CN113807982A - Transformer area household variable relation identification method and device - Google Patents

Transformer area household variable relation identification method and device Download PDF

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CN113807982A
CN113807982A CN202111107613.1A CN202111107613A CN113807982A CN 113807982 A CN113807982 A CN 113807982A CN 202111107613 A CN202111107613 A CN 202111107613A CN 113807982 A CN113807982 A CN 113807982A
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张殷
武利会
李新
王俊波
范心明
李国伟
唐琪
蒋维
罗容波
董镝
宋安琪
黄静
欧晓妹
黎小龙
刘崧
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Guangdong Power Grid Co Ltd
Foshan Power Supply Bureau of Guangdong Power Grid Corp
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Foshan Power Supply Bureau of Guangdong Power Grid Corp
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Abstract

The application provides a method and equipment for identifying station area subscriber variation relationship, wherein the method comprises the following steps: s1, calculating the similarity of the substation voltage and the geographical distance of the substation of the user and the station account, and confirming the relationship of the substation according to the similarity of the substation voltage and the geographical distance of the substation; s2, for the user who does not confirm the user change relationship in the step S1, calculating the user voltage similarity of the user and the identified user under the station change of the account attribution of the user, and confirming the user change relationship according to the user voltage similarity and the user change geographic distance; s3, for the user who does not confirm the user change relationship in the step S2, calculating the user change geographical distance between the user and each station change, and confirming the target station change of the user according to the user change geographical distance; and S4, calculating the average voltage similarity of the user and the recognized user under the target station change, and finishing the identification of the user change relationship according to the average voltage similarity of the user.

Description

Transformer area household variable relation identification method and device
Technical Field
The invention belongs to the technical field of power system household transformation relation identification, and particularly relates to a transformer area household transformation relation identification method and equipment.
Background
In order to accurately calculate the line loss, the power company needs to determine the home station change condition of each user in advance. However, most of the subscriber station change attribution information recorded in the current marketing system is manually input, and due to information loss and untimely updating, files are inconsistent with the site, accuracy of line loss calculation results is affected, and effective development of line loss treatment is hindered.
The traditional method for checking the user variable relationship is mostly a field checking method, and a team member needs to check the station area affiliation of a user on the site of the station area, so that the method is difficult to develop on a large scale. In addition, a method for checking the user variation relationship based on the station area identifier is also adopted, the topology checking is carried out by the aid of carrier communication characteristics, the dependence on equipment is high, equipment investment is required, and the identifier is easily interfered by noise.
In order to avoid the above problems, currently, academic circles and industrial circles propose a method for identifying a station-to-station relationship based on data analysis, and such a method uses measurement data in a measurement automation system to analyze station-to-station affiliation of a user, thereby achieving a certain effect. In essence, most of the data used by these data analysis methods are only internal data of the power system, and do not relate to external data, and the user electricity meter and the home station have not only an internal correlation characteristic in terms of electrical quantity, but also an adjacent characteristic in terms of space, however, a method for identifying the relationship between the user electricity meter and the home station by using external data is not available at present.
Disclosure of Invention
Based on the above, the invention provides a method and a device for identifying the station area subscriber relationship, which consider the voltage similarity and the geographical distance between the subscriber and the station transformer, fill the blank of identifying the station area subscriber relationship by using external data in the prior art, and overcome the defects of the prior art.
The invention discloses a transformer area subscriber relationship identification method, which comprises the following steps:
s1, calculating the similarity of a user transformation voltage and the geographical distance of the user transformation, and confirming the user transformation relation according to the similarity of the user transformation voltage and the geographical distance of the user transformation;
s2, for the users of which the user variation relationship is not confirmed in the step S1, calculating the user voltage similarity of the users and each identified user under the station change of the account attribution of the users, and confirming the user variation relationship according to the user voltage similarity and the user variation geographic distance;
s3, for the user who does not confirm the user change relationship in the step S2, calculating the user change geographical distance between the user and each station change, and confirming the target station change of the user according to the user change geographical distance;
and S4, calculating the average voltage similarity of the user and the recognized user under the target station change, and finishing the identification of the user change relationship according to the average voltage similarity of the user.
Further, step S1 includes:
and when the similarity of the household variable voltage reaches a set value and the household variable geographic distance is within a set range, confirming the household variable relationship of the user, otherwise, not confirming the household variable relationship.
Further, the similarity of the user voltage at step S1 is calculated by the following expression,
Figure BDA0003272930540000021
wherein r isijIndicates the similarity of the subscriber voltage of the subscriber i and the subscriber voltage of the station change j of the accountitAnd TjtRespectively representing the voltage of the user i and the platform change j at the time t, and D represents the number of sampling points.
Further, step S2 includes:
taking the maximum value in the similarity of the subscriber voltage as the subscriber voltage similarity of the subscriber and the station transformer belonging to the account;
and when the similarity of the household variable voltage reaches a set value and the household variable geographical distance between the user and the household variable to which the standing book belongs is within a set range, confirming the household variable relationship of the user, otherwise, not confirming the household variable relationship.
Further, the household voltage similarity of step S2 is calculated by the following expression,
Figure BDA0003272930540000022
wherein the content of the first and second substances,
Figure BDA0003272930540000023
representing the house voltage similarity, U, of each identified user n under the change j of the account attribution station of the user iitAnd
Figure BDA0003272930540000024
respectively representing the voltage of the identified user n at the time t under the user i and the station transformer j, and D representing the number of sampling points，n＝1,…,Nj，NjIndicating the number of identified users under standing book home change j.
Further, the step S4 of completing the identification of the user-to-user relationship according to the similarity of the average voltage of the users includes:
and determining that the target station corresponding to the maximum value of the average voltage similarity of the user becomes the affiliation station change of the user, and finishing the identification of the user change relationship.
Further, step S4 includes:
and calculating the voltage similarity of each user identified under the condition that the user and the target station change, and calculating the average voltage similarity of the users according to the voltage similarity of the users.
Further, the average voltage similarity of the users of step S4 is calculated according to the following expression:
Figure BDA0003272930540000031
wherein R isifRepresenting the average voltage similarity between the user i and the user of each identified user under the target station change f,
Figure BDA0003272930540000032
representing the similarity of the voltage of the user i and the voltage of the user m identified under the condition that the target station changes f, wherein m is 1, …, Nf，NfIndicating the number of recognized users under the target station change f.
Further, the user-varying geographic distance is calculated according to the following expression:
dis＝R×arccos[cos(Yi)×cos(Ys)×cos(Xi-Xs)+sin(Yi)×sin(Ys)]，
wherein d isisRepresenting the user-to-user geographical distance between the user i and the station-to-station change s, R is the earth radius, XiAnd YiRepresenting the latitude and longitude, X, of user isAnd YsRepresenting the longitude and latitude of the station transform s.
The invention also provides a station area user-variable relationship identification device, which comprises a processor and a memory, wherein the memory is used for storing a computer program, and the computer program is loaded by the processor and realizes the station area user-variable relationship identification method when being executed.
According to the technical scheme, the invention has the following beneficial effects:
according to the method and the device for identifying the station area house change relationship, voltage similarity and geographical distance of the house change are considered when the house change relationship between the user and the station area is confirmed, and the limitation that the house change relationship is identified only by relying on internal electrical quantity data is effectively overcome; the method comprehensively considers the internal electrical quantity measurement data and the external geographic data of the power system, and is favorable for improving the identification accuracy; the identification method provided by the invention does not need to rely on large-scale field inspection, and has low dependence on equipment.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method for identifying a user-variant relationship according to an embodiment of the present invention
FIG. 2 is a schematic diagram of a user-dependent relationship according to another embodiment of the present invention
FIG. 3 is a flow chart of a method for identifying a user-dependent relationship according to another embodiment of the present invention
FIG. 4 is a schematic diagram of a structure of a station area subscriber identity module identification device according to the present invention
Detailed Description
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.
As shown in fig. 1, the present embodiment provides a method for identifying a user-dependent relationship, including the following steps:
s1, calculating the similarity of the user transformation voltage and the geographical distance of the user transformation between the user and the station transformer belonging to the account, and confirming the user transformation relation according to the similarity of the user transformation voltage and the geographical distance of the user transformation.
In specific implementation, the voltage similarity between the user and the transformer can be calculated by means of numerical characteristics such as Pearson correlation coefficient, Spireman coefficient, included angle cosine and the like.
And S2, for the users of which the user change relationship is not confirmed in the step S1, calculating the user voltage similarity of the users and each identified user under the station change of the account attribution of the users, and confirming the user change relationship according to the user voltage similarity and the user change geographic distance.
In the marketing system, the household change relationship of each user is recorded, each user has only one account attribution station change, but one station change can have a plurality of users, so for the user whose household change relationship cannot be determined through the step S1, the voltage similarity of the user identified under the account attribution station change is calculated to be understood as follows: for example, the user a is a user to be confirmed, the account-based station recorded in the marketing system is changed into the transformer J, and the users B and C have confirmed that the account-based relationship thereof is the home and the transformer J in step S1, then the voltage similarities between the user a and the user B, C need to be calculated in step S2, and then the identification of the account-based relationship is performed in combination with the geographical distance between the user a and the transformer J.
And S3, for the user who does not confirm the user change relationship in the step S2, calculating the user change geographical distance between the user and each station change, and confirming the target station change of the user according to the user change geographical distance.
And for the users of which the user variation relationship is not confirmed through the steps S1-S2, screening out the target user variation through the user variation geographic distance, and further confirming the user variation relationship through the user variation voltage similarity on the basis.
And S4, calculating the average voltage similarity of the user and the recognized user under the target station change, and finishing the identification of the user change relationship according to the average voltage similarity of the user.
In some possible embodiments, step S4 may further include the steps of:
s401, calculating the voltage similarity of each recognized user under the condition that the user and the target platform change;
s402, calculating the average voltage similarity of users according to the voltage similarity of users calculated in the step S401.
In some possible embodiments, the set value of the similarity of the household transformation voltage may be 0.8, or may be 0.5, 0.6, 0.7, 0.9, and the geographic distance range may be set according to the actual power supply area type of the transformer and the power supply radius of each power supply area type in "power distribution network planning and design technology guide rule".
According to the method for identifying the station area house-to-house relationship, the voltage similarity and the geographical distance of the house-to-house relationship are considered when the house-to-house relationship between the user and the station area is confirmed, and the limitation that the house-to-house relationship is identified only by relying on internal electrical quantity data is effectively overcome.
To explain the technical solution of the present invention in more detail, the following embodiment provides a method for identifying station-area user-to-user relationship in combination with the scenario given in fig. 2.
As shown in fig. 2, in the records of the marketing system, the user-to-user relationships of users a to E all belong to a transformer J, and the user F belongs to a transformer L, but only the user a to D, F succeeds in meter reading in actual communication, and the user E cannot succeed in meter reading, the solid line in fig. 2 represents a correct user-to-user relationship, and the dotted line represents a user-to-user relationship in which the records are incorrect.
In conjunction with the execution flow shown in fig. 3, the present embodiment includes the following steps:
s101, counting the number of users to be analyzed to be N, and enabling i to be 1.
S102, calculating the table account variable voltage similarity r of the table account change j of the user i and the table account attributive table change jijVariable geographical distance d from homeij。
Namely, the voltage similarity and the geographical distance between the users A-E and the transformer J are respectively calculated, and the voltage similarity and the geographical distance between the user F and the transformer L are respectively calculated.
In step S102, the table account variable voltage similarity r is calculatedijThere is the following expression:
Figure BDA0003272930540000061
Uitand TjtRespectively representing the voltage of the user i and the platform change j at the time t, and D represents the number of sampling points.
Calculating the user-variable geographic distance dijThere is the following expression:
dij＝R×arccos[cos(Yi)×cos(Yj)×cos(Xi-Xj)+sin(Yi)×sin(Yj)]r is the radius of the earth, XiAnd YiRepresenting the latitude and longitude, X, of user ijAnd YjRepresenting the longitude and latitude of station variation j.
S103, if rijLess than or equal to 0.8 and dij≤dlimitIf the user i belongs to the station j, dlimitIndicating a set geographical distance range.
In step S103, it is confirmed that the user B, C, D belongs to the transformer J, the user F belongs to the transformer L, and the user A, E does not satisfy the set condition and does not confirm the user variation relationship, consistent with the record in the marketing system.
And S201, counting the number M of users of which the user variation relationship is not confirmed after the steps S101-S103, wherein M is less than or equal to N, and making M equal to 1.
S202, calculating the similarity of the voltage of the user n identified under the condition that the user m and the standing book attribution station change l are similar
Figure BDA0003272930540000062
n＝1,…,Nl。
Step S202, calculating the similarity of the subscriber voltages by the following expressions:
Figure BDA0003272930540000063
Umtand
Figure BDA0003272930540000064
respectively representThe voltage of the identified user N at the moment t under the user m and the station transformer l, D represents the number of sampling points, NlIndicating the number of identified subscribers under the ledger home station change l.
Both A and E record in the marketing system the user attributed to transformer J, identified in the preceding step as B, C, D, and therefore N can be determinedlIs 3, the number of users M is 2, and in step S202, the voltage similarities of the users a and B, C, D and the voltage similarities of the users E and B, C, D need to be calculated respectively.
S203, taking the maximum value in the voltage similarity of the account as the voltage similarity r of the account change of the account of the user m and the account change of the account of the user mmlInstant command
Figure BDA0003272930540000071
Taking user a as an example, the maximum value of the voltage similarities with B, C, D is taken as the voltage similarity between user a and transformer J, and similarly, the voltage similarity between user E and transformer J is obtained from this.
S204, if rmlLess than or equal to 0.8 and dml≤dlimitThen user m home station changes to l.
In this embodiment, step S204 confirms that the user a belongs to the transformer J, and the user E does not satisfy the set condition and does not confirm the user-variable relationship.
S301, counting the number E of users who have not confirmed the user-variable relationship after steps S201 to S204, making E equal to 1, and counting the number F of users.
S302, calculating the user variable geographical distance d between the user e and each station variable F (F is 1,2, …, F)efThe specific calculation method and d of the above stepijThe same is true.
S303, screening to satisfy def≤dlimitBecomes the target station change for user e.
In this embodiment, the geographical distances between the user E and the transformer J, L are calculated respectively, and the transformer L is screened as the target station variation of the user E.
S401, calculating the similarity of the voltage of each user of f recognized users z under the change of the user e and the target platform
Figure BDA0003272930540000072
fz＝1,2,…Nf，NfRepresenting the number of recognized users under the condition that the target station changes f, and the similarity calculation mode of the voltage of the users and the steps
Figure BDA0003272930540000073
The same is true.
In the present embodiment, the transformer L recognizes the user as F, and calculates the voltage similarity between the users E and F.
S402, calculating the average voltage similarity R of the user e and the recognized user under the target platform change f according to the following formulaef：
Figure BDA0003272930540000074
In this embodiment, there is only one identified user under the transformer L, and it is understood that, in some possible embodiments, when there are multiple identified users under the transformer L, the expression is used to perform corresponding calculation.
And S403, taking the target station change corresponding to the maximum value in the calculation result of the step S402, namely the home station change of the user e.
In this embodiment, the transformer L to which the user E actually belongs is finally determined by screening in step S403, the identification of the user-to-variable relationship of all users is completed, and the record of the marketing system is corrected according to the identification result.
An embodiment of the present application further provides a device for identifying a station area subscriber relationship, as shown in fig. 4, including: at least one processor 1, at least one communication interface 2, at least one memory 3 and at least one communication bus 4;
in the embodiment of the application, the number of the processor 1, the communication interface 2, the memory 3 and the communication bus 4 is at least one, and the processor 1, the communication interface 2 and the memory 3 complete mutual communication through the communication bus 4;
the processor 1 may be a central processing unit CPU, or an application Specific Integrated circuit asic, or one or more Integrated circuits configured to implement embodiments of the present invention, etc.;
the memory 3 may include a high-speed RAM memory, and may further include a non-volatile memory (non-volatile memory) or the like, such as at least one disk memory;
wherein the memory stores computer-executable instructions and the processor may invoke a program stored in the memory for: the user-variable relationship identification process provided by the foregoing embodiments is implemented.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled 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 transformer area user variation relationship identification method is characterized by comprising the following steps:
s1, calculating the similarity of a user transformation voltage and the geographical distance of the user transformation, and confirming the user transformation relation according to the similarity of the user transformation voltage and the geographical distance of the user transformation;
s2, for the users of which the user variation relationship is not confirmed in the step S1, calculating the user voltage similarity of the users and each identified user under the station change of the account attribution of the users, and confirming the user variation relationship according to the user voltage similarity and the user variation geographic distance;
s3, for the user who does not confirm the user change relationship in the step S2, calculating the user change geographical distance between the user and each station change, and confirming the target station change of the user according to the user change geographical distance;
and S4, calculating the average voltage similarity of the user and the recognized user under the target station change, and finishing the identification of the user change relationship according to the average voltage similarity of the user.
2. The station area subscriber relationship identification method according to claim 1, wherein the step S1 comprises:
and when the similarity of the household variable voltage reaches a set value and the household variable geographic distance is within a set range, confirming the household variable relationship of the user, otherwise, not confirming the household variable relationship.
3. The transformer area subscriber relationship identification method according to claim 1, wherein the subscriber voltage similarity of step S1 is calculated according to the following expression,
Figure FDA0003272930530000011
wherein r isijIndicates the similarity of the subscriber voltage of the subscriber i and the subscriber voltage of the station change j of the accountitAnd TjtRespectively representing the voltage of the user i and the platform change j at the time t, and D represents the number of sampling points.
4. The station area subscriber relationship identification method according to claim 1, wherein the step S2 comprises:
taking the maximum value in the similarity of the subscriber voltage as the subscriber voltage similarity of the subscriber and the station transformer belonging to the account;
and when the similarity of the household variable voltage reaches a set value and the household variable geographical distance between the user and the household variable to which the standing book belongs is within a set range, confirming the household variable relationship of the user, otherwise, not confirming the household variable relationship.
5. The method for identifying station area subscriber relationship according to claim 1, wherein the subscriber voltage similarity of step S2 is calculated according to the following expression,
Figure FDA0003272930530000021
wherein the content of the first and second substances,
Figure FDA0003272930530000022
representing the house voltage similarity, U, of each identified user n under the change j of the account attribution station of the user iitAnd
Figure FDA0003272930530000023
respectively representing the voltage of the identified user N at the time t under the user i and the station change j, D represents the number of sampling points, N is 1, …, and Nj，NjIndicating the number of identified users under standing book home change j.
6. The method of claim 1, wherein the step S4 of completing the subscriber-to-subscriber relationship identification according to the average voltage similarity of subscribers comprises:
and determining that the target station corresponding to the maximum value of the average voltage similarity of the user becomes the affiliation station change of the user, and finishing the identification of the user change relationship.
7. The station area subscriber relationship identification method according to claim 1, wherein the step S4 comprises:
and calculating the voltage similarity of each user identified under the condition that the user and the target station change, and calculating the average voltage similarity of the users according to the voltage similarity of the users.
8. The method for identifying station area subscriber relationship according to claim 7, wherein the average voltage similarity of the subscriber in step S4 is calculated according to the following expression:
Figure FDA0003272930530000024
wherein R isifRepresenting the average voltage similarity between the user i and the user of each identified user under the target station change f,
Figure FDA0003272930530000025
indicating that user i and target station have changed under fIdentifying the voltage similarity of users m, m 1, …, Nf，NfIndicating the number of recognized users under the target station change f.
9. The method for identifying station area diversity relationships of claim 1, wherein the diversity geographical distance is calculated according to the following expression:
dis＝R×arccos[cos(Yi)×cos(Ys)×cos(Xi-Xs)+sin(Yi)×sin(Ys)]，
wherein d isisRepresenting the user-to-user geographical distance between the user i and the station-to-station change s, R is the earth radius, XiAnd YiRepresenting the latitude and longitude, X, of user isAnd YsRepresenting the longitude and latitude of the station transform s.
10. A device for identifying a station area change relationship, comprising a processor and a memory, wherein the memory is used for storing a computer program, wherein the computer program is loaded by the processor and when executed implements the method for identifying a station area change relationship according to any one of claims 1 to 9.
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Publication number Priority date Publication date Assignee Title
CN116482471A (en) * 2023-06-21 2023-07-25 四川中电启明星信息技术有限公司 Household transformer relation identification method based on voltage space-time aggregation curve
CN116482471B (en) * 2023-06-21 2023-09-08 四川中电启明星信息技术有限公司 Household transformer relation identification method based on voltage space-time aggregation curve

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