CN114090961A - Method and system for checking topological structure of low-voltage distribution network - Google Patents

Method and system for checking topological structure of low-voltage distribution network Download PDF

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CN114090961A
CN114090961A CN202111425774.5A CN202111425774A CN114090961A CN 114090961 A CN114090961 A CN 114090961A CN 202111425774 A CN202111425774 A CN 202111425774A CN 114090961 A CN114090961 A CN 114090961A
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席荣军
肖勇
王永纯
赵云
黎海生
徐迪
李伟林
陆煜锌
许明柱
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Shanwei Power Supply Bureau of Guangdong Power Grid Co Ltd
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Abstract

The invention discloses a method and a system for verifying a topological structure of a low-voltage distribution network.

Description

Method and system for checking topological structure of low-voltage distribution network
Technical Field
The invention relates to the technical field of low-voltage distribution network topological structure verification, in particular to a method and a system for verifying a low-voltage distribution network topological structure.
Background
The problems that the low-voltage user site has complex wiring and large data volume, changes in operation modes due to unbalanced loads, changes of the user variable relations, loss and poor quality of original data, lack of effective means for checking manually input data and the like can cause errors of low-voltage distribution network topology data in a computer system. The topological relation of the low-voltage distribution network is not clear, the data error of station area and split phase line loss is large, the arrangement of new loads is unreasonable, the load balance is influenced, the remote charge control and remote recharging success rate are reduced, and the development and implementation of basic services are influenced. Therefore, the research on the topological structure verification technology of the low-voltage distribution network has great necessity.
In a patent with publication number CN106250927B and the patent name of a power distribution network topological structure checking method based on a k-nearest neighbor classification algorithm, the adopted power distribution network topological structure checking method is that (1) other users in a station area where a checking user is located and all users in a neighboring station area are obtained to form a checking user training sample set; (2) extracting voltage curve data of the latest end time of all the verification users and the training sample set of the verification users; (3) calculating the similarity of voltage curves between a verification user and each user of a training sample set of the verification user; (4) and selecting k nearest neighbors of the verification user based on the similarity, calculating the correct distribution area category of the verification user, and further judging whether the distribution network topological structure of the verification user is correct or not. Although the method can realize the verification of the household variable relationship of the topological structure of the low-voltage distribution network, the topological structure of the feeder line and the user, namely the household line relationship, cannot be verified.
Disclosure of Invention
The embodiment of the invention provides a method and a system for checking a topological structure of a low-voltage distribution network, which are used for solving the technical problem that the traditional method for checking the topological structure of the distribution network cannot check the topological structures of a feeder line and a user.
In view of this, the first aspect of the present invention provides a method for checking a topology structure of a low voltage distribution network, where the method includes:
acquiring a topological structure of a low-voltage distribution network and user load data;
preprocessing user load data;
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data;
and judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result.
Optionally, calculating node voltage correlation coefficients of different loads under the same feeder line in the low-voltage distribution network topology structure according to the preprocessed user load data, including:
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data based on a Pearson correlation coefficient formula, wherein the Pearson correlation coefficient formula is as follows:
Figure BDA0003378358210000021
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure BDA0003378358210000022
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
Optionally, the preprocessing the user load data includes:
and processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method.
Optionally, the determining a relationship between the feeder line and the subscriber according to the node voltage correlation coefficient to obtain a subscriber line verification result includes:
and if the node voltage correlation coefficient corresponding to the load connected with the feeder line is smaller than the threshold, the subscriber line verification result is that the subscriber line relationship is wrong, otherwise, the subscriber line verification result is that the subscriber line relationship is correct.
Optionally, the threshold is 0.9.
Optionally, the method further includes determining a relationship between the feeder line and the subscriber according to the node voltage correlation coefficient to obtain a subscriber line verification result, and then:
and verifying whether the front and back positions of the load in each feeder line are correct or not according to the value of the node voltage corresponding to each load.
Optionally, the method further comprises: verifying the household variation relation of the topological structure of the low-voltage distribution network;
the method for verifying the household variable relation of the low-voltage distribution network topological structure comprises the following steps:
acquiring voltage sequences of intelligent electric meters of all users in a target area and a target area general table;
preprocessing a voltage sequence;
calculating Pearson correlation coefficients among users according to the voltage sequence to form a Pearson correlation coefficient matrix;
and judging whether the user belongs to the target station area or not according to the Pearson correlation coefficient matrix.
A second aspect of the present invention provides a system for checking a topology structure of a low-voltage distribution network, the system comprising:
the data acquisition module is used for acquiring a topological structure of the low-voltage distribution network and user load data;
the preprocessing module is used for preprocessing the user load data;
the correlation coefficient calculation module is used for calculating node voltage correlation coefficients of different loads under the same feeder line in the low-voltage distribution network topological structure according to the preprocessed user load data;
and the judging module is used for judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line checking result.
Optionally, the correlation coefficient calculating module is specifically configured to:
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data based on a Pearson correlation coefficient formula, wherein the Pearson correlation coefficient formula is as follows:
Figure BDA0003378358210000031
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure BDA0003378358210000032
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
Optionally, the preprocessing module is specifically configured to:
and processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method.
According to the technical scheme, the embodiment of the invention has the following advantages:
according to the method for verifying the topological structure of the low-voltage distribution network, the node voltage correlation coefficient of different loads under the same feeder line in the topological structure of the low-voltage distribution network is calculated according to the user load data, the relation between the feeder line and the user is judged according to the node voltage correlation coefficient, the relation verification of the feeder line and the user in the topological structure of the low-voltage distribution network is realized, and the technical problem that the topological structure of the feeder line and the user cannot be verified by the existing method for verifying the topological structure of the distribution network is solved.
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Fig. 1 is a schematic flow chart of a method for checking a topology structure of a low-voltage distribution network according to an embodiment of the present invention;
FIG. 2 is a voltage sequence diagram of a certain region provided in the embodiment of the present invention;
fig. 3 is a topology structure diagram of a feeder line in a certain area provided in the embodiment of the present invention;
FIG. 4 is a Pearson correlation coefficient plot of the node voltages of the customer loads on the feeder lines of FIG. 3;
fig. 5 is a schematic structural diagram of a low-voltage distribution network topology structure verification system provided in an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
For convenience of understanding, referring to fig. 1, fig. 1 is a method for verifying a topology structure of a low voltage distribution network according to an embodiment of the present invention, as shown in fig. 1, the method for verifying a topology structure of a low voltage distribution network includes:
step 101, acquiring a topological structure of a low-voltage distribution network and user load data.
And obtaining the feeder line of the distribution area and corresponding branch nodes thereof, wherein each branch node has a corresponding user load. The user load data refers to the voltage curve data of the user load node, as shown in fig. 2. For example, a certain area is selected, the topological structure of the area is obtained, and assuming that the area has 3 feeders and corresponding branch nodes, each branch node has a corresponding load, the feeders supplying power to the loads are all on the low-voltage side of the transformer of the area, and the voltage sequence of each load user within 24 hours is obtained.
And 102, preprocessing the user load data.
Power consumption information acquisition system for power grid companyThe voltage sequence data therein generally has a relatively large amount of noise, and therefore, cannot be directly used, and needs to be preprocessed. In the invention, a newton interpolation method is used for processing missing data of user load data, and a mean value substitution method is used for processing error data of the user load data. As shown in FIG. 3, the 3 feeders to the station are numbered L1, L2 and L3, respectively, wherein the L1 feeder has a load M1、M2、M4、M12And M13With load M on feed line L26、M7、M8、M9And M11With load M on feed line L33、M5、M10、M14And M15. The node voltage values corresponding to the respective loads at a certain time are shown in table 1. In addition, to simplify the data, per unit value processing with 220V as a reference may be performed on the user load data.
TABLE 1
Figure BDA0003378358210000051
And 103, calculating node voltage correlation coefficients of different loads under the same feeder line in the low-voltage distribution network topological structure according to the preprocessed user load data.
According to a preset correlation coefficient formula, calculating node voltage correlation coefficients of different loads under the same feeder line in a topological structure of the voltage distribution network, wherein a Pearson correlation coefficient formula is used for calculating the node voltage correlation coefficients, and the Pearson correlation coefficient formula is as follows:
Figure BDA0003378358210000052
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure BDA0003378358210000053
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAt a certain moment of timeAnd the voltage sampling value T is the sampling frequency of the total sampling period.
The results of the node voltage correlation coefficient calculation are shown in fig. 4.
And step 104, judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result.
And if the node voltage correlation coefficient corresponding to the load connected with the feeder line is smaller than the threshold, the subscriber line verification result is that the subscriber line relationship is wrong, otherwise, the subscriber line verification result is that the subscriber line relationship is correct. For example, for the load to which feeder L1 is connected, load M1、M2、M4、M12、M13The voltage correlation coefficients of (1) are all above 0.9, show strong correlation and can show that the load M is1、M2、M4、M12、M13Belongs to the feeder line L1, and the corresponding relation of the feeder line L1 and the feeder line L is not wrong. For the load to which feeder L2 is connected, load M9And load M6、M7、M8、M11The voltage correlation coefficient of (2) is below 0.9, and the correlation is not very strong; and the load M on the load and feeder line L11、M2、M4、M12、M13The voltage correlation coefficient of (2) is 0.9 or more. It can be said that the topological relationship of the load is in error, and it should belong to the feeder L1 instead of the feeder L2. For the load to which feeder L3 is connected, load M5、M10And load M3、M14、M15All are below 0.9 and are related to the load M on the feed line L26、M7、M8、M11The voltage correlation coefficient of (2) is about 0.9, showing a strong correlation. Then the load M can be accounted for5And load M10The topology of (a) is in error and should belong to feeder L2 instead of feeder L3.
According to the verification method for the topological structure of the low-voltage distribution network, provided by the embodiment of the invention, the node voltage correlation coefficient of different loads under the same feeder line in the topological structure of the low-voltage distribution network is calculated according to the user load data, and the relation between the feeder line and a user is judged according to the node voltage correlation coefficient, so that the verification of the relation between the feeder line and the user in the topological structure of the low-voltage distribution network is realized, and the technical problem that the topological structure between the feeder line and the user cannot be verified by the existing verification method for the topological structure of the distribution network is solved.
In one embodiment, step 104 is followed by the step of: and verifying whether the front and back positions of the load in each feeder line are correct or not according to the value of the node voltage corresponding to each load.
And verifying whether the front and back positions of the load in each feeder line are correct or not according to the value of the node voltage corresponding to each load. For the feed line L1
Figure BDA0003378358210000061
Can find the load M9And load M13Are equal, so that it can judge that the load M is9And M13In the same branch node PC13(ii) a And the load M12Is greater than the load M13But not equal to, the load M12Should be under load M13Before (c) is performed.
For the feed line L2
Figure BDA0003378358210000062
Can find the load M5Between the node voltage of the load M7And load M8In between, so that the load M can be judged5With branch nodes between branch PCs7And PC8To (c) to (d); in addition, the load M10Is equal to the load M11So that the load M can be determined10And load M11In the same branch.
For the feed line L3
Figure BDA0003378358210000071
In line with the load position on the feeder line L3, the load position on L3 need not be corrected.
Therefore, the method and the device can judge the positions before and after the user load on the feeder line, and effectively check the correctness of the topological structure data of the power distribution network in the computer information system of the power grid.
In an embodiment, the present invention further provides a method for verifying a user variable relationship of a low voltage distribution network topology, including:
acquiring voltage sequences of intelligent electric meters of all users in a target area and a target area general table;
preprocessing a voltage sequence;
calculating Pearson correlation coefficients among users according to the voltage sequence to form a Pearson correlation coefficient matrix;
and judging whether the user belongs to the target station area or not according to the Pearson correlation coefficient matrix.
And selecting a target transformer area, and extracting voltage sequence data of all the user intelligent electric meters in the target transformer area from the power utilization information acquisition system. The sampling period of the voltage values should be sufficiently dense, typically 15 minutes for one sample point is recommended, 96 samples per day, typically more than 2 weeks for the samples. And processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method. In addition, to simplify the data, per unit value processing with 220V as a reference may be performed on the user load data. Inputting voltage sequences of i and j users, and calculating correlation coefficient by using Pearson correlation coefficient calculation formula
Figure BDA0003378358210000072
The calculation formula is as follows:
Figure BDA0003378358210000073
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure BDA0003378358210000074
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
Figure BDA0003378358210000075
The larger the absolute value of (A), the variable X is indicatedtAnd variable YtThe higher the correlation of (c);
Figure BDA0003378358210000076
the smaller the absolute value of (A), the variable X is indicatedtAnd variable YtThe lower the correlation of (c).
Setting the initial value of the parameter Z as 0, if the correlation coefficient of the user i and the user j is greater than or equal to 0.8, adding 1 to the value of Z, and obtaining the final Z after the user i is compared with all other users.
And completing the calculation of coefficients among all users to form a Pearson correlation coefficient matrix.
In the verification of the user-to-user relationship data, whether the user belongs to the station area is judged, which means that: and judging whether the users belong to the same station area or not according to the comparison between Z and m multiplied by n (wherein m is a fraction threshold value, when m is 0.2 obtained through a large number of experiments, the algorithm effect is best, and n is the number of the user tables). If Z is larger than or equal to mxn, the user i belongs to the zone; otherwise, user i does not belong to this zone.
For easy understanding, please refer to fig. 5, an embodiment of a system for verifying a topology structure of a low voltage distribution network according to the present invention includes:
the data acquisition module 201 is used for acquiring a topological structure of the low-voltage distribution network and user load data;
a preprocessing module 202, configured to preprocess user load data;
the correlation coefficient calculation module 203 is used for calculating node voltage correlation coefficients of different loads under the same feeder line in the low-voltage distribution network topological structure according to the preprocessed user load data;
and the judging module 204 is configured to judge a relationship between the feeder line and the user according to the node voltage correlation coefficient, so as to obtain a user line verification result.
The correlation coefficient calculation module 203 is specifically configured to:
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data based on a Pearson correlation coefficient formula, wherein the Pearson correlation coefficient formula is as follows:
Figure BDA0003378358210000081
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure BDA0003378358210000082
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
The preprocessing module 202 is specifically configured to:
and processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method.
Judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result, comprising the following steps:
and if the node voltage correlation coefficient corresponding to the load connected with the feeder line is smaller than the threshold, the subscriber line verification result is that the subscriber line relationship is wrong, otherwise, the subscriber line verification result is that the subscriber line relationship is correct.
The threshold value is 0.9.
Judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result, and then:
and verifying whether the front and back positions of the load in each feeder line are correct or not according to the value of the node voltage corresponding to each load.
The system further comprises a user variable relation checking module used for: verifying the household variation relation of the topological structure of the low-voltage distribution network;
the method for verifying the household variable relation of the low-voltage distribution network topological structure comprises the following steps:
acquiring voltage sequences of intelligent electric meters of all users in a target area and a target area general table;
preprocessing a voltage sequence;
calculating Pearson correlation coefficients among users according to the voltage sequence to form a Pearson correlation coefficient matrix;
and judging whether the user belongs to the target station area or not according to the Pearson correlation coefficient matrix.
The low-voltage distribution network topology structure verification system provided by the invention is used for executing the method in the embodiment of the low-voltage distribution network topology structure verification method, and can obtain the same technical effect as the embodiment of the low-voltage distribution network topology structure verification method, and the principle of the low-voltage distribution network topology structure verification system is not repeated.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; 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 (10)

1. A method for checking a topological structure of a low-voltage distribution network is characterized by comprising the following steps:
acquiring a topological structure of a low-voltage distribution network and user load data;
preprocessing user load data;
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data;
and judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result.
2. The method for verifying the topological structure of the low-voltage distribution network according to claim 1, wherein the step of calculating the node voltage correlation coefficients of different loads under the same feeder line in the topological structure of the low-voltage distribution network according to the preprocessed user load data comprises the following steps:
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data based on a Pearson correlation coefficient formula, wherein the Pearson correlation coefficient formula is as follows:
Figure FDA0003378358200000011
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure FDA0003378358200000012
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
3. The method for verifying the topological structure of the low-voltage distribution network according to claim 1, wherein the step of preprocessing the user load data comprises the following steps:
and processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method.
4. The method for verifying the topological structure of the low-voltage distribution network according to claim 1, wherein the step of judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line verification result comprises the following steps:
and if the node voltage correlation coefficient corresponding to the load connected with the feeder line is smaller than the threshold, the subscriber line verification result is that the subscriber line relationship is wrong, otherwise, the subscriber line verification result is that the subscriber line relationship is correct.
5. The method for verifying the topology of the low-voltage distribution network according to claim 4, wherein the threshold is 0.9.
6. The method for verifying the topological structure of the low-voltage distribution network according to claim 4, wherein the relationship between the feeder line and the user is judged according to the node voltage correlation coefficient to obtain a user line verification result, and then the method further comprises the following steps:
and verifying whether the front and back positions of the load in each feeder line are correct or not according to the value of the node voltage corresponding to each load.
7. The method for verifying the topology structure of the low-voltage distribution network according to any one of claims 1 to 6, further comprising: verifying the household variation relation of the topological structure of the low-voltage distribution network;
the method for verifying the household variable relation of the low-voltage distribution network topological structure comprises the following steps:
acquiring voltage sequences of intelligent electric meters of all users in a target area and a target area general table;
preprocessing a voltage sequence;
calculating Pearson correlation coefficients among users according to the voltage sequence to form a Pearson correlation coefficient matrix;
and judging whether the user belongs to the target station area or not according to the Pearson correlation coefficient matrix.
8. A low voltage distribution network topological structure verification system is characterized by comprising:
the data acquisition module is used for acquiring a topological structure of the low-voltage distribution network and user load data;
the preprocessing module is used for preprocessing the user load data;
the correlation coefficient calculation module is used for calculating node voltage correlation coefficients of different loads under the same feeder line in the low-voltage distribution network topological structure according to the preprocessed user load data;
and the judging module is used for judging the relationship between the feeder line and the user according to the node voltage correlation coefficient to obtain a user line checking result.
9. The system for verifying the topological structure of the low-voltage distribution network according to claim 8, wherein the correlation coefficient calculation module is specifically configured to:
calculating node voltage correlation coefficients of different loads under the same feeder line in a low-voltage distribution network topological structure according to the preprocessed user load data based on a Pearson correlation coefficient formula, wherein the Pearson correlation coefficient formula is as follows:
Figure FDA0003378358200000021
wherein M isiAnd MjThe ith load node and the jth load node respectively,
Figure FDA0003378358200000022
is between 0 and 1, XtAnd YtAre respectively MiDot sum MjAnd T is the sampling times of the total sampling period.
10. The system for verifying the topology structure of the low-voltage distribution network according to claim 8, wherein the preprocessing module is specifically configured to:
and processing missing data of the user load data by using a newton interpolation method, and processing error data of the user load data by using a mean value substitution method.
CN202111425774.5A 2021-11-26 2021-11-26 Method and system for checking topological structure of low-voltage distribution network Pending CN114090961A (en)

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* Cited by examiner, † Cited by third party
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CN116089849A (en) * 2023-04-10 2023-05-09 国网江西省电力有限公司电力科学研究院 Automatic power distribution network topology identification method and system based on big data
CN118033249A (en) * 2024-04-11 2024-05-14 国网江苏省电力有限公司常州供电分公司 Method and device for identifying phase of station area

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116089849A (en) * 2023-04-10 2023-05-09 国网江西省电力有限公司电力科学研究院 Automatic power distribution network topology identification method and system based on big data
CN116089849B (en) * 2023-04-10 2023-07-04 国网江西省电力有限公司电力科学研究院 Automatic power distribution network topology identification method and system based on big data
CN118033249A (en) * 2024-04-11 2024-05-14 国网江苏省电力有限公司常州供电分公司 Method and device for identifying phase of station area

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