Distribution line loss control method, device and electronic equipment

Abstract

The distribution line line loss control method, device and electronic equipment provided in the present application relate to the field of line loss control technology. In the present application, firstly, based on the target line operation parameters, a line loss related analysis can be performed on at least one distribution line to be analyzed to determine whether each distribution line to be analyzed belongs to a high-loss distribution line; secondly, when there is a distribution line to be analyzed that belongs to a high-loss distribution line in at least one distribution line to be analyzed, for each distribution line to be analyzed that belongs to a high-loss distribution line, the loss reduction potential and high-loss cause of the distribution line to be analyzed can be determined and processed to obtain the corresponding loss reduction potential parameters and high-loss cause information; then, line loss control operations can be performed based on the corresponding loss reduction potential parameters and high-loss cause information. Based on the above content, the problem of relatively low reliability of distribution line line loss control in the prior art can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of line loss control, and in particular to a method, device and electronic equipment for controlling line loss in distribution lines. Background Art

[0002] Line loss rate refers to the ratio of electric energy loss caused by factors such as resistance, inductance, and capacitance during the power transmission and distribution process. In the power transmission and distribution system, electric energy will suffer a certain degree of loss during the transmission process due to the presence of components such as resistance, inductance, and capacitance, resulting in less electric energy delivered to the end user than the power source. Among them, the distribution network line loss accounts for more than 70% of the overall line loss of the power grid. Therefore, the control of distribution network line loss (line loss of distribution lines) is an important link. However, the inventors have found that in the existing distribution network line loss technology, there is a problem of relatively low reliability in the control of distribution line line loss. Summary of the invention

[0003] In view of this, the purpose of the present application is to provide a distribution line line loss control method, device and electronic equipment to improve the problem of relatively low reliability of distribution line line loss control in the prior art.

[0004] To achieve the above purpose, the embodiment of the present application adopts the following technical solution:

[0005] A method for controlling line loss of a distribution line, comprising:

[0006] Based on the target line operation parameters of each distribution line to be analyzed, performing line loss related analysis on at least one distribution line to be analyzed to determine whether each of the distribution lines to be analyzed belongs to a high-loss distribution line, wherein the line loss parameter of the distribution line to be analyzed that belongs to the high-loss distribution line is greater than the line loss parameter of the distribution line to be analyzed that does not belong to the high-loss distribution line;

[0007] When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, the loss reduction potential and the cause of high loss are determined for the distribution line to be analyzed to obtain loss reduction potential parameters and high-loss cause information corresponding to the distribution line to be analyzed, wherein the loss reduction potential parameters are used to reflect the extent to which the line loss parameters of the distribution line to be analyzed can be reduced, and the high-loss cause information is used to reflect the cause of high line loss in the distribution line to be analyzed;

[0008] Based on the corresponding loss reduction potential parameters and high-loss cause information, line loss control operations are performed on each distribution line to be analyzed that is a high-loss distribution line, wherein the line loss control operations at least include determining a distribution line loss control plan for performing distribution line loss reduction processing on each distribution line to be analyzed that is a high-loss distribution line.

[0009] In a preferred embodiment of the present application, in the above-mentioned distribution line line loss control method, the step of performing line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed to determine whether each distribution line to be analyzed belongs to a high-loss distribution line includes:

[0010] Acquire an actual line loss parameter corresponding to each of at least one distribution line to be analyzed and a corresponding at least one target line operation parameter;

[0011] For each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, a line loss prediction parameter corresponding to the distribution line to be analyzed is obtained by using a predetermined target line loss analysis model corresponding to the distribution line to be analyzed, wherein the target line loss analysis model belongs to a model determined in a random forest regression model and a neural network model corresponding to the distribution line to be analyzed;

[0012] The corresponding actual line loss parameters and the line loss prediction parameters are respectively compared and analyzed to determine whether each of the distribution lines to be analyzed is a high-loss distribution line.

[0013] In a preferred embodiment of the present application, in the above-mentioned distribution line line loss control method, the step of obtaining the actual line loss parameters corresponding to each of the at least one distribution line to be analyzed and the corresponding at least one target line operation parameter includes:

[0014] Obtaining actual line loss parameters corresponding to each of at least one distribution line to be analyzed, wherein the actual line loss parameters are determined based on the power supply at the head end of the distribution line to be analyzed and the power sales of the distribution transformer at the end of the line;

[0015] Obtain at least one original line operation parameter corresponding to each of the distribution lines to be analyzed, wherein the at least one original line operation parameter includes at least one of the following: power supply radius, trunk line diameter, total capacity of distribution transformer, power supply, active integrated power at the head end of the line, sum of power consumption of the terminal distribution transformer, average load rate of distribution line, average power factor of distribution line, average load rate of distribution transformer, proportion of distribution transformer power factor lower than 0.9, proportion of three-phase unbalanced distribution transformer, proportion of distributed power supply online power, proportion of high-energy-consuming distribution transformer, and proportion of thin trunk line diameter;

[0016] Based on the actual line loss parameter corresponding to each of the distribution lines to be analyzed and the corresponding at least one original line operation parameter, a first screening process is performed on the original line operation parameters to obtain candidate line operation parameters corresponding to each of the distribution lines to be analyzed, wherein the first screening process at least includes screening out at least one original line operation parameter among a plurality of original line operation parameters having the same or similar influence on the line loss, and retaining at least one original line operation parameter as a candidate line operation parameter;

[0017] Based on the actual line loss parameters corresponding to each of the distribution lines to be analyzed and at least one corresponding candidate line operating parameter, a second screening process is performed on the candidate line operating parameters to obtain target line operating parameters corresponding to each of the distribution lines to be analyzed, wherein the second screening process at least includes retaining the candidate line operating parameters that have a higher degree of influence on the line loss as the target line operating parameters.

[0018] In a preferred selection of the embodiment of the present application, in the above-mentioned distribution line line loss control method, for each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, using a predetermined target line loss analysis model corresponding to the distribution line to be analyzed, the step of obtaining the line loss prediction parameter corresponding to the distribution line to be analyzed includes:

[0019] Based on at least one target line operation parameter corresponding to each of the distribution lines to be analyzed, clustering the at least one distribution line to be analyzed to obtain a target clustering result corresponding to the at least one distribution line to be analyzed;

[0020] For each distribution line cluster in the target clustering result, historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster are obtained, and based on the historical line loss parameters and the historical line operation parameters, the initial random forest regression model and the initial neural network model are trained to obtain the trained random forest regression model and the trained neural network model corresponding to the distribution line cluster, wherein each of the distribution line clusters includes at least one distribution line to be analyzed;

[0021] For each distribution line cluster in the target clustering result, based on the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster, respectively determine the prediction error rate of the trained random forest regression model and the prediction error rate of the trained neural network model corresponding to the distribution line cluster;

[0022] Based on the prediction error rate of the corresponding trained random forest regression model and the prediction error rate of the trained neural network model, in the corresponding trained random forest regression model and the trained neural network model, respectively determine the target line loss analysis model corresponding to each distribution line cluster, wherein the target line loss analysis model belongs to one of the trained random forest regression model and the trained neural network model;

[0023] For each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, a target line loss analysis model corresponding to the distribution line cluster to which the distribution line to be analyzed belongs is used to obtain a line loss prediction parameter corresponding to the distribution line to be analyzed.

[0024] In a preferred embodiment of the present application, in the above-mentioned distribution line line loss control method, the step of comparing and analyzing the corresponding actual line loss parameters and the predicted line loss parameters to determine whether each of the distribution lines to be analyzed belongs to a high-loss distribution line includes:

[0025] For each of the distribution lines to be analyzed, respectively perform high-loss confirmation processing on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, to obtain a first high-loss confirmation result and a second high-loss confirmation result corresponding to the distribution line to be analyzed;

[0026] For each of the distribution lines to be analyzed, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, then it is determined that the distribution line to be analyzed belongs to a high-loss distribution line; if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, then it is determined that the distribution line to be analyzed does not belong to a high-loss distribution line.

[0027] In a preferred selection of the embodiment of the present application, in the above-mentioned distribution line line loss control method, when there is a distribution line to be analyzed that is a high-loss distribution line in the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determining the loss reduction potential and the cause of high loss of the distribution line to be analyzed, and obtaining the loss reduction potential parameters and high-loss cause information corresponding to the distribution line to be analyzed, the step includes:

[0028] When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, based on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, determine the loss reduction potential parameter corresponding to the distribution line to be analyzed, wherein the actual line loss parameter is determined based on the power supply at the line head end of the distribution line to be analyzed and the power sales of the distribution transformer at the line end, and the line loss prediction parameter is obtained by predicting the line loss based on the target line operation parameters of the distribution line to be analyzed, and there is a positive correlation between the loss reduction potential parameter and the actual line loss parameter, and there is a negative correlation between the loss reduction potential parameter and the line loss prediction parameter;

[0029] When there is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to the high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter.

[0030] In a preferred selection of the embodiment of the present application, in the above-mentioned distribution line line loss control method, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in at least one target line operating parameter, including:

[0031] When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determining whether there is a distribution line to be analyzed that is not a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs, wherein the distribution line cluster is obtained based on clustering the at least one distribution line to be analyzed according to at least one corresponding target line operation parameter;

[0032] For each distribution line to be analyzed that belongs to a high-loss distribution line, when there is a distribution line to be analyzed that does not belong to a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs, a difference comparison analysis is performed on at least one target line operation parameter corresponding to the distribution line to be analyzed that belongs to the high-loss distribution line and at least one target line operation parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line, so as to determine whether there is a differential line operation index, wherein the differential line operation index refers to a line operation index in which, among the at least one line operation index corresponding to the at least one target line operation parameter, the difference between the target line operation parameters of the corresponding two distribution lines to be analyzed is greater than a preset difference;

[0033] For each distribution line to be analyzed that is a high-loss distribution line, when the distribution line to be analyzed has a differential line operation index, the differential line operation index is used as high-loss cause information corresponding to the distribution line to be analyzed.

[0034] In a preferred embodiment of the present application, in the above-mentioned distribution line line loss control method, the step of performing line loss control operation on each distribution line to be analyzed belonging to a high-loss distribution line based on the corresponding loss reduction potential parameter and high-loss cause information includes:

[0035] For each distribution line to be analyzed that is a high-loss distribution line, based on the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, a loss reduction assessment index corresponding to the distribution line to be analyzed is determined, wherein there is a positive correlation between the loss reduction assessment index and the loss reduction potential parameter, and there is a correlation between the loss reduction assessment index and the loss reduction method corresponding to the high-loss cause information, and the loss reduction method at least includes operation mode adjustment and equipment transformation;

[0036] Based on the loss reduction assessment index corresponding to each of the distribution lines to be analyzed, a distribution line line loss control plan for each of the at least one distribution line to be analyzed is determined, wherein the distribution line line loss control plan includes at least priority information for performing distribution line line loss reduction processing on the distribution lines to be analyzed.

[0037] The present application also provides a distribution line line loss control device, including:

[0038] A line analysis module, configured to perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed, so as to determine whether each distribution line to be analyzed belongs to a high-loss distribution line, wherein the line loss parameter of the distribution line to be analyzed that belongs to the high-loss distribution line is greater than the line loss parameter of the distribution line to be analyzed that does not belong to the high-loss distribution line;

[0039] A line loss analysis module, for determining the loss reduction potential and high loss cause of each distribution line to be analyzed that is a high-loss distribution line, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, to obtain a loss reduction potential parameter and high loss cause information corresponding to the distribution line to be analyzed, wherein the loss reduction potential parameter is used to reflect the extent to which the line loss parameter of the distribution line to be analyzed can be reduced, and the high loss cause information is used to reflect the cause of the high line loss of the distribution line to be analyzed;

[0040] The line loss control module is used to perform line loss control operations on each distribution line to be analyzed that is a high-loss distribution line based on the corresponding loss reduction potential parameters and high-loss cause information, wherein the line loss control operation at least includes determining a distribution line loss control plan for reducing the distribution line line loss for each distribution line to be analyzed that is a high-loss distribution line.

[0041] Based on the above, an embodiment of the present application further provides an electronic device, including:

[0042] Memory for storing computer programs;

[0043] A processor connected to the memory is used to execute the computer program stored in the memory to implement the above-mentioned distribution line line loss control method.

[0044] On the basis of the above, an embodiment of the present application further provides a computer-readable storage medium, in which a computer program is stored, and when the computer program is run, each step of the above-mentioned distribution line line loss control method is executed.

[0045] The distribution line line loss control method, device and electronic equipment provided in the present application can, firstly, perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters to determine whether each distribution line to be analyzed is a high-loss distribution line; secondly, when there is a distribution line to be analyzed that is a high-loss distribution line in at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determine the loss reduction potential and high-loss cause of the distribution line to be analyzed to obtain corresponding loss reduction potential parameters and high-loss cause information; then, based on the corresponding loss reduction potential parameters and high-loss cause information, line line loss control operations can be performed. Based on the above content, after the high-loss distribution line is determined by performing line loss related analysis based on the target line operating parameters, the loss reduction potential and the cause of high loss will be further determined, so that line loss control operations can be performed based on the obtained loss reduction potential parameters and high loss cause information. Compared with the conventional scheme of directly performing line loss control operations on high-loss distribution lines, since the basis for line loss control operations is more sufficient and reliable, the reliability of the results of line loss control operations can also be improved to a certain extent. Therefore, the problem of relatively low reliability of distribution line loss control in the prior art can be improved to a certain extent. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings.

[0047] Figure 1 A structural block diagram of an electronic device provided in an embodiment of the present application.

[0048] Figure 2 A flow chart of a method for controlling line loss in distribution lines provided in an embodiment of the present application.

[0049] Figure 3 A block diagram of a distribution line line loss control device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0050] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0051] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0052] like Figure 1 As shown, an embodiment of the present application provides an electronic device, wherein the electronic device may include a memory, a processor, and a distribution line line loss control device.

[0053] In detail, the memory and the processor are electrically connected directly or indirectly to achieve data transmission or interaction. For example, the memory and the processor can be electrically connected through one or more communication buses or signal lines. The distribution line line loss control device includes at least one software function module stored in the memory in the form of software or firmware. The processor is used to execute an executable computer program stored in the memory, for example, the software function modules and computer programs included in the distribution line line loss control device, so as to implement the distribution line line loss control method provided in the embodiment of the present application.

[0054] Optionally, the memory can be, but is not limited to, random access memory (RAM), read only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.

[0055] Furthermore, the processor may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), a system on chip (SoC), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0056] Understandably, Figure 1 The structure shown is for illustration only, and the electronic device may also include Figure 1 More or fewer components as shown, or with Figure 1 The different configurations shown, for example, may also include a communication unit for exchanging information with other devices (such as a server, etc.).

[0057] Combination Figure 2 The embodiment of the present application also provides a distribution line loss control method applicable to the above electronic device. The method steps defined in the process related to the distribution line loss control method can be implemented by the electronic device.

[0058] The following will Figure 2 The specific process shown is explained in detail.

[0059] Step S110: Based on the target line operation parameters of each distribution line to be analyzed, a line loss correlation analysis is performed on at least one distribution line to be analyzed to determine whether each distribution line to be analyzed is a high-loss distribution line.

[0060] In an embodiment of the present application, the electronic device can perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed to determine whether each distribution line to be analyzed belongs to a high-loss distribution line. Among them, the line loss parameters of the distribution lines to be analyzed that belong to the high-loss distribution lines are greater than the line loss parameters of the distribution lines to be analyzed that do not belong to the high-loss distribution lines, that is, the line loss parameters of the distribution lines to be analyzed that belong to the high-loss distribution lines are larger, and the line loss parameters of the distribution lines to be analyzed that do not belong to the high-loss distribution lines are smaller.

[0061] Step S120, when there is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, the loss reduction potential and high-loss cause of the distribution line to be analyzed are determined to obtain the loss reduction potential parameters and high-loss cause information corresponding to the distribution line to be analyzed.

[0062] In an embodiment of the present application, when there is a high-loss distribution line among the at least one distribution line to be analyzed, the electronic device can determine the loss reduction potential and high-loss cause of each distribution line to be analyzed that is a high-loss distribution line, and obtain the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed. The loss reduction potential parameter is used to reflect the extent to which the line loss parameter of the distribution line to be analyzed can be reduced, and the high-loss cause information is used to reflect the cause of the high line loss of the distribution line to be analyzed, that is, the factor that causes the high line loss of the distribution line to be analyzed.

[0063] Step S130, based on the corresponding loss reduction potential parameters and high-loss cause information, line loss control operations are performed on each distribution line to be analyzed that belongs to the high-loss distribution line.

[0064] In an embodiment of the present application, the electronic device can perform line loss control operations on each distribution line to be analyzed that belongs to a high-loss distribution line based on the corresponding loss reduction potential parameters and high-loss cause information. The line loss control operation at least includes determining a distribution line loss control scheme for reducing the distribution line loss of each distribution line to be analyzed that belongs to a high-loss distribution line, that is, the determined distribution line loss control scheme is related to the loss reduction potential parameters and high-loss cause information corresponding to the distribution line to be analyzed, so that the scheme is more reliable.

[0065] Based on the above content, after the high-loss distribution line is determined by performing line loss related analysis based on the target line operating parameters, the loss reduction potential and the cause of high loss will be further determined, so that line loss control operations can be performed based on the obtained loss reduction potential parameters and high loss cause information. Compared with the conventional scheme of directly performing line loss control operations on high-loss distribution lines, since the basis for line loss control operations is more sufficient and reliable, the reliability of the results of line loss control operations can also be improved to a certain extent. Therefore, the problem of relatively low reliability of distribution line loss control in the prior art can be improved to a certain extent.

[0066] First, it should be noted that for step S110, the specific method of determining whether each of the distribution lines to be analyzed is a high-loss distribution line is not limited and can be selected according to actual needs.

[0067] For example, in an alternative embodiment, in order to make the line loss related analysis more reliable so as to reliably determine whether the distribution line to be analyzed is a high-loss distribution line, the above-mentioned step S110 may further include step S111, step S112 and step S113, and the specific content of each step is described as follows.

[0068] Step S111, obtaining actual line loss parameters corresponding to each of at least one distribution line to be analyzed and corresponding at least one target line operation parameter.

[0069] In the embodiment of the present application, actual line loss parameters corresponding to each of at least one distribution line to be analyzed and at least one corresponding target line operation parameter may be obtained.

[0070] Step S112, for each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, using a predetermined target line loss analysis model corresponding to the distribution line to be analyzed, obtain a line loss prediction parameter corresponding to the distribution line to be analyzed.

[0071] In an embodiment of the present application, after obtaining the target line operating parameters corresponding to each distribution line to be analyzed, for each distribution line to be analyzed, based on at least one target line operating parameter corresponding to the distribution line to be analyzed, a target line loss analysis model corresponding to the distribution line to be analyzed that is predetermined can be used to obtain the line loss prediction parameters corresponding to the distribution line to be analyzed. Among them, the target line loss analysis model belongs to a model determined in the random forest regression model and the neural network model corresponding to the distribution line to be analyzed. In other words, two models, namely the random forest regression model and the neural network model, will be determined in advance, and then, in the actual use process, one of the models will be selected, such as selecting a model with better prediction effect, and then, the model will be used for analysis, so that the reliability of the obtained line loss prediction parameters can be higher.

[0072] Step S113 , respectively comparing and analyzing the corresponding actual line loss parameters and the line loss prediction parameters to determine whether each of the distribution lines to be analyzed is a high-loss distribution line.

[0073] In an embodiment of the present application, after obtaining the line loss prediction parameters corresponding to the distribution line to be analyzed, the corresponding actual line loss parameters and the line loss prediction parameters can be compared and analyzed respectively to determine whether each of the distribution lines to be analyzed belongs to a high-loss distribution line. In other words, the actual line loss parameters and the line loss prediction parameters will be combined so that when determining whether it belongs to a high-loss distribution line, the basis can be more sufficient to ensure reliable determination of whether it belongs to a high-loss distribution line.

[0074] It can be understood that, in the above step S111, the specific method of obtaining the actual line loss parameter and the target line operation parameter is not limited and can be selected according to actual needs.

[0075] For example, in an alternative implementation, in order to ensure that the obtained actual line loss parameters and target line operation parameters have higher reliability, the above-mentioned step S111 may further include step S111a, step S111b, step S111c and step S111d, each of which is described as follows.

[0076] Step S111a, obtaining actual line loss parameters corresponding to each of at least one distribution line to be analyzed.

[0077] In an embodiment of the present application, the actual line loss parameter corresponding to each of the at least one distribution line to be analyzed can be obtained, wherein the actual line loss parameter is determined based on the power supply at the head end of the distribution line to be analyzed and the power sales of the distribution transformer at the end of the line.

[0078] Step S111b: obtaining at least one original line operation parameter corresponding to each of the distribution lines to be analyzed.

[0079] In an embodiment of the present application, at least one original line operation parameter corresponding to each of the distribution lines to be analyzed can be obtained. Among them, the at least one original line operation parameter includes the power supply radius (such as the power supply radius of the 10kV line), the wire diameter of the main line, the total capacity of the distribution transformer, the power supply, the active integrated power at the head end of the line, the sum of the power consumption of the terminal distribution transformer, the average load rate of the distribution line, the average power factor of the distribution line, the average load rate of the distribution transformer, the proportion of the power factor of the distribution transformer below 0.9, the proportion of three-phase unbalanced distribution transformer, the proportion of distributed power supply online power, the proportion of high-energy consumption distribution transformer, and the proportion of the main line diameter thin. Exemplarily, in some embodiments, the 10kV line power supply radius can be obtained from the PMS system (Power Management System); in other embodiments, the distance of each distribution transformer from the head end of the distribution line can be calculated by the line segment length and the distribution line topology data, and the farthest distance from the head end of the distribution line is used as the power supply radius. In addition, if the distribution line topology data cannot be obtained, the sum of the lengths of each line segment can be calculated, and 1 / 2 of the total length of the line segment can be used as the power supply radius of the distribution line.

[0080] Step S111c, based on the actual line loss parameters corresponding to each of the distribution lines to be analyzed and at least one corresponding original line operation parameter, a first screening process is performed on the original line operation parameters to obtain candidate line operation parameters corresponding to each of the distribution lines to be analyzed.

[0081] In an embodiment of the present application, after determining the actual line loss parameter and the original line operation parameter, the original line operation parameter can be first screened based on the actual line loss parameter corresponding to each of the distribution lines to be analyzed and the corresponding at least one original line operation parameter, so as to obtain the candidate line operation parameter corresponding to each of the distribution lines to be analyzed. Wherein, the first screening process at least includes screening out at least one original line operation parameter among multiple original line operation parameters having the same or similar influence on the line loss, and retaining at least one original line operation parameter as a candidate line operation parameter; illustratively, in more data, there is a situation, such as a long power supply radius, a large total capacity of distribution transformers, and a high actual line loss parameter. It can be considered that the power supply radius and the total capacity of distribution transformers have the same or similar influence, so one of the power supply radius and the total capacity of distribution transformers can be retained. That is, among multiple original line operation parameters having the same or similar influence on the line loss, one (such as any one or selected according to a certain rule) can be selected as a candidate line operation parameter, so that the complexity of the data can be reduced to a certain extent while ensuring the reliability of subsequent analysis and processing.

[0082] Step S111d, based on the actual line loss parameters corresponding to each of the distribution lines to be analyzed and the corresponding at least one candidate line operating parameter, a second screening process is performed on the candidate line operating parameters to obtain the target line operating parameters corresponding to each of the distribution lines to be analyzed.

[0083] In an embodiment of the present application, after the candidate line operation parameters are screened out, in order to further improve data redundancy and other issues, the candidate line operation parameters can be subjected to a second screening process based on the actual line loss parameters corresponding to each of the distribution lines to be analyzed and the corresponding at least one candidate line operation parameter, so as to obtain the target line operation parameters corresponding to each of the distribution lines to be analyzed. The second screening process at least includes retaining the candidate line operation parameters with a higher degree of influence on the line loss as the target line operation parameters. The correlation analysis can be performed based on the candidate line operation parameters and the corresponding actual line loss parameters, and then the candidate line operation parameters with a high degree of correlation can be used as candidate line operation parameters with a high degree of influence for retention; or, when most of the parameters are the same or similar, there are a few (such as 1-2) parameters with large differences, and it can be considered that the corresponding degree of influence of the parameter is high, so it can be retained. It should be noted that larger and higher refer to exceeding a certain threshold, and similar refers to the difference being less than a preset value, etc.

[0084] It can be understood that, in the above step S112, the specific method of determining the line loss prediction parameters corresponding to the distribution line to be analyzed is not limited and can be selected according to actual needs.

[0085] For example, in an alternative embodiment, in order to ensure that the obtained line loss prediction parameters have a high reliability, the above-mentioned step S112 may further include step S112a, step S112b, step S112c, step S112d and step S112e, and the specific content of each step is described as follows.

[0086] Step S112a: based on at least one target line operation parameter corresponding to each of the distribution lines to be analyzed, clustering processing is performed on the at least one distribution line to be analyzed to obtain a target clustering result corresponding to the at least one distribution line to be analyzed.

[0087] In an embodiment of the present application, after determining the target line operating parameters, the at least one distribution line to be analyzed can be clustered based on at least one target line operating parameter corresponding to each of the distribution lines to be analyzed, to obtain a target clustering result corresponding to the at least one distribution line to be analyzed. Exemplarily, the specific method of clustering is not limited. For example, a fuzzy C-means (FCM) clustering algorithm can be used to divide the distribution lines into n categories, where n is between 2-6. In this way, the target clustering result can include 2-6 distribution line clustering clusters. For example, it can include a distribution line clustering cluster corresponding to a large power supply and a long power supply radius, and a distribution line clustering cluster corresponding to a large power supply and a short power supply radius, etc.

[0088] Step S112b, for each distribution line cluster in the target clustering result, obtain the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster, and based on the historical line loss parameters and the historical line operation parameters, train the initial random forest regression model and the initial neural network model to obtain the trained random forest regression model and the trained neural network model corresponding to the distribution line cluster.

[0089] In an embodiment of the present application, after obtaining the target clustering result, for each distribution line cluster in the target clustering result, the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster can be obtained, and based on the historical line loss parameters and the historical line operation parameters, the initial random forest regression model and the initial neural network model are trained to obtain the trained random forest regression model and the trained neural network model corresponding to the distribution line cluster. Each distribution line cluster includes at least one distribution line to be analyzed. It should be noted that the process of training the random forest regression model and the neural network model is not specifically limited here, and reference can be made to the relevant prior art.

[0090] Step S112c, for each distribution line cluster in the target clustering result, based on the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster, respectively determine the prediction error rate of the trained random forest regression model and the prediction error rate of the trained neural network model corresponding to the distribution line cluster.

[0091] In an embodiment of the present application, after obtaining the trained random forest regression model and the trained neural network model, for each distribution line cluster in the target clustering result, based on the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster, the prediction error rate of the trained random forest regression model and the prediction error rate of the trained neural network model corresponding to the distribution line cluster can be determined respectively. Exemplarily, the historical data can be divided into training data and verification data, that is, the training data can be used to perform corresponding model training to obtain the trained random forest regression model and the trained neural network model, and then, the verification data can be used to verify the trained random forest regression model and the trained neural network model to obtain the corresponding prediction error rate (such as the proportion of data with incorrect predictions, etc.).

[0092] Step S112d, based on the prediction error rate of the corresponding trained random forest regression model and the prediction error rate of the trained neural network model, in the corresponding trained random forest regression model and the trained neural network model, respectively determine the target line loss analysis model corresponding to each distribution line cluster.

[0093] In an embodiment of the present application, after obtaining the corresponding prediction error rate, the target line loss analysis model corresponding to each distribution line cluster can be determined in the corresponding trained random forest regression model and the trained neural network model, based on the prediction error rate of the corresponding trained random forest regression model and the prediction error rate of the trained neural network model. The target line loss analysis model belongs to one of the trained random forest regression model and the trained neural network model. Exemplarily, a model with a smaller corresponding prediction error rate can be used as the target line loss analysis model.

[0094] Step S112e, for each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, and using a target line loss analysis model corresponding to the distribution line cluster to which the distribution line to be analyzed belongs, obtain a line loss prediction parameter corresponding to the distribution line to be analyzed.

[0095] In an embodiment of the present application, after determining the corresponding target line loss analysis model, for each of the distribution lines to be analyzed, based on at least one target line operating parameter corresponding to the distribution line to be analyzed, the target line loss analysis model corresponding to the distribution line cluster to which the distribution line to be analyzed belongs is used to obtain the line loss prediction parameters corresponding to the distribution line to be analyzed. In other words, the target line loss analysis model corresponding to two distribution lines to be analyzed belonging to the same distribution line cluster is the same, and the target line loss analysis models corresponding to two distribution lines to be analyzed belonging to two different distribution line clusters are not the same. In this way, the adaptability of the target line loss analysis model can be further improved to ensure the reliability of the obtained line loss prediction parameters.

[0096] It can be understood that, in the above step S113, the specific method of comparing and analyzing the actual line loss parameters and the predicted line loss parameters is not limited and can be selected according to actual needs.

[0097] For example, in an alternative implementation, in order to ensure the reliability of the comparative analysis so that a more reliable high-loss distribution line determination result can be obtained, the above-mentioned step S113 may further include step S113a and step S113b, and the specific content of each step is described as follows.

[0098] Step S113a, for each of the distribution lines to be analyzed, respectively perform high-loss confirmation processing on the actual line loss parameters and the predicted line loss parameters corresponding to the distribution line to be analyzed, to obtain a first high-loss confirmation result and a second high-loss confirmation result corresponding to the distribution line to be analyzed.

[0099] In an embodiment of the present application, after obtaining the actual line loss parameters and the predicted line loss parameters, the actual line loss parameters and the predicted line loss parameters corresponding to each distribution line to be analyzed can be respectively processed for high loss confirmation to obtain a first high loss confirmation result and a second high loss confirmation result corresponding to the distribution line to be analyzed. Exemplarily, the actual line loss parameters and the predicted line loss parameters can be respectively compared with predetermined line loss reference parameters (which can be generated based on configuration operations performed by the user according to actual needs) to obtain the corresponding first high loss confirmation result and the second high loss confirmation result.

[0100] Step S113b, for each of the distribution lines to be analyzed, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, then it is determined that the distribution line to be analyzed belongs to a high-loss distribution line; if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, then it is determined that the distribution line to be analyzed does not belong to a high-loss distribution line.

[0101] In an embodiment of the present application, after obtaining the first high-loss confirmation result and the second high-loss confirmation result, for each of the distribution lines to be analyzed, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameter corresponding to the distribution line to be analyzed belongs to a high line loss parameter (such as greater than the line loss reference parameter), and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameter corresponding to the distribution line to be analyzed belongs to a high line loss parameter (such as greater than the line loss reference parameter), then it is determined that the distribution line to be analyzed belongs to a high-loss distribution line. If the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameter corresponding to the distribution line to be analyzed does not belong to a high line loss parameter (such as not greater than the line loss reference parameter), and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameter corresponding to the distribution line to be analyzed does not belong to a high line loss parameter (such as not greater than the line loss reference parameter), then it is determined that the distribution line to be analyzed does not belong to a high-loss distribution line.

[0102] Exemplarily, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed are high line loss parameters (such as greater than the line loss reference parameters), and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters (such as not greater than the line loss reference parameters), the distribution line to be analyzed can be verified for high loss by other means (such as offline manual inspection, etc.) to determine whether it is a high-loss distribution line.

[0103] Exemplarily, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters (such as not greater than the line loss reference parameters), and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the predicted line loss parameters corresponding to the distribution line to be analyzed belong to high line loss parameters (such as greater than the line loss reference parameters), it can also be determined that the distribution line to be analyzed does not belong to a high-loss distribution line.

[0104] Secondly, it should be noted that for step S120, the specific method for determining the loss reduction potential and the cause of high losses is not limited and can be selected according to actual needs.

[0105] For example, in an alternative embodiment, in order to ensure the reliability of the determination process of the loss reduction potential and the high loss cause, the above-mentioned step S120 may further include step S121 and step S122, and the specific content of each step is described as follows.

[0106] Step S121, when there is a high-loss distribution line in the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, based on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, determine the loss reduction potential parameters corresponding to the distribution line to be analyzed.

[0107] In an embodiment of the present application, after the high-loss distribution line is confirmed, and when there is a distribution line to be analyzed that belongs to a high-loss distribution line in the at least one distribution line to be analyzed, the loss reduction potential parameter corresponding to the distribution line to be analyzed can be determined for each distribution line to be analyzed that belongs to a high-loss distribution line based on the actual line loss parameter and the line loss prediction parameter corresponding to the distribution line to be analyzed. Wherein, the actual line loss parameter is determined based on the power supply at the line head end of the distribution line to be analyzed and the power sales volume of the distribution transformer at the end of the line, and the line loss prediction parameter is obtained by predicting the line loss based on the target line operation parameters of the distribution line to be analyzed (as described above), and there is a positive correlation between the loss reduction potential parameter and the actual line loss parameter, and there is a negative correlation between the loss reduction potential parameter and the line loss prediction parameter. Exemplarily, the difference between the actual line loss parameter and the line loss prediction parameter can be used as the loss reduction potential parameter corresponding to the distribution line to be analyzed.

[0108] Step S122, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to the high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter.

[0109] In an embodiment of the present application, after the high-loss distribution line is confirmed, and when there is a distribution line to be analyzed that belongs to a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to a high-loss distribution line among the at least one distribution line to be analyzed (such as a low-loss operating line, specifically, a distribution line to be analyzed whose actual line loss parameter and line loss prediction parameter are both less than a predetermined line loss economic parameter can be used as a low-loss operating line), for each distribution line to be analyzed that belongs to a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to a high-loss distribution line can be compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter. It should be noted that, as mentioned above, the distribution lines to be analyzed can be clustered, so that when determining the high-loss cause information, a low-loss operating line can be determined in the distribution line cluster to which the distribution lines to be analyzed belong, and then a comparative analysis is performed to determine the high-loss cause information. In addition, when comparing the target line operating parameters of the high-loss distribution circuit with the target line operating parameters of the low-loss operating line, the indicators with larger differences (a small number, such as 1-2) can be used as high-loss cause information. That is to say, for two distribution lines to be analyzed, among all the target line operating parameters, only a small number of target line operating parameters have a large difference, and the other differences are small. The target line operating parameters with larger differences can be used as the corresponding high-loss cause information. For example, the acquired target line operating parameters include the target line operating parameters corresponding to the power supply radius, the main line diameter, the total capacity of the distribution transformer, the power supply, the active integrated power at the head end of the line, the sum of the power consumption of the terminal distribution transformer, the average load rate of the distribution line, the average power factor of the distribution line, and the average load rate of the distribution transformer. Among them, between the high-loss distribution line and the low-loss operating line, only the difference between the target line operating parameters corresponding to the power supply radius is too large, and the differences between the target line operating parameters corresponding to other indicators are small. The power supply radius can be used as the high-loss cause information of the high-loss distribution line.

[0110] Exemplarily, "too large a difference" may mean that the indicator deviation exceeds 50%, where indicator deviation = (target line operating parameters corresponding to the high-loss distribution line - target line operating parameters corresponding to the low-loss operating line) / target line operating parameters corresponding to the low-loss operating line * 100%.

[0111] It can be understood that, in the above step S122, the specific method of comparing and analyzing the target line operation parameters to determine the high loss cause information is not limited and can be selected according to actual needs.

[0112] For example, in an alternative implementation, in order to more reliably determine the corresponding high-loss cause information, the above-mentioned step S122 may further include step S122a, step S122b and step S122c, and the specific content of each step is described as follows.

[0113] Step S122a, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determine whether there is a distribution line to be analyzed that is not a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs.

[0114] In an embodiment of the present application, when there is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, it can be determined whether there is a distribution line to be analyzed that is not a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs. The distribution line cluster is obtained by clustering the at least one distribution line to be analyzed according to the corresponding at least one target line operation parameter, and clustering can make the subsequent comparison accuracy higher.

[0115] Step S122b, for each distribution line to be analyzed that belongs to a high-loss distribution line, when there is a distribution line to be analyzed that does not belong to a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs, a difference comparison analysis is performed on at least one target line operating parameter corresponding to the distribution line to be analyzed that belongs to the high-loss distribution line and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line, so as to determine whether there are differential line operation indicators.

[0116] In an embodiment of the present application, for each distribution line to be analyzed that belongs to a high-loss distribution line, when there is a distribution line to be analyzed that does not belong to a high-loss distribution line (such as the aforementioned low-loss operating line) in the distribution line cluster to which the distribution line to be analyzed belongs, a difference comparison analysis is performed on at least one target line operating parameter corresponding to the distribution line to be analyzed that belongs to the high-loss distribution line and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line to determine whether there is a differential line operating index. The differential line operating index refers to a line operating index in which, among the at least one line operating index corresponding to the at least one target line operating parameter, the difference between the target line operating parameters of the corresponding two distribution lines to be analyzed is greater than the preset difference, as described above.

[0117] Step S122c, for each distribution line to be analyzed that is a high-loss distribution line, when the distribution line to be analyzed has a differential line operation index, the differential line operation index is used as the high-loss cause information corresponding to the distribution line to be analyzed.

[0118] In an embodiment of the present application, for each distribution line to be analyzed that is a high-loss distribution line, when the distribution line to be analyzed has a differential line operation index, the differential line operation index is used as the high-loss cause information corresponding to the distribution line to be analyzed.

[0119] Thirdly, it should be noted that for step S130, the specific method of performing line loss control operations based on the corresponding loss reduction potential parameters and high loss cause information is not restricted and can be selected according to actual needs.

[0120] For example, in an alternative embodiment, in order to perform more reliable line loss control operations based on corresponding loss reduction potential parameters and high loss cause information, the above-mentioned step S130 may further include step S131 and step S132, and the specific content of each step is described as follows.

[0121] Step S131, for each distribution line to be analyzed that is a high-loss distribution line, based on the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, determine the loss reduction assessment index corresponding to the distribution line to be analyzed.

[0122] In an embodiment of the present application, after determining the loss reduction potential parameter and high-loss cause information, for each distribution line to be analyzed that belongs to the high-loss distribution line, based on the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, the loss reduction assessment index corresponding to the distribution line to be analyzed can be determined. There is a positive correlation between the loss reduction assessment index and the loss reduction potential parameter, and there is a correlation between the loss reduction assessment index and the loss reduction method corresponding to the high-loss cause information, and the loss reduction method at least includes operating mode adjustment and equipment modification. Exemplarily, a corresponding loss reduction difficulty level can be determined based on the loss reduction method corresponding to the high-loss cause information, such as 1-5, where the larger the value, the more difficult the loss reduction. In this way, if it is necessary to prioritize the processing of the most difficult ones, the loss reduction assessment index can have a positive correlation with the loss reduction difficulty level. If it is necessary to prioritize the processing of the least difficult ones, the loss reduction assessment index can have a negative correlation with the loss reduction difficulty level. For example, the loss reduction potential parameter and the loss reduction difficulty level corresponding to the high loss cause information can be integrated (such as summing or weighted superposition, etc.) to obtain the corresponding loss reduction assessment index. In addition, the loss reduction difficulty level corresponding to the operation mode adjustment can be lower than the loss reduction difficulty level corresponding to the equipment transformation. For example, if the average load rate of the distribution transformer (too high) belongs to the high loss cause information, and the distribution line has a connecting line, part of the load can be cut and changed, such as only needing to open a switch of the line and close the connecting switch, which belongs to the operation mode adjustment, which is relatively easy. If the trunk line diameter (too thin) belongs to the high loss cause information, it is necessary to transform the line, including project establishment, fund application, equipment procurement, replacement of overhead line segments / cable segments (temporary power outages are also required), which belongs to equipment transformation, and the corresponding loss reduction processing is more complicated and relatively difficult.

[0123] Step S132: determining a distribution line loss control scheme for each of the at least one distribution line to be analyzed based on the loss reduction assessment index corresponding to each of the distribution lines to be analyzed.

[0124] In an embodiment of the present application, after obtaining the loss reduction assessment index, a distribution line loss control scheme for each of the at least one distribution line to be analyzed can be determined based on the loss reduction assessment index corresponding to each of the distribution lines to be analyzed. The distribution line loss control scheme includes at least priority information for performing distribution line loss reduction processing on the distribution lines to be analyzed. For example, distribution line loss reduction processing can be performed preferentially on distribution lines to be analyzed with large loss reduction potential and low loss reduction difficulty level.

[0125] Combination Figure 3The embodiment of the present application also provides a distribution line loss control device applicable to the above electronic device. The distribution line loss control device may include a line analysis module, a line loss analysis module and a line loss control module.

[0126] The line analysis module is used to perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed, so as to determine whether each distribution line to be analyzed belongs to a high-loss distribution line, wherein the line loss parameter of the distribution line to be analyzed that belongs to the high-loss distribution line is greater than the line loss parameter of the distribution line to be analyzed that does not belong to the high-loss distribution line. In the embodiment of the present application, the line analysis module can be used to perform Figure 2 As shown in step S110, the relevant contents of the line analysis module can refer to the above description of step S110.

[0127] The line loss analysis module is used to determine the loss reduction potential and high loss cause of each distribution line to be analyzed, when there is a high-loss distribution line among the at least one distribution line to be analyzed. The loss reduction potential parameter and high loss cause information corresponding to the distribution line to be analyzed are obtained, wherein the loss reduction potential parameter is used to reflect the extent to which the line loss parameter of the distribution line to be analyzed can be reduced, and the high loss cause information is used to reflect the reason why the distribution line to be analyzed has high line loss. In the embodiment of the present application, the line loss analysis module can be used to perform Figure 2 As shown in step S120, the relevant contents of the line loss analysis module can refer to the above description of step S120.

[0128] The line loss control module is used to perform line loss control operations on each distribution line to be analyzed that belongs to the high-loss distribution line based on the corresponding loss reduction potential parameters and high-loss cause information, wherein the line loss control operation at least includes determining a distribution line loss control scheme for performing distribution line loss reduction processing on each distribution line to be analyzed that belongs to the high-loss distribution line. In the embodiment of the present application, the line loss control module can be used to execute Figure 2 As shown in step S130, the relevant content of the line loss control module can refer to the description of step S130 in the previous text.

[0129] In an embodiment of the present application, corresponding to the above-mentioned distribution line loss control method applied to the electronic device, a computer-readable storage medium is also provided, in which a computer program is stored, and when the computer program is run, each step of the distribution line loss control method is executed. Among them, each step executed when the aforementioned computer program is run will not be repeated here one by one, and reference can be made to the above-mentioned explanation of the distribution line loss control method.

[0130] In summary, the distribution line line loss control method, device and electronic equipment provided in the present application can, firstly, perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters to determine whether each distribution line to be analyzed belongs to a high-loss distribution line; secondly, when there is a distribution line to be analyzed that belongs to a high-loss distribution line in at least one distribution line to be analyzed, for each distribution line to be analyzed that belongs to a high-loss distribution line, determine the loss reduction potential and high-loss cause of the distribution line to be analyzed to obtain corresponding loss reduction potential parameters and high-loss cause information; then, based on the corresponding loss reduction potential parameters and high-loss cause information, line line loss control operations can be performed. Based on the above content, after the high-loss distribution line is determined by performing line loss related analysis based on the target line operating parameters, the loss reduction potential and the cause of high loss will be further determined, so that line loss control operations can be performed based on the obtained loss reduction potential parameters and high loss cause information. Compared with the conventional scheme of directly performing line loss control operations on high-loss distribution lines, since the basis for line loss control operations is more sufficient and reliable, the reliability of the results of line loss control operations can also be improved to a certain extent. Therefore, the problem of relatively low reliability of distribution line loss control in the prior art can be improved to a certain extent.

[0131] In several embodiments provided in the embodiments of the present application, it should be understood that the disclosed device and method can also be implemented in other ways. The device and method embodiments described above are merely schematic, for example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the device, method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0132] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0133] If the function is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, an electronic device, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a disk or an optical disk. It should be noted that, in this article, the term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, article or device. Without more constraints, an element defined by the phrase "comprising a..." does not exclude the existence of other identical elements in the process, method, article or apparatus comprising the element.

[0134] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for controlling line loss in a distribution line, characterized in that: include: Based on the target line operation parameters of each distribution line to be analyzed, performing line loss related analysis on at least one distribution line to be analyzed to determine whether each of the distribution lines to be analyzed belongs to a high-loss distribution line, wherein the line loss parameter of the distribution line to be analyzed that belongs to the high-loss distribution line is greater than the line loss parameter of the distribution line to be analyzed that does not belong to the high-loss distribution line; When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, the loss reduction potential and the cause of high loss are determined for the distribution line to be analyzed to obtain loss reduction potential parameters and high-loss cause information corresponding to the distribution line to be analyzed, wherein the loss reduction potential parameters are used to reflect the extent to which the line loss parameters of the distribution line to be analyzed can be reduced, and the high-loss cause information is used to reflect the cause of high line loss in the distribution line to be analyzed; Based on the corresponding loss reduction potential parameters and high-loss cause information, a line loss control operation is performed on each distribution line to be analyzed that is a high-loss distribution line, wherein the line loss control operation at least includes determining a distribution line loss control scheme for performing distribution line loss reduction processing on each distribution line to be analyzed that is a high-loss distribution line; Among them, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determining the loss reduction potential and the high-loss cause of the distribution line to be analyzed, and obtaining the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, includes: When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, based on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, determine the loss reduction potential parameter corresponding to the distribution line to be analyzed, wherein the actual line loss parameter is determined based on the power supply at the line head end of the distribution line to be analyzed and the power sales of the distribution transformer at the line end, and the line loss prediction parameter is obtained by predicting the line loss based on the target line operation parameters of the distribution line to be analyzed, and there is a positive correlation between the loss reduction potential parameter and the actual line loss parameter, and there is a negative correlation between the loss reduction potential parameter and the line loss prediction parameter; When there is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to the high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter.

2. The distribution line line loss control method according to claim 1, characterized in that: The step of performing line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed to determine whether each distribution line to be analyzed is a high-loss distribution line includes: Acquire an actual line loss parameter corresponding to each of at least one distribution line to be analyzed and a corresponding at least one target line operation parameter; For each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, a line loss prediction parameter corresponding to the distribution line to be analyzed is obtained by using a predetermined target line loss analysis model corresponding to the distribution line to be analyzed, wherein the target line loss analysis model belongs to a model determined in a random forest regression model and a neural network model corresponding to the distribution line to be analyzed; The corresponding actual line loss parameters and the line loss prediction parameters are respectively compared and analyzed to determine whether each of the distribution lines to be analyzed is a high-loss distribution line.

3. The method for controlling line loss of distribution lines according to claim 2, characterized in that: The step of obtaining the actual line loss parameter corresponding to each of the at least one distribution line to be analyzed and the corresponding at least one target line operation parameter includes: Obtaining actual line loss parameters corresponding to each of at least one distribution line to be analyzed, wherein the actual line loss parameters are determined based on the power supply at the head end of the distribution line to be analyzed and the power sales of the distribution transformer at the end of the line; Obtain at least one original line operation parameter corresponding to each of the distribution lines to be analyzed, wherein the at least one original line operation parameter includes at least one of the following: power supply radius, trunk line diameter, total capacity of distribution transformer, power supply, active integrated power at the head end of the line, sum of power consumption of the terminal distribution transformer, average load rate of distribution line, average power factor of distribution line, average load rate of distribution transformer, proportion of distribution transformer power factor lower than 0.9, proportion of three-phase unbalanced distribution transformer, proportion of distributed power supply online power, proportion of high-energy-consuming distribution transformer, and proportion of thin trunk line diameter; Based on the actual line loss parameter corresponding to each of the distribution lines to be analyzed and the corresponding at least one original line operation parameter, a first screening process is performed on the original line operation parameters to obtain candidate line operation parameters corresponding to each of the distribution lines to be analyzed, wherein the first screening process at least includes screening out at least one original line operation parameter among a plurality of original line operation parameters having the same or similar influence on the line loss, and retaining at least one original line operation parameter as a candidate line operation parameter; Based on the actual line loss parameters corresponding to each of the distribution lines to be analyzed and at least one corresponding candidate line operating parameter, a second screening process is performed on the candidate line operating parameters to obtain target line operating parameters corresponding to each of the distribution lines to be analyzed, wherein the second screening process at least includes retaining the candidate line operating parameters that have a higher degree of influence on the line loss as the target line operating parameters.

4. The method for controlling line loss of distribution lines according to claim 2, characterized in that: The step of obtaining the line loss prediction parameter corresponding to the distribution line to be analyzed for each distribution line to be analyzed based on at least one target line operation parameter corresponding to the distribution line to be analyzed and using a predetermined target line loss analysis model corresponding to the distribution line to be analyzed comprises: Based on at least one target line operation parameter corresponding to each of the distribution lines to be analyzed, clustering the at least one distribution line to be analyzed to obtain a target clustering result corresponding to the at least one distribution line to be analyzed; For each distribution line cluster in the target clustering result, historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster are obtained, and based on the historical line loss parameters and the historical line operation parameters, the initial random forest regression model and the initial neural network model are trained to obtain the trained random forest regression model and the trained neural network model corresponding to the distribution line cluster, wherein each of the distribution line clusters includes at least one distribution line to be analyzed; For each distribution line cluster in the target clustering result, based on the historical line loss parameters and historical line operation parameters corresponding to each distribution line to be analyzed in the distribution line cluster, respectively determine the prediction error rate of the trained random forest regression model and the prediction error rate of the trained neural network model corresponding to the distribution line cluster; Based on the prediction error rate of the corresponding trained random forest regression model and the prediction error rate of the trained neural network model, in the corresponding trained random forest regression model and the trained neural network model, respectively determine the target line loss analysis model corresponding to each distribution line cluster, wherein the target line loss analysis model belongs to one of the trained random forest regression model and the trained neural network model; For each of the distribution lines to be analyzed, based on at least one target line operation parameter corresponding to the distribution line to be analyzed, a target line loss analysis model corresponding to the distribution line cluster to which the distribution line to be analyzed belongs is used to obtain a line loss prediction parameter corresponding to the distribution line to be analyzed.

5. The distribution line line loss control method according to claim 2, characterized in that: The step of comparing and analyzing the corresponding actual line loss parameters and the line loss prediction parameters to determine whether each of the distribution lines to be analyzed is a high-loss distribution line includes: For each of the distribution lines to be analyzed, respectively perform high-loss confirmation processing on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, to obtain a first high-loss confirmation result and a second high-loss confirmation result corresponding to the distribution line to be analyzed; For each of the distribution lines to be analyzed, if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed belong to high line loss parameters, then it is determined that the distribution line to be analyzed belongs to a high-loss distribution line; if the first high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the actual line loss parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, and the second high-loss confirmation result corresponding to the distribution line to be analyzed reflects that the line loss prediction parameters corresponding to the distribution line to be analyzed do not belong to high line loss parameters, then it is determined that the distribution line to be analyzed does not belong to a high-loss distribution line.

6. The method for controlling line loss of distribution lines according to claim 1, characterized in that: When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that is not a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that is not a high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter, including: When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determining whether there is a distribution line to be analyzed that is not a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs, wherein the distribution line cluster is obtained based on clustering the at least one distribution line to be analyzed according to at least one corresponding target line operation parameter; For each distribution line to be analyzed that belongs to a high-loss distribution line, when there is a distribution line to be analyzed that does not belong to a high-loss distribution line in the distribution line cluster to which the distribution line to be analyzed belongs, a difference comparison analysis is performed on at least one target line operation parameter corresponding to the distribution line to be analyzed that belongs to the high-loss distribution line and at least one target line operation parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line, so as to determine whether there is a differential line operation index, wherein the differential line operation index refers to a line operation index in which, among the at least one line operation index corresponding to the at least one target line operation parameter, the difference between the target line operation parameters of the corresponding two distribution lines to be analyzed is greater than a preset difference; For each distribution line to be analyzed that is a high-loss distribution line, when the distribution line to be analyzed has a differential line operation index, the differential line operation index is used as high-loss cause information corresponding to the distribution line to be analyzed.

7. The method for controlling line loss of distribution lines according to any one of claims 1 to 5, characterized in that: The step of performing line loss control operation on each distribution line to be analyzed that is a high-loss distribution line based on the corresponding loss reduction potential parameter and high-loss cause information includes: For each distribution line to be analyzed that is a high-loss distribution line, based on the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, a loss reduction assessment index corresponding to the distribution line to be analyzed is determined, wherein there is a positive correlation between the loss reduction assessment index and the loss reduction potential parameter, and there is a correlation between the loss reduction assessment index and the loss reduction method corresponding to the high-loss cause information, and the loss reduction method at least includes operation mode adjustment and equipment transformation; Based on the loss reduction assessment index corresponding to each of the distribution lines to be analyzed, a distribution line line loss control plan for each of the at least one distribution line to be analyzed is determined, wherein the distribution line line loss control plan includes at least priority information for performing distribution line line loss reduction processing on the distribution lines to be analyzed.

8. A distribution line line loss control device, characterized in that: include: A line analysis module, configured to perform line loss related analysis on at least one distribution line to be analyzed based on the target line operation parameters of each distribution line to be analyzed, so as to determine whether each distribution line to be analyzed belongs to a high-loss distribution line, wherein the line loss parameter of the distribution line to be analyzed that belongs to the high-loss distribution line is greater than the line loss parameter of the distribution line to be analyzed that does not belong to the high-loss distribution line; A line loss analysis module, for determining the loss reduction potential and high loss cause of each distribution line to be analyzed that is a high-loss distribution line, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, to obtain a loss reduction potential parameter and high loss cause information corresponding to the distribution line to be analyzed, wherein the loss reduction potential parameter is used to reflect the extent to which the line loss parameter of the distribution line to be analyzed can be reduced, and the high loss cause information is used to reflect the cause of the high line loss of the distribution line to be analyzed; A line loss control module, for performing line loss control operations on each distribution line to be analyzed that is a high-loss distribution line based on corresponding loss reduction potential parameters and high-loss cause information, wherein the line loss control operations at least include determining a distribution line loss control scheme for performing distribution line loss reduction processing on each distribution line to be analyzed that is a high-loss distribution line; Wherein, when there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, determining the loss reduction potential and the high-loss cause of the distribution line to be analyzed, and obtaining the loss reduction potential parameter and high-loss cause information corresponding to the distribution line to be analyzed, including: When there is a distribution line to be analyzed that is a high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, based on the actual line loss parameters and the line loss prediction parameters corresponding to the distribution line to be analyzed, determine the loss reduction potential parameter corresponding to the distribution line to be analyzed, wherein the actual line loss parameter is determined based on the power supply at the line head end of the distribution line to be analyzed and the power sales of the distribution transformer at the line end, and the line loss prediction parameter is obtained by predicting the line loss based on the target line operation parameters of the distribution line to be analyzed, and there is a positive correlation between the loss reduction potential parameter and the actual line loss parameter, and there is a negative correlation between the loss reduction potential parameter and the line loss prediction parameter; When there is a high-loss distribution line among the at least one distribution line to be analyzed, and when there is a distribution line to be analyzed that does not belong to the high-loss distribution line among the at least one distribution line to be analyzed, for each distribution line to be analyzed that is a high-loss distribution line, at least one target line operating parameter corresponding to the distribution line to be analyzed and at least one target line operating parameter corresponding to the distribution line to be analyzed that does not belong to the high-loss distribution line are compared and analyzed to determine the corresponding high-loss cause information in the at least one target line operating parameter.

9. An electronic device, characterized in that: include: Memory for storing computer programs; A processor connected to the memory is used to execute a computer program stored in the memory to implement the distribution line line loss control method described in any one of claims 1 to 7.

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