Substation line loss analysis method and device

Abstract

The present invention is applicable to the technical field of electric power system, and provides a method and device for analyzing line loss in a substation, the method comprising: when receiving a line loss analysis instruction, obtaining the first power consumption data and the first power supply data of the target substation in the target period, and checking the household-to-household relationship and abnormal power data of the target substation; wherein the abnormal power data is the power data of the collection node with the abnormal missing power collection data; if the verification result shows that the household-to-household relationship is not updated and / or the abnormal power data is not processed, the power data affected by the corresponding abnormal situation is corrected to obtain abnormal correction data; based on the first power consumption data, the first power supply data and the abnormal correction data, the first line loss rate of the target substation in the target period is calculated; based on the first line loss rate, the preset line loss threshold and the preset line loss abnormality criterion, the line loss of the target substation is analyzed. The present invention can improve the accuracy of the substation line loss rate and line loss analysis.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric power systems, and in particular relates to a method and a device for analyzing line losses in a transformer area. Background Art

[0002] Line loss rate is an important indicator for evaluating the power service level and economic benefits of power supply companies. Substation line loss analysis is an important part of distribution network line loss management. Substation line loss rate determines the overall line loss rate level of the regional power grid. In order to effectively manage the line loss of the distribution network, it is first necessary to provide accurate substation line loss data and timely analyze and diagnose abnormal situations of substation line loss rate, so as to master reliable substation line loss situation.

[0003] In the related technology, the calculation data of the line loss rate of the substation area comes from the meter reading data. However, in the process of collecting and transmitting electric energy data, abnormal situations such as metering device failure, signal interference, and changes in file relations often occur, which can easily lead to large errors in the electric energy data and affect the accuracy of the line loss rate. In addition, the current success rate of electric energy data collection is still not ideal. For data that has not been successfully collected, manual supplementary reading is required, but the supplementary reading efficiency is low and the synchronization of meter reading time is poor, which will also affect the accuracy of the substation line loss rate and make it difficult to accurately analyze the abnormal situation of line loss in the substation area. Summary of the invention

[0004] In view of this, an embodiment of the present invention provides a method and device for analyzing line loss in a transformer area, so as to solve the problem that it is difficult to accurately analyze the line loss rate and abnormal line loss conditions in the transformer area.

[0005] The present invention is achieved through the following technical solutions:

[0006] In the first aspect, an embodiment of the present invention provides a method for analyzing line loss in a substation, comprising: when a line loss analysis instruction is received, obtaining first power consumption data and first power supply data of a target substation in a target time period, and checking the household-to-household relationship and power abnormality data of the target substation; wherein the power abnormality data is the power data of a collection node with a missing power collection data abnormality; if the verification result shows that the household-to-household relationship has not been updated and / or the power abnormality data has not been processed, then the power data affected by the corresponding abnormal situation is corrected to obtain abnormal correction data; based on the first power consumption data, the first power supply data and the abnormal correction data, calculating the first line loss rate of the target substation in the target time period; based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion, analyzing the line loss of the target substation.

[0007] In combination with the first aspect, in some embodiments, the abnormal correction data includes first correction data and / or second correction data; if the verification result shows that the household change relationship has not been updated and / or the electric energy abnormal data has not been processed, the electric energy data affected by the corresponding abnormal situation is corrected to obtain the abnormal correction data, including: if the verification result shows that the household change relationship has not been updated, the household change relationship of the target substation is identified based on HPLC technology, and the updated topology structure of the target substation is determined; based on the updated topology structure, the first correction data is determined; the first correction data includes missing and / or redundant data in the first power consumption data and the first power supply data; if the verification result shows that the electric energy abnormal data has not been processed, based on the historical electric energy data of the collection node with the electric energy collection data missing abnormality, the electric energy data of the collection node at the moment when the electric energy collection data is missing is predicted to obtain the second correction data.

[0008] In combination with the first aspect, in some embodiments, the HPLC technology is used to identify the household change relationship of the target substation and determine the updated topology structure of the target substation; based on the updated topology structure, the first correction data is determined, including: sending a household change relationship identification instruction to the main station of the communication network topology of the target substation, the household change relationship identification instruction is used to instruct the main station to determine the updated topology structure of the target substation through a distributed substation identification method; according to the difference between the updated topology structure and the household change relationship of the target substation when the line loss analysis instruction is received, the first correction data is determined.

[0009] In combination with the first aspect, in some embodiments, the method further includes: if the verification result shows an abnormal situation in which the abnormal power data is not processed, then after the abnormal power data is supplemented, based on the actual power data after the abnormal power data is supplemented, the second line loss rate of the target substation is calculated; based on multiple groups of the first line loss rates and their corresponding second correction data, the second line loss rates, the actual power data, and other data used to calculate the first line loss rate, a preset line loss rate correction model is trained; the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual power data and the other data, and the training label of the line loss rate correction model is the second line loss rate; when the line loss analysis instruction is received again, after calculating the first line loss rate of the target substation in the target time period, the method further includes: using the trained line loss rate correction model to predict the predicted value of the second line loss rate of the target substation in the target time period.

[0010] In combination with the first aspect, in some embodiments, the method further includes: analyzing the line loss of the target substation based on the predicted value of the second line loss rate and the preset line loss abnormality criterion; comparing the results obtained by analyzing the first line loss rate with the results obtained by analyzing the predicted value of the second line loss rate to obtain a comprehensive analysis result of the line loss of the target substation.

[0011] In combination with the first aspect, in some embodiments, the line loss abnormality judgment criterion includes a metering device failure judgment criterion and a user electricity theft judgment criterion; the line loss of the target substation is analyzed based on the first line loss rate, the preset line loss threshold and the preset line loss abnormality judgment criterion, including: if the first line loss rate is greater than or equal to the preset line loss threshold, then the abnormal cause of the line loss in the target substation is analyzed according to the first line loss rate and the line loss abnormality judgment criterion.

[0012] In combination with the first aspect, in some embodiments, the metering device fault judgment criterion includes: if the power factor on the user's electricity meter side or the area total meter side in the target area is greater than a preset power factor threshold, it is determined that the abnormal cause of the line loss in the target area includes a metering device failure.

[0013] In combination with the first aspect, in some embodiments, the user electricity theft criterion includes: if the similarity between the daily load curve of the users in the target substation and the pre-characterized multiple user daily load characteristic curves is less than a preset similarity threshold, then it is determined that the abnormal cause of the line loss in the target substation includes user electricity theft; wherein the multiple user daily load characteristic curves are obtained by a clustering algorithm.

[0014] In combination with the first aspect, in some embodiments, the first line loss rate of the target substation is calculated based on the first power consumption data, the first power supply data and the abnormal correction data, including: determining the second power consumption data and the second power supply data of the target substation based on the first power consumption data, the first power supply data and the abnormal correction data; determining the substation power consumption of the target substation in the target time period based on the second power consumption data, and determining the substation power supply of the target substation in the target time period based on the second power supply data; calculating the quotient of the difference between the substation power supply and the substation power consumption and the substation power supply to obtain the first line loss rate.

[0015] In a second aspect, an embodiment of the present invention provides a substation line loss analysis device, comprising: an acquisition and verification module, which is used to acquire the first power consumption data and the first power supply data of the target substation in the target time period when a line loss analysis instruction is received, and to verify the household-to-household relationship and power abnormality data of the target substation; wherein the power abnormality data is the power data of the collection node with the power collection data missing abnormality; a pre-correction module, which is used to correct the power data affected by the corresponding abnormal situation if the verification result shows that the household-to-household relationship has not been updated and / or the power abnormality data has not been processed, so as to obtain abnormal correction data; a line loss rate calculation module, which is used to calculate the first line loss rate of the target substation in the target time period based on the first power consumption data, the first power supply data and the abnormal correction data; a line loss rate analysis module, which is used to analyze the line loss of the target substation based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion.

[0016] Compared with the related art, the embodiments of the present invention have the following beneficial effects:

[0017] An embodiment of the present invention provides a method and device for analyzing line loss in a substation, the method comprising: when receiving a line loss analysis instruction, obtaining first power consumption data and first power supply data of a target substation in a target time period, and checking the household-to-household relationship and abnormal power data of the target substation, the abnormal power data being the power data of a collection node with an abnormal missing power collection data; if the verification result shows an abnormal situation that the household-to-household relationship has not been updated and / or the abnormal power data has not been processed, correcting the power data affected by the corresponding abnormal situation to obtain abnormal corrected data; calculating a first line loss rate of the target substation in the target time period based on the first power consumption data, the first power supply data and the abnormal corrected data; and analyzing the line loss of the target substation based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion. Before calculating the line loss rate of the target substation, the method of the present invention first checks the two abnormal conditions of the target substation, namely, the change of the household transformer relationship and the missing of the electric energy data. By correcting the data affected by the two abnormal conditions, a line loss rate after preliminary correction, namely, the first line loss rate, can be calculated, so that the calculated line loss rate is closer to the actual line loss situation of the target substation. And by using the first line loss rate for analysis, the two abnormal causes of line loss, namely, the change of the household transformer relationship and the missing of the electric energy data, can be excluded first, and the scope of the abnormal causes of line loss can be narrowed, thereby facilitating more accurate positioning of the abnormal causes of line loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 It is a flow chart of a method for analyzing line loss in a transformer area provided by an embodiment of the present invention;

[0020] Figure 2 It is a structural schematic diagram of a substation line loss analysis device provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0021] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0022] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0023] It should also be understood that the term “and / or” used in the specification and appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0024] In addition, in the description of the present specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0025] References to "one embodiment" or "some embodiments" etc. described in the present specification mean that one or more embodiments of the present invention include specific features, structures or characteristics described in conjunction with the embodiment. Therefore, the statements "in one embodiment", "in some embodiments", "in some other embodiments", "in some other embodiments", etc. that appear in different places in this specification do not necessarily refer to the same embodiment, but mean "one or more but not all embodiments", unless otherwise specifically emphasized in other ways. The terms "including", "comprising", "having" and their variations all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0026] Figure 1 is a flow chart of a method for analyzing line loss in a transformer area provided by an embodiment of the present invention, referring to Figure 1 , the detailed description of the line loss analysis method of this area is as follows:

[0027] S101, when a line loss analysis instruction is received, the first power consumption data and the first power supply data of the target substation in the target period are obtained, and the household-to-substation relationship and abnormal power data of the target substation are checked; wherein the abnormal power data is the power data of the collection node with missing power collection data abnormality.

[0028] In the embodiments of the present invention, the abnormal line loss conditions in the substation area that are mainly considered include abnormal line loss caused by changes in household transformer relationships, abnormal line loss caused by abnormal data collection, abnormal line loss caused by abnormal metering device failure, and abnormal line loss caused by user electricity theft. After classifying and analyzing the abnormal line loss conditions in the substation area, and considering the advantages of more comprehensive, efficient and accurate data collection brought about by the popularization of HPLC (High-speed powerline carrier) communication technology, the present invention places the abnormal line loss analysis caused by changes in household transformer relationships and abnormal data collection before the line loss rate calculation step. In view of the fact that HPLC communication technology can improve the success rate and data synchronization of data collection, the difficulty of completing abnormal power data is significantly reduced. Checking household transformer relationships and abnormal power data before calculating the line loss rate helps to improve the efficiency of abnormal line loss analysis.

[0029] In an embodiment of the present invention, the above-mentioned verification of the household change relationship of the target station area refers to checking whether the household change relationship of the target station area has changed. In one possible implementation, the current household change relationship can be checked according to the household change relationship automatically reported by the communication system of the target station area. In another possible implementation, the actual station area topology of the target station area can be obtained, and the actual station area topology can be compared with the household change relationship file of the target station area to determine whether the current household change relationship has changed.

[0030] In some embodiments, the first power consumption data and the first power supply data can be obtained through statistical data of an area table of the target area and a user power meter.

[0031] S102, if the verification result shows that the household change relationship has not been updated and / or the abnormal power data has not been processed, the power data affected by the corresponding abnormal situation is corrected to obtain abnormal correction data.

[0032] In some embodiments, the above-mentioned abnormal correction data may include first correction data and / or second correction data. The first correction data refers to the electric energy data that needs to be corrected and determined by analyzing the abnormal situation that the household change relationship is not updated. The second correction data refers to the electric energy data that needs to be supplemented and determined by analyzing the abnormal situation that the electric energy abnormal data is not processed.

[0033] In some embodiments, step S102 may include step S201 and step S202:

[0034] S201. If the verification result shows an abnormal situation that the household change relationship has not been updated, the household change relationship of the target substation is identified based on the HPLC technology, and the updated topology structure of the target substation is determined; based on the updated topology structure, the first correction data is determined; the first correction data includes the missing and / or redundant data in the first power consumption data and the first power supply data.

[0035] S202, if the verification result shows that abnormal power data is not processed, based on the historical power data of the collection node with the power collection data missing abnormality, the power data of the collection node at the time when the power collection data is missing is predicted to obtain second corrected data.

[0036] It can be understood that if the verification result shows that there is both an abnormal situation that the household change relationship has not been updated and an abnormal situation that the abnormal power data has not been processed, then both the above steps S201 and S202 are executed.

[0037] In some embodiments, the implementation process of the above step S201 may include steps S301 to S302:

[0038] S301, sending a household change relationship identification instruction to a master station of a communication network topology of a target area, wherein the household change relationship identification instruction is used to instruct the master station to determine an updated topology structure of the target area through a distributed area identification method.

[0039] In a possible implementation, the communication network topology of the target area includes the above-mentioned master station, the central coordinator and multiple communication nodes. The process of the above-mentioned master station determining the first area topology of the target area through the distributed area identification method includes: after the master station receives the household change relationship identification instruction, it sends a first startup instruction to the central coordinator, and the first startup instruction is used to instruct the central coordinator to start the area identification function; after the central coordinator receives the first startup instruction, it sends a second startup instruction to multiple communication nodes, and sends its own first area feature information to each communication node; wherein the second startup instruction is used to control the multiple communication nodes to start the area feature collection function; after each communication node receives the second startup instruction, it collects its own second area feature information; each communication node determines its own area discrimination result based on the first area feature information and the second area feature information, and reports its own area discrimination result to the master station through the central coordinator; the master station determines the updated topology structure of the target area based on the area discrimination results of multiple communication nodes.

[0040] S302, determining first correction data according to the difference between the updated topology structure and the household change relationship of the target substation when receiving the line loss analysis instruction.

[0041] It is understandable that when a change occurs in the household change relationship in the substation, there may be a situation where a new meter is connected but not archived. This situation will result in incomplete overall power data, and the power data of the new meter needs to be obtained. There may also be a situation where other substation nodes are registered in the target substation, which will result in redundant overall power data, and the power data of the incorrectly registered meter needs to be screened out. Therefore, the first correction data may include the power data that needs to be completed and / or the redundant power data that should be subtracted due to the change in the household change relationship.

[0042] In some embodiments, based on the above step S202, the station area line loss analysis method of the present invention may further include:

[0043] S401, if the verification result shows that the abnormal power data is not processed, then after the abnormal power data is supplemented, the second line loss rate of the target substation is calculated based on the actual power data after the abnormal power data is supplemented.

[0044] S402, based on multiple groups of first line loss rates and their corresponding second correction data, second line loss rates, actual electric energy data, and other data used to calculate the first line loss rate, a preset line loss rate correction model is trained; the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual electric energy data, and other data used to calculate the first line loss rate, and the training label of the line loss rate correction model is the second line loss rate.

[0045] It should be understood that when the verification result only has the abnormal situation that the abnormal power data is not processed, the other data used to calculate the first line loss rate refers to the first power consumption data and the first power supply data. When the above-mentioned line loss rate correction model is actually trained or used, the first power consumption data and the first power supply data can be integrated first to obtain a total power consumption and a total power supply. When the verification result simultaneously has the abnormal situation that the abnormal power data is not processed and the abnormal situation that the household change relationship is not updated, the other data used to calculate the first line loss rate include the first power consumption data, the first power supply data and the first correction data. Similarly, when the above-mentioned line loss rate correction model is actually trained or used, the first power consumption data, the first power supply data and the first correction data can be integrated first to obtain a total power consumption and a total power supply. In this way, the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual power data, the above-mentioned total power consumption and the total power supply.

[0046] S403, when receiving the line loss analysis instruction again, after calculating the first line loss rate of the target substation in the target time period, the method further includes: using the trained line loss rate correction model to predict a predicted value of the second line loss rate of the target substation in the target time period.

[0047] Optionally, when training the above-mentioned line loss rate correction model, if the accuracy of the model is poor due to the small amount of training set data, the amount of data in the training set can be enriched by artificially creating training data. Specifically, some non-power abnormality data in a certain existing training data can be regarded as "power abnormality data", and this part of non-power abnormality data can be used as the actual power data of the "power abnormality data", and then based on the power data of the collection node corresponding to this part of non-power abnormal data at other collection times, the same prediction method as step S202 is used to predict the power data at the collection time corresponding to this part of non-power abnormal data, and obtain the "second correction data" of the "power abnormal data", and then use the "second correction data" to calculate the corresponding first line loss rate. Based on the idea of ​​making such training data, the data set is expanded, so that the line loss rate correction model can obtain a better training effect.

[0048] In some embodiments, based on the above steps S401 to S403, the station area line loss analysis method of the present invention may further include:

[0049] S404: Analyze the line loss of the target substation based on the predicted value of the second line loss rate and a preset line loss abnormality criterion.

[0050] S405, comparing the result obtained by the first line loss rate analysis with the result obtained by the second line loss rate prediction value analysis to obtain a comprehensive line loss analysis result of the target substation.

[0051] Optionally, if the result obtained by the first line loss rate analysis (first analysis result) is the same as the result obtained by the second line loss rate prediction value analysis (second analysis result), then the line loss comprehensive analysis result is that the first analysis result has a higher credibility. Next, the line loss anomaly of the target substation can be managed according to the first analysis result. If there is a difference between the result obtained by the first line loss rate analysis and the result obtained by the second line loss rate prediction value analysis, then the line loss comprehensive analysis result is based on the second analysis result as the main conclusion and the first analysis result as an auxiliary reference.

[0052] In the above embodiment, the first line loss rate is corrected by predicting the predicted value of the second line loss rate, thereby improving the credibility of the line loss rate and helping to improve the accuracy of locating the cause of abnormal line loss.

[0053] S103, calculating a first line loss rate of a target substation in a target period of time based on the first power consumption data, the first power supply data and the abnormal correction data.

[0054] In some embodiments, step S103 may include: determining second power consumption data and second power supply data of the target substation based on the first power consumption data, the first power supply data and the abnormal correction data; determining the substation power consumption of the target substation in the target period based on the second power consumption data, and determining the substation power supply of the target substation in the target period based on the second power supply data; calculating the quotient of the difference between the substation power supply and the substation power consumption and the substation power supply to obtain the first line loss rate.

[0055] S104: Analyze the line loss of the target substation based on the first line loss rate, the preset line loss threshold and the preset line loss abnormality criterion.

[0056] In some embodiments, step S104 may include: if the first line loss rate is greater than or equal to a preset line loss threshold, analyzing the abnormal cause of the line loss in the target substation according to the first line loss rate and the line loss abnormality criterion. The preset line loss threshold may be different for different types of substations.

[0057] In some embodiments, the line loss abnormality criterion may include a metering device failure criterion and a user electricity theft criterion.

[0058] Among them, the metering device failure judgment criteria include: if the power factor on the user's electric energy meter side or the total meter side of the area in the target area is greater than the preset power factor threshold, it is determined that the abnormal cause of the line loss in the target area includes the metering device failure. Exemplarily, based on the analysis of past data, the preset power factor threshold can be 0.75. The user electricity theft judgment criteria include: if the similarity between the daily load curve of the user in the target area and the pre-characterized daily load characteristic curves of multiple users is less than the preset similarity threshold, it is determined that the abnormal cause of the line loss in the target area includes user electricity theft. Among them, the daily load characteristic curves of multiple users are obtained by a clustering algorithm.

[0059] It should be understood that the above-mentioned pre-characterized daily load characteristic curves of various users are all typical daily load characteristic curves of non-electricity theft users. Therefore, when the daily load curve of the user in the target substation cannot match the pre-characterized daily load characteristic curves of various users, it can be determined that the user is an electricity theft user, so the cause of abnormal line loss includes user electricity theft.

[0060] Optionally, if the first line loss rate is less than the preset line loss threshold, the power factor on the total meter side of the substation is verified. If the power factor on the total meter side of the substation is greater than the preset power factor threshold, the line loss rate of the target substation is determined to be normal. If the power factor on the total meter side of the substation is greater than or equal to the preset power factor threshold, it is determined that there is an abnormal situation of a metering device failure in the target substation. This embodiment is to perform a simple verification of the negative loss situation and check whether the target substation has become a negative loss substation due to a metering device failure.

[0061] The above-mentioned line loss analysis method for the substation area first checks the two abnormal conditions of the target substation area, namely, the change of the household transformer relationship and the missing of the electric energy data, before calculating the line loss rate of the target substation area. By correcting the data affected by the two abnormal conditions, a line loss rate after preliminary correction, namely, the first line loss rate, can be calculated, so that the calculated line loss rate is closer to the actual line loss situation of the target substation area. And by using the first line loss rate for analysis, the two abnormal causes of line loss, namely, the change of the household transformer relationship and the missing of the electric energy data, can be excluded first, and the scope of the abnormal causes of line loss can be narrowed, thereby helping to locate the abnormal causes of line loss more accurately.

[0062] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0063] Corresponding to the area line loss analysis method described in the above embodiment, Figure 2 A schematic structural diagram of a station area line loss analysis device provided in an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown.

[0064] See also Figure 2 The substation line loss analysis device 200 in the embodiment of the present invention may include an acquisition and verification module 210, a pre-correction module 220, a line loss rate calculation module 230, and a line loss rate analysis module 240.

[0065] Among them, the acquisition and verification module 210 can be used to obtain the first power consumption data and the first power supply data of the target substation in the target time period when receiving the line loss analysis instruction, and to verify the household-to-substation relationship and the abnormal power data of the target substation; wherein the abnormal power data is the power data of the collection node with missing power collection data abnormality.

[0066] The pre-correction module 220 can be used to correct the power data affected by the corresponding abnormal situation to obtain abnormal correction data if the verification result shows that the household change relationship has not been updated and / or the abnormal power data has not been processed.

[0067] The line loss rate calculation module 230 may be used to calculate a first line loss rate of a target substation in a target period of time based on the first power consumption data, the first power supply data and the abnormal correction data.

[0068] The line loss rate analysis module 240 may be used to analyze the line loss of the target substation based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion.

[0069] Optionally, the pre-correction module 220 can be specifically used for: if the verification result shows that the household change relationship has not been updated, then based on the HPLC technology, the household change relationship of the target substation is identified to determine the updated topology structure of the target substation; based on the updated topology structure, the first correction data is determined; the first correction data includes missing and / or redundant data in the first power consumption data and the first power supply data; if the verification result shows that the abnormal power data has not been processed, then based on the historical power data of the collection node with the abnormal power collection data missing, the power data of the collection node at the moment when the power collection data is missing is predicted to obtain the second correction data.

[0070] Optionally, the pre-correction module 220 can be specifically used to: send a household change relationship identification instruction to the main station of the communication network topology of the target substation, the household change relationship identification instruction is used to instruct the main station to determine the updated topology structure of the target substation through a distributed substation identification method; determine the first correction data based on the difference between the updated topology structure and the household change relationship of the target substation when receiving the line loss analysis instruction.

[0071] Optionally, the line loss rate calculation module 230 can be specifically used to: determine the second power consumption data and the second power supply data of the target substation based on the first power consumption data, the first power supply data and the abnormal correction data; determine the substation power consumption of the target substation in the target time period based on the second power consumption data, and determine the substation power supply of the target substation in the target time period based on the second power supply data; calculate the quotient of the difference between the substation power supply and the substation power consumption and the substation power supply to obtain the first line loss rate.

[0072] Optionally, the line loss rate analysis module 240 may be specifically used to: if the first line loss rate is greater than or equal to a preset line loss threshold, analyze the abnormal cause of the line loss in the target substation according to the first line loss rate and a line loss abnormality criterion.

[0073] Optionally, the substation line loss analysis device 200 can also be used for: if the verification result shows an abnormal situation in which abnormal power data is not processed, then after the abnormal power data is supplemented, the second line loss rate of the target substation is calculated based on the actual power data after the abnormal power data is supplemented; based on multiple groups of first line loss rates and their corresponding second correction data, second line loss rates, actual power data, and other data used to calculate the first line loss rate, a preset line loss rate correction model is trained; the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual power data and other data, and the training label of the line loss rate correction model is the second line loss rate. When the line loss analysis instruction is received again, after calculating the first line loss rate of the target substation in the target time period, the trained line loss rate correction model is used to predict the predicted value of the second line loss rate of the target substation in the target time period.

[0074] Optionally, the substation line loss analysis device 200 can also be used to: analyze the line loss of the target substation based on the predicted value of the second line loss rate and the preset line loss abnormality criterion; compare the results obtained by the first line loss rate analysis with the results obtained by the predicted value analysis of the second line loss rate to obtain a comprehensive line loss analysis result of the target substation.

[0075] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0076] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0077] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various substation line loss analysis method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium.

[0078] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.

Claims

1. A method for analyzing line loss in a transformer area, characterized in that: include: When a line loss analysis instruction is received, the first power consumption data and the first power supply data of the target area in the target period are obtained, and the household transformer relationship and abnormal power data of the target area are checked; wherein the abnormal power data is the power data of the collection node with the power collection data missing abnormality; If the verification result shows an abnormal situation that the household change relationship is not updated, the household change relationship of the target substation is identified based on the HPLC technology, and the updated topology structure of the target substation is determined; based on the updated topology structure, the first correction data is determined; the first correction data includes the missing and / or redundant data in the first power consumption data and the first power supply data; If the verification result shows that the abnormal power data is not processed, based on the historical power data of the collection node with the power collection data missing abnormality, the power data of the collection node at the time when the power collection data is missing is predicted to obtain the second corrected data; Calculating a first line loss rate of the target area in the target time period based on the first power consumption data, the first power supply data, the first correction data and the second correction data; Analyzing the line loss of the target substation based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion; The method further comprises: If the verification result shows an abnormal situation that the abnormal power data is not processed, after the abnormal power data is supplemented, the second line loss rate of the target substation is calculated based on the actual power data after the abnormal power data is supplemented; Based on multiple groups of the first line loss rate and the corresponding second correction data, the second line loss rate, the actual power data, and other data used to calculate the first line loss rate, a preset line loss rate correction model is trained; the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual power data, and the other data, and the training label of the line loss rate correction model is the second line loss rate; When receiving the line loss analysis instruction again, after calculating the first line loss rate of the target station area in the target time period, the method further includes: The trained line loss rate correction model is used to predict the predicted value of the second line loss rate of the target station area in the target time period.

2. The method for analyzing line loss in a transformer area according to claim 1, characterized in that: The HPLC-based technology is used to identify the household change relationship of the target area and determine the updated topological structure of the target area; Determining first correction data based on the updated topology structure includes: Sending a household change relationship identification instruction to a master station of the communication network topology of the target area, wherein the household change relationship identification instruction is used to instruct the master station to determine the updated topology structure of the target area through a distributed area identification method; The first correction data is determined according to the difference between the updated topology and the household change relationship of the target station area when the line loss analysis instruction is received.

3. The method for analyzing line loss in a transformer area according to claim 1, characterized in that: The method further comprises: Analyzing the line loss of the target substation based on the predicted value of the second line loss rate and the preset line loss abnormality criterion; The result obtained through the analysis of the first line loss rate is compared with the result obtained through the analysis of the predicted value of the second line loss rate to obtain a comprehensive analysis result of the line loss in the target substation.

4. The method for analyzing line loss in a transformer area according to claim 1, characterized in that: The abnormal line loss criterion includes a metering device failure criterion and a user electricity theft criterion; The analyzing the line loss of the target substation based on the first line loss rate, the preset line loss threshold and the preset line loss abnormality criterion includes: If the first line loss rate is greater than or equal to the preset line loss threshold, an abnormal cause analysis of the line loss in the target substation is performed based on the first line loss rate and the line loss abnormality criterion.

5. The method for analyzing line loss in a transformer area according to claim 4, characterized in that: The metering device fault criterion includes: If the power factor on the user's electric energy meter side or the area's total meter side in the target area is greater than a preset power factor threshold, it is determined that the abnormal cause of the line loss in the target area includes a metering device failure.

6. The method for analyzing line loss in a transformer area according to claim 4, characterized in that: The user electricity theft criteria include: If the similarity between the daily load curve of the users in the target substation and the pre-characterized daily load characteristic curves of multiple users is less than a preset similarity threshold, it is determined that the abnormal cause of the line loss in the target substation includes user electricity theft; wherein the daily load characteristic curves of multiple users are obtained by a clustering algorithm.

7. The method for analyzing line loss in a transformer area according to claim 1, characterized in that: The calculating, based on the first power consumption data, the first power supply data, the first correction data and the second correction data, a first line loss rate of the target area in the target time period comprises: Determining second power usage data and second power supply data of the target area based on the first power usage data, the first power supply data, the first correction data and the second correction data; Determine the power consumption of the target area in the target period based on the second power consumption data, and determine the power supply of the target area in the target period based on the second power supply data; The first line loss rate is obtained by calculating the quotient of the difference between the power supply of the substation and the power consumption of the substation and the power supply of the substation.

8. A line loss analysis device for a transformer area, characterized in that: include: An acquisition and verification module is used to, when receiving a line loss analysis instruction, acquire the first power consumption data and the first power supply data of the target area in the target period, and verify the household-to-user relationship and power abnormality data of the target area; wherein the power abnormality data is the power data of the collection node with power collection data missing abnormality; A pre-correction module is used for, if the verification result shows that the household change relationship has not been updated, identifying the household change relationship of the target substation based on the HPLC technology, and determining the updated topology structure of the target substation; determining first correction data based on the updated topology structure; the first correction data includes missing and / or redundant data in the first power consumption data and the first power supply data; if the verification result shows that the abnormal power data has not been processed, predicting the power data of the collection node at the moment when the power collection data is missing based on the historical power data of the collection node with the power collection data missing abnormality, and obtaining second correction data; A line loss rate calculation module, configured to calculate a first line loss rate of the target substation in the target time period based on the first power consumption data, the first power supply data, the first correction data and the second correction data; A line loss rate analysis module, configured to analyze the line loss of the target substation based on the first line loss rate, a preset line loss threshold and a preset line loss abnormality criterion; The device is also used for: If the verification result shows an abnormal situation that the abnormal power data is not processed, after the abnormal power data is supplemented, the second line loss rate of the target substation is calculated based on the actual power data after the abnormal power data is supplemented; Based on multiple groups of the first line loss rates and their corresponding second correction data, the second line loss rates, the actual electric energy data, and other data used to calculate the first line loss rate, a preset line loss rate correction model is trained; the input data of the line loss rate correction model includes the first line loss rate, the second correction data, the actual electric energy data and the other data, and the training label of the line loss rate correction model is the second line loss rate; when the line loss analysis instruction is received again, after calculating the first line loss rate of the target substation in the target time period, the trained line loss rate correction model is used to predict the predicted value of the second line loss rate of the target substation in the target time period.

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