integration unit is used for calculating an electric energy result Ei metered by the electric energy meter in an electricity utilization period according to a correction result Pi output by the function correction module; and the electric energy meter output module inquires the wrong wiring mode confirmed in the manual checking module and takes the electric energy metering result corresponding to the wrong wiring mode as the output of the electric energy output module.
7. The miswired vector diagram-based power meter error correction system of claim 6, wherein: the electric energy output module simultaneously outputs six correction results corresponding to the current wrong wiring vector diagram before acquiring the confirmation result of the wrong wiring mode sent by the manual checking module; and when the confirmation result of the wrong wiring mode is obtained, only the finally determined correct correction result is output, or six results are still output, and the correct correction result is specially marked.
8. The miswired vector diagram-based power meter error correction system of claim 6, wherein: each functional module of the electric energy meter error correction system is arranged on the electric energy meter; the electric quantity information acquisition module directly acquires measurement data of the electric energy meter; and finishing the correction process of the metering result locally on the electric energy meter; the electric energy meter error correction system also comprises a communication module, and the communication module sends the corrected electric energy measurement determined by the electric energy output module to a settlement center of the electric power management system.
9. The miswired vector diagram-based power meter error correction system of claim 6, wherein: the electric energy meter error correction system also comprises a communication module, and the communication module and the electric quantity information acquisition module are positioned on the electric energy meter; the wiring detection module, the power correction module, the manual verification module and the electric energy output module are positioned in a settlement center of a remote electric power management system; and the communication module transmits the data acquired locally by the electric quantity information acquisition module to a remote end, and completes the correction process of the metering result of the electric energy meter at the remote end.
10. The utility model provides an electric energy meter error correction device based on wrong wiring vector diagram which characterized in that: the power meter error correction apparatus comprises a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the steps of the power meter error correction method based on the miswired vector diagram according to any one of claims 1 to 5.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102253359A (en) * | 2011-04-28 | 2011-11-23 | 深圳市锐能微科技有限公司 | Method and system for correcting false wiring of three-phase four-wire watt-hour meter and watt-hour meter |
| CN102692556A (en) * | 2011-03-25 | 2012-09-26 | 深圳市锐能微科技有限公司 | Three-phase electric quantity calculation method and apparatus thereof |
| CN111983521A (en) * | 2020-06-05 | 2020-11-24 | 安徽南瑞中天电力电子有限公司 | Electric energy meter with functions of automatic identification of wrong wiring and correct metering and method thereof |
| CN112444670A (en) * | 2020-12-15 | 2021-03-05 | 深圳市锐能微科技有限公司 | Electric energy metering method and electric energy metering device applied to three-phase three-wire electric energy meter |
| CN112557749A (en) * | 2020-12-15 | 2021-03-26 | 深圳市锐能微科技有限公司 | Electric energy metering method and electric energy metering device of three-phase four-wire electric energy meter |
-
2021
- 2021-12-21 CN CN202111573977.9A patent/CN114265000B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102692556A (en) * | 2011-03-25 | 2012-09-26 | 深圳市锐能微科技有限公司 | Three-phase electric quantity calculation method and apparatus thereof |
| CN102253359A (en) * | 2011-04-28 | 2011-11-23 | 深圳市锐能微科技有限公司 | Method and system for correcting false wiring of three-phase four-wire watt-hour meter and watt-hour meter |
| CN111983521A (en) * | 2020-06-05 | 2020-11-24 | 安徽南瑞中天电力电子有限公司 | Electric energy meter with functions of automatic identification of wrong wiring and correct metering and method thereof |
| CN112444670A (en) * | 2020-12-15 | 2021-03-05 | 深圳市锐能微科技有限公司 | Electric energy metering method and electric energy metering device applied to three-phase three-wire electric energy meter |
| CN112557749A (en) * | 2020-12-15 | 2021-03-26 | 深圳市锐能微科技有限公司 | Electric energy metering method and electric energy metering device of three-phase four-wire electric energy meter |
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