A method and system for detecting line loss in a distribution network

Abstract

The present invention relates to the technical field of line loss detection, and in particular to a distribution network line loss detection method and system, which introduces dynamic testing and multi-factor correction means to avoid the limitation of assuming that power grid load characteristics remain unchanged in traditional methods, and can accurately evaluate the actual line loss situation of the distribution network, help power grid operators optimize operation strategies, and improve energy utilization efficiency and economic benefits. The method comprises: obtaining an initial baseline line loss rate and a design limit load of a distribution network line to be detected; based on a preset test load sequence, testing the distribution network line to be detected, and collecting real-time line loss rates under each test load level; the test load sequence includes a plurality of different test load instructions, each test load instruction consists of a test load value and a test duration; statistically analyzing a plurality of collected real-time line loss rates, and obtaining a stage line loss rate within a corresponding time period of the test load sequence.

Description

Technical Field

[0001] The present invention relates to the technical field of line loss detection, and in particular to a method and system for detecting line loss in a distribution network. Background Art

[0002] In the power system, the distribution network is a key link in the transmission and distribution of electric energy. Its operating efficiency and stability are directly related to the reliability and economy of the entire power grid. However, in the actual operation of the distribution network, due to various factors such as equipment aging, load fluctuations, and poor management, it often leads to losses in the process of power transmission, the so-called "line loss". Line loss will not only reduce the energy utilization efficiency of the power grid and increase operating costs, but may also pose a threat to the safe and stable operation of the power grid. Therefore, accurate and efficient detection of line loss in the distribution network is of great significance for optimizing the operation of the power grid and improving the efficiency of energy utilization.

[0003] Most of the existing distribution network line loss detection methods use the changes in electricity meter readings over a period of time to infer the line loss situation. The disadvantage is that the existing methods assume that the load characteristics of the power grid remain unchanged, ignoring the impact of factors such as power grid equipment aging, load fluctuations and seasonal environmental changes, resulting in inaccurate line loss assessment results. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a distribution network line loss detection method and system which introduces dynamic testing and multi-factor correction means to avoid the limitation of assuming that the load characteristics of the power grid remain unchanged in the traditional method, can accurately evaluate the actual line loss of the distribution network, help power grid operators optimize operation strategies, and improve energy utilization efficiency and economic benefits.

[0005] In a first aspect, the present invention provides a distribution network line loss detection method, the method comprising: obtaining an initial baseline line loss rate and a design limit load of a distribution network line to be detected; based on a preset test load sequence, testing the distribution network line to be detected, and collecting real-time line loss rates at each test load level; the test load sequence comprises a number of different test load instructions, each test load instruction consisting of a test load value and a test duration; statistically analyzing the collected multiple real-time line loss rates to obtain a stage line loss rate within a corresponding time period of the test load sequence; based on the design limit load of the distribution network line to be detected, performing a limit test on the line with a preset limit test duration to obtain a limit line loss rate of the distribution network line to be detected; correcting the stage line loss rate and the limit line loss rate to obtain a stage corrected line loss rate and a limit corrected line loss rate; using the initial baseline line loss rate, the stage corrected line loss rate and the limit corrected line loss rate as inputs, inputting them into a distribution network line loss evaluation model, and calculating a distribution network line loss evaluation index; judging whether the distribution network line to be detected has abnormal line loss based on a preset line loss evaluation threshold and the distribution network line loss evaluation index.

[0006] Furthermore, the method for correcting the stage line loss rate and the limit line loss rate includes:

[0007] Collect the equipment life status of each key component in the distribution network line to be tested, summarize and integrate them, and obtain the key component life feature set;

[0008] Based on the preset key component weight set, a comprehensive weighted calculation is performed on the key component life feature set to obtain the life influencing parameters;

[0009] Collect the operating environment of the distribution network line to be tested, extract environmental features, and obtain a set of line operating environment impact features;

[0010] Conduct correlation analysis on the line operation environmental impact feature set to obtain environmental impact parameters;

[0011] Combine the life influencing parameters and the environmental influencing parameters to correct the stage line loss rate and obtain the stage corrected line loss rate;

[0012] The limit line loss rate is corrected by combining the life influencing parameters and the environmental influencing parameters to obtain the limit corrected line loss rate.

[0013] Furthermore, the method for obtaining the stage line loss rate includes:

[0014] Collect real-time line loss rate data collected at different test load levels, check data integrity, and classify and sort the data by test load level;

[0015] The standard deviation method is used to identify and remove outliers that are significantly deviated from the normal range, and the standard deviation of the real-time line loss rate at each test load level is calculated;

[0016] For each test load level, a simple arithmetic average is used to obtain the average value of the real-time line loss rate;

[0017] Based on the average line loss rate at each test load level, the stage line loss rate in the corresponding time period of the test load sequence is calculated.

[0018] Furthermore, the method for constructing the distribution network line loss evaluation model includes:

[0019] Collect historical line loss data of the distribution network, equipment life status data of key components and operating environment data;

[0020] Remove duplicate data, handle missing values ​​and correct erroneous data, and convert data of different dimensions to the same scale;

[0021] The linear model is selected as the basic framework of the distribution network line loss evaluation model;

[0022] The collected data set is divided into a training set and a test set. The training set data is used to train the distribution network line loss evaluation model, and the test set data is used to verify the generalization ability of the distribution network line loss evaluation model.

[0023] The trained distribution network line loss evaluation model is deployed to the production environment, and the initial baseline line loss rate, stage correction line loss rate and limit correction line loss rate are input to calculate the distribution network line loss evaluation index.

[0024] Furthermore, the life influencing parameter is:

[0025] ;

[0026] in, represents the life-span influencing parameter, It is The weight of the key components, It is The equipment life status of each key component, is the number of critical components;

[0027] The correction line loss rate in the above stage is:

[0028] ;

[0029] in, Indicates the stage correction line loss rate, represents the stage line loss rate, Indicates lifespan influencing parameters; Indicates environmental impact parameters;

[0030] The limit correction line loss rate is:

[0031] ;

[0032] in, represents the limit correction line loss rate, represents the limit line loss rate, Indicates lifespan influencing parameters; Represents environmental impact parameters.

[0033] Furthermore, the calculation formula of the stage line loss rate is:

[0034] ;

[0035] in, represents the stage line loss rate, Indicates the test duration. Indicates the average line loss rate.

[0036] Furthermore, the distribution network line loss evaluation index is:

[0037] ;

[0038] in, It represents the distribution network line loss evaluation index. represents the initial baseline line loss rate, Indicates The weight of the line loss rate correction in each stage, It is Corrected line loss rate in the current stage.

[0039] On the other hand, the present application also provides a distribution network line loss detection system, the system comprising:

[0040] A data acquisition module is used to obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested;

[0041] The test control module is used to adjust the load level of the distribution network line to be tested according to a preset test load sequence, and record each test load level and its corresponding test duration;

[0042] Real-time monitoring module, used to continuously monitor and collect real-time line loss rate at each test load level during the test;

[0043] The data analysis module is used to perform statistical analysis on the collected multiple real-time line loss rates and calculate the stage line loss rate in the corresponding time period of the test load sequence;

[0044] The limit test module performs a limit test of a preset duration based on the design limit load of the distribution network line to be tested, and obtains the limit line loss rate of the distribution network line to be tested;

[0045] The correction processing module is used to correct the stage line loss rate and the limit line loss rate, taking into account the factors of equipment aging, load fluctuation and seasonal environmental changes, to obtain the stage corrected line loss rate and the limit corrected line loss rate;

[0046] The line loss evaluation model module is used to use the initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate as input parameters, and calculate the distribution network line loss evaluation index through the pre-trained distribution network line loss evaluation model;

[0047] The decision support module determines whether there is abnormal line loss in the distribution network line to be tested based on the preset line loss evaluation threshold and the calculated distribution network line loss evaluation index, and outputs corresponding decision suggestions.

[0048] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0049] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0050] Compared with the prior art, the present invention has the following beneficial effects: by using a preset test load sequence, different load levels and durations can be simulated, so as to fully understand the performance of the distribution network under different working conditions; the line loss rate under different test load levels is collected in real time, so as to timely discover and analyze the changing trend of line loss, and improve the accuracy and response speed of detection; by statistically analyzing the data collected during the test, the stage line loss rate is obtained, which can reflect the actual line loss situation of the distribution network in a specific time period; an extreme test based on the designed limit load is carried out to obtain the line loss performance of the distribution network under extreme conditions, so as to facilitate the evaluation of the operating capacity of the power grid under the maximum load; the stage line loss rate and the limit line loss rate are compared and analyzed. Correction takes into account the influence of factors such as equipment aging, load fluctuations and seasonal environmental changes, and improves the assessment ability of line loss assessment; comprehensively analyzes the initial baseline line loss rate, stage correction line loss rate and limit correction line loss rate, and gives a comprehensive line loss evaluation index; based on the preset line loss evaluation threshold and the calculated distribution network line loss evaluation index, it is determined whether there is line loss abnormality in the distribution network line to be tested, so as to facilitate timely measures to prevent potential problems from worsening; by introducing dynamic testing and multi-factor correction methods, it avoids the limitation of assuming that the load characteristics of the power grid remain unchanged in traditional methods, and can accurately evaluate the actual line loss of the distribution network, help power grid operators optimize operation strategies, and improve energy efficiency and economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 is a flow chart of the present invention;

[0052] Figure 2 It is a flow chart of the construction method of the distribution network line loss evaluation model;

[0053] Figure 3 It is a structural diagram of a distribution network line loss detection system. DETAILED DESCRIPTION

[0054] In the description of this application, those skilled in the art should know that this application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, this application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, this application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0055] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0056] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0057] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0058] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0059] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0060] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0061] The present application is described below in conjunction with the drawings in the present application.

[0062] Embodiment 1: Figure 1 to Figure 2 As shown, a distribution network line loss detection method of the present invention specifically includes the following steps:

[0063] S1. Obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested;

[0064] Step S1 is to obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested, providing basic data support for subsequent testing and analysis; the details are as follows:

[0065] The initial baseline line loss rate refers to the inherent and relatively stable line loss rate of the distribution network when the distribution network is in normal operation and there is no significant load fluctuation, equipment aging or environmental changes. The initial baseline line loss rate reflects the energy transmission efficiency of the line under ideal conditions and is one of the basic data for subsequent detection and analysis.

[0066] The method for obtaining the initial baseline line loss rate includes:

[0067] Historical data analysis: by analyzing the changes in the meter readings over a period of time, combined with the load level, equipment status and environmental conditions at the time, the average line loss rate during the period is calculated; historical data analysis is applicable to situations where historical data is available, reflecting the line loss situation of the line under actual operating conditions;

[0068] Theoretical calculation uses theoretical data such as the topological structure of the power grid, equipment parameters and load characteristics to calculate the theoretical line loss rate through mathematical models or simulation software. Theoretical calculation is suitable for newly built lines or when there is a lack of sufficient historical data, and provides a theoretical line loss rate as a reference.

[0069] Expert evaluation: Invite experienced power grid engineers or experts to conduct professional evaluation of the initial baseline line loss rate based on on-site survey and data analysis results; expert evaluation combines practical experience and technical knowledge to provide a relatively accurate initial baseline line loss rate;

[0070] The results obtained by the above methods are comprehensively compared and analyzed to determine a relatively accurate and reliable initial baseline line loss rate. The accuracy of the initial baseline line loss rate can be improved by combining the results of multiple methods.

[0071] The design limit load refers to the maximum load value that the distribution network line can withstand during design. The design limit load reflects the operating capacity of the line under extreme conditions and ensures the safe and stable operation of the power grid.

[0072] The method for obtaining the design limit load includes:

[0073] Check the design documents. Directly check the design documents or technical specifications of the distribution network line to obtain the specific value of the design limit load. Checking the design documents is simple and direct, and is suitable for situations where clear design documents are available.

[0074] Calculation derivation: When the design documents are incomplete or the design limit load cannot be directly obtained, theoretical calculation or derivation is performed by analyzing the material, structure, size and other parameters of the line in combination with relevant standards and specifications. Calculation derivation is suitable for the lack of clear design documents and can provide a theoretical design limit load as a reference.

[0075] Experimental testing: When conditions permit, the load on the line is gradually increased through experimental testing methods until it reaches its limit state, thereby determining the design limit load.

[0076] The initial baseline line loss rate and design limit load are obtained through multiple methods to ensure the accuracy of the data; the results of multiple methods are combined to improve the reliability and accuracy of the data; historical data analysis can reflect the actual operation situation, theoretical calculation is applicable to newly built lines or the lack of sufficient historical data, and expert evaluation is combined with practical experience and technical knowledge; different methods are applicable to different situations, which improves the practicality and flexibility of data acquisition; the establishment of the design limit load takes into account the safety margin to ensure the safe operation of the distribution network under extreme conditions; the determination of the design limit load through experimental testing can provide a direct verification method; accurate initial baseline line loss rate helps to optimize the grid operation strategy, reduce energy loss and improve energy efficiency; reasonable design The limit load helps to avoid over-investment and reduce construction and renovation costs; the design limit load is obtained by consulting design documents, calculation deduction, experimental testing and other methods, which can adapt to different actual situations; the combined use of multiple acquisition methods improves the flexibility of the entire detection process; the acquisition of the initial baseline line loss rate covers methods such as historical data analysis, theoretical calculation and expert evaluation to ensure the comprehensiveness of the data; the method for obtaining the design limit load takes into account multiple channels such as design documents, calculation deduction and experimental testing to ensure the comprehensiveness of the data; step S1 obtains the initial baseline line loss rate and design limit load through multiple methods to improve the accuracy of the data, ensure the practicality and flexibility of the entire detection process, and provide a data basis for subsequent line loss detection and analysis.

[0077] S2. Based on a preset test load sequence, the distribution network line to be tested is tested, and the real-time line loss rate under each test load level is collected; the test load sequence includes a number of different test load instructions, each test load instruction consists of a test load value and a test duration;

[0078] Step S2 is to measure the real-time line loss rate of the distribution network line under a given test load sequence and evaluate the line loss situation under different load levels; the details are as follows:

[0079] The method for determining the test load sequence includes:

[0080] The test load sequence covers different levels of load from low to high, which is convenient for comprehensive evaluation of line loss. The determination method is as follows:

[0081] Based on the initial baseline line loss rate, including: the initial baseline line loss rate reflects the energy transmission efficiency of the line under ideal conditions; the initial baseline line loss rate is determined according to historical data, theoretical calculations or expert evaluation results; the initial baseline line loss rate is used as a reference point for the design of the test load sequence, that is, the test load sequence should cover load levels lower than, equal to and higher than the baseline line loss rate;

[0082] Based on the design limit load, including: the design limit load is the maximum load value that the distribution network line can withstand during design, representing the operating capacity of the distribution network under extreme conditions; the test load sequence covers different load levels from lower load to close to the design limit load, so as to evaluate the performance of the line under different load conditions;

[0083] The construction of the test load sequence includes: the test load sequence contains a series of test load instructions, each instruction consists of a test load value and a test duration; the test load value starts from a low load, and the load is applied to the distribution network line in sequence according to a predetermined test load sequence until it approaches the design limit load; the test load sequence is divided according to a certain proportion, such as 20%, 40%, 60%, 80% and 100% of the design limit load to ensure that a wide range of loads is covered; the design of the test load sequence takes into account the common load levels in actual operation to ensure that the test results are representative;

[0084] The data collection method includes: using an electric energy meter to monitor and record the real-time line loss rate at each test load level; data collection lasts for a sufficient period of time at each test load level to ensure the accuracy of the data; during the data collection process, attention should be paid to avoiding external interference to ensure the reliability of the data; ensuring accurate recording of the line loss rate and other related measurement data at each test load level for subsequent statistical analysis;

[0085] The method for setting the test load level includes: gradually adjusting the load level of the distribution network line according to the designed test load sequence; waiting for a period of time after each load adjustment until a stable state is reached before collecting data; and repeating multiple measurements at each test load level to ensure the comprehensiveness of the test.

[0086] By covering different levels of load from low to high, the line loss of the distribution network under different load conditions is comprehensively evaluated, which is convenient for understanding the performance of the power grid under various operating conditions; the design of the test load sequence takes into account the common load levels in actual operation to ensure that the test results are closer to the actual situation and improve the representativeness and practicality of the test results. The test load sequence is divided proportionally according to the design limit load to ensure that the test load sequence covers a wide range of loads, which helps to find potential problem points; during the data collection process, it is ensured that each test load level reaches a stable state before data collection is carried out to improve the accuracy of the data; avoiding external interference and repeated measurements can further improve the reliability and accuracy of the data; the initial baseline line loss rate is used as a reference point for the design of the test load sequence to ensure that the test The test took into account extreme conditions as well as line losses under normal operating conditions; the test load sequence covers different load levels close to the design limit load, which is convenient for evaluating the performance of the distribution network under extreme conditions and ensuring the safe and stable operation of the power grid; the design of the test load sequence takes into account common load levels in actual operation and adjusts them as needed to make the test method more flexible and adaptable to different situations; through clear test load sequence design rules and data collection methods, the standardization of the test process is ensured, which facilitates the repeatability of the test results; the test load sequence design method can effectively evaluate the line loss of the distribution network under different load conditions, provide a data basis for subsequent statistical analysis, optimize power grid operation, improve energy utilization efficiency, and ensure the safe and stable operation of the power grid.

[0087] S3. Statistically analyze the collected multiple real-time line loss rates to obtain the stage line loss rate in the corresponding time period of the test load sequence;

[0088] Step S3 is to perform statistical analysis on the collected multiple real-time line loss rates to obtain the stage line loss rate in the corresponding time period of the test load sequence, as follows:

[0089] S31. Collect all real-time line loss rate data collected under different test load levels, check the data integrity, and classify and sort the data according to the test load level;

[0090] S32. Use the standard deviation method or box plot method in statistical methods to identify and remove outliers that are significantly deviated from the normal range; when using the standard deviation method, calculate the standard deviation of the real-time line loss rate at each test load level, and remove data points that are outside the mean plus or minus several times the standard deviation; or when using the box plot method, draw a box plot to identify and remove data points that are outside the lower and upper limits; the removal of outliers reduces the impact of abnormal data on the results;

[0091] S33. For each test load level, a simple arithmetic average is used, that is, the sum of the real-time line loss rates under all test load levels is divided by the number of tests to obtain the average value of the real-time line loss rate. Considering the influence of the test duration, a weighted average is used, where the weight is the proportion of the test duration, to calculate the corresponding average value of the real-time line loss rate;

[0092] S34. Analyze the changing trend of the line loss rate under each test load level, use a scatter plot to show the change of the line loss rate with the load or perform regression analysis, such as linear regression or polynomial regression, to quantify the relationship between the line loss rate and the load, and determine the relationship between the line loss rate and the load;

[0093] S35. Based on the average line loss rate at each test load level, calculate the stage line loss rate in the corresponding time period of the entire test load sequence; use the weighted average method, where the weight can be the proportion of the test time or other important factors related to the test conditions;

[0094] The calculation formula of line loss rate in the above stage is:

[0095] ;

[0096] in, represents the stage line loss rate, Indicates the test duration. It represents the average line loss rate;

[0097] S36, performing error analysis on the calculated stage line loss rate to evaluate the reliability and accuracy of the statistical analysis results;

[0098] S37. Verify the rationality of the stage line loss rate by comparing it with historical data or theoretical calculation results.

[0099] By collecting real-time line loss rate data at different test load levels, the line loss of the distribution network under various load conditions is comprehensively evaluated, so as to accurately understand the performance of the power grid; the standard deviation method or box plot method is used to identify and remove outliers, reduce the impact of abnormal data on the results, and improve the accuracy of the data; by calculating the average value of the real-time line loss rate at each test load level, and considering the impact of the test time, the weighted average method is used to improve the reliability of the results; the trend of line loss rate changing with load is analyzed to reveal the quantitative relationship between line loss rate and load, and provide a basis for power grid optimization; the weighted average method is used when calculating the stage line loss rate, and the weights are used to calculate the average value of the real-time line loss rate. The weight is the proportion of test time or other important factors, and the influence of test time on line loss rate under different load levels is considered to make the result more objective; the calculated stage line loss rate is analyzed for error, the reliability and accuracy of statistical analysis results are evaluated, and the accuracy of evaluation is improved; by comparing with historical data or theoretical calculation results, the rationality of stage line loss rate is verified, and the validity and credibility of evaluation results are improved; step S3 has the advantages of high data accuracy, comprehensive systematic evaluation, in-depth quantitative analysis, significant efficiency, strong decision-making support, feasible continuous improvement and strong adaptability in solving the problem of real-time line loss rate testing and evaluation of distribution network.

[0100] S4. Based on the design limit load of the distribution network line to be tested, perform a limit test on the line for a preset limit test duration to obtain a limit line loss rate of the distribution network line to be tested;

[0101] Step S4 performs a limit test on the line based on the design limit load of the distribution network line to be tested with a preset limit test duration to obtain the limit line loss rate of the distribution network line to be tested; the details are as follows:

[0102] S41. Design limit load is the maximum load value that the distribution network line can bear during design, representing the operating capacity of the distribution network under extreme conditions; the design limit load is determined by the power grid design specifications or data provided by the manufacturer;

[0103] S42. The limit test duration is set according to actual conditions and experience. The limit test duration needs to be long enough to allow the distribution network to reach a stable state, but should not be too long to reduce unnecessary interference to the operation of the distribution network;

[0104] S43. Apply the design limit load to the distribution network line within the limit test duration; during the test, ensure that the applied load value reaches the design limit load to improve the reliability of the test results;

[0105] S44. During the application of the design limit load, the electric energy meter shall be used to monitor and record the real-time line loss rate; data collection shall be carried out after the distribution network reaches a stable state to ensure the accuracy of the data; during the data collection process, care shall be taken to avoid external interference to ensure the reliability of the data;

[0106] S45. Ensure accurate recording of line loss rate and other related measurement data under limit test; organize the collected data to ensure the integrity and accuracy of the data; use the standard deviation method or box plot method to identify and remove abnormal values ​​that are obviously deviated from the normal range to reduce the impact of abnormal data on the final results;

[0107] S46. Calculate the corresponding average line loss rate for the real-time line loss rate data under the design limit load; use simple arithmetic mean by dividing the sum of the real-time line loss rates under all design limit loads by the number of tests; consider the influence of the test duration, use weighted average, where the weight is the proportion of the test duration;

[0108] Considering the influence of test duration, the limit line loss rate is calculated by weighted average method. The mathematical expression is as follows:

[0109] ;

[0110] in, represents the limit line loss rate, It is The test duration for each data point, Indicates the real-time line loss rate under the maximum load.

[0111] Through the extreme test, the performance data of the distribution network under extreme conditions is obtained to ensure the safe and stable operation of the power grid. When facing extreme weather events or sudden large load demands, it is evaluated whether the power grid can withstand the load pressure under these extreme conditions; by ensuring that the applied load value reaches the design limit load, the reliability of the test results is improved; the actual performance of the distribution network under the design limit load is verified to ensure that the power grid still maintains stable operation under harsh conditions; data collection is carried out after the distribution network reaches a stable state to ensure the accuracy of the data, eliminate errors caused by the instability of the distribution network, and ensure the reliability and comparability of the data; by removing outliers, the impact of abnormal data on the final result is reduced, and the accuracy of the result is improved; the limit line loss rate is calculated by the weighted average method, and the impact of the test time is considered to improve the reliability of the result; the setting of the limit test time is adjusted according to actual conditions and experience to improve the flexibility of the test; the limit test evaluates the line loss situation under extreme conditions, helps identify potential problem points, and facilitates taking measures in advance to prevent faults; step S4 has the advantages of direct targeting, scientificity, systematicity, practicality, repeatability, data-driven decision-making and prevention in solving the line loss problem of the distribution network, and improves the operation efficiency and stability of the distribution network.

[0112] S5. Correcting the stage line loss rate and the limit line loss rate to obtain the stage corrected line loss rate and the limit corrected line loss rate;

[0113] Step S5 corrects the stage line loss rate and the limit line loss rate to obtain the stage corrected line loss rate and the limit corrected line loss rate; the details are as follows:

[0114] S51, collecting the equipment life status of each key component in the distribution network line to be detected, and summarizing and integrating them to obtain a key component life feature set;

[0115] S52, performing comprehensive weighted calculation on the key component life feature set based on a preset key component weight set to obtain a life influencing parameter;

[0116] S53, collecting the operating environment of the distribution network line to be detected, and extracting environmental features to obtain a set of line operating environment impact features;

[0117] S54, performing correlation analysis on the line operation environment impact feature set to obtain environmental impact parameters;

[0118] S55, combining the life influencing parameter and the environmental influencing parameter, correcting the stage line loss rate to obtain the stage corrected line loss rate;

[0119] S56. Correcting the limit line loss rate by combining the life influencing parameter and the environmental influencing parameter to obtain a limit corrected line loss rate;

[0120] Specifically, step S51 is used to collect and integrate the life information of key components to provide basic data for subsequent analysis; including: according to the structure and importance of the distribution system, select key components that affect the overall performance of the distribution network, such as transformers, cables and switchgear, etc. to collect the life data of key components, including installation date, last maintenance date and estimated remaining life, etc.; summarize the collected data and ensure the consistency and integrity of the data; organize the life data of all key components to form a key component life feature set;

[0121] Step S52 is to calculate the life influence parameter using the collected life data; including: defining a weight value for each key component, the weight reflects the relative importance of the component in the entire system; using these weight values ​​to perform weighted calculation on the life characteristics of each component; summarizing the weighted data to obtain the life influence parameter, the life influence parameter reflects the degree of influence of the overall life status of the key component on the line loss;

[0122] The life-influencing parameters are:

[0123] ;

[0124] in, represents the life-span influencing parameter, It is The weight of the key components, It is The equipment life status of each key component, is the number of critical components;

[0125] Step S53 is to pay attention to the actual operating environment of the distribution line, because external environmental factors will also affect the line loss; including: collecting environmental data through sensors or on-site surveys; extracting features that affect the line loss from the collected data, such as temperature changes, wind speed and precipitation; sorting and summarizing all relevant environmental features to form an environmental impact feature set;

[0126] Step S54 is to quantify the relationship between environmental factors and line loss; including: using statistical methods, such as Pearson correlation coefficient or Spearman rank correlation coefficient, to analyze the correlation between different environmental characteristics and line loss; identifying those environmental characteristics that have a significant impact on line loss; and calculating environmental impact parameters based on the results of the correlation analysis for subsequent line loss correction;

[0127] Step S55 combines the information obtained in the first two steps to correct the line loss rate in a specific time period; including: combining the life impact parameter and the environmental impact parameter into a comprehensive impact factor; using the comprehensive impact factor to adjust the original stage line loss rate to obtain a corrected stage line loss rate;

[0128] The correction line loss rate in the above stage is:

[0129] ;

[0130] in, Indicates the stage correction line loss rate, represents the stage line loss rate, Indicates lifespan influencing parameters; Indicates environmental impact parameters;

[0131] Step S56 is for the line loss rate under extreme conditions; including: clarifying the working state and environmental conditions of each key component under extreme conditions; using the comprehensive influencing factor again to correct the line loss rate under extreme conditions; calculating the extreme corrected line loss rate after considering the life and environmental factors;

[0132] The limit correction line loss rate is:

[0133] ;

[0134] in, represents the limit correction line loss rate, represents the limit line loss rate, Indicates lifespan influencing parameters; Represents environmental impact parameters.

[0135] By considering the life status of key components and the influence of the operating environment, the corrected line loss rate accurately reflects the actual line loss situation; the correction process takes into account the aging degree of equipment and the influence of the operating environment, making the evaluation more comprehensive; by analyzing the life status and operating environment characteristics of key components, targeted maintenance and management are carried out to prevent potential failures; by correlation analysis, the significant impact of environmental factors on line loss is determined to ensure the scientificity and reliability of the correction factor; the weights of key components can be flexibly adjusted using the weighted calculation method, and the weight values ​​can be adjusted according to actual conditions and experience to make the correction more in line with actual needs; by collecting and analyzing the life status and operating environment data of key components, the data-driven characteristics of the correction process are ensured to improve the scientificity and accuracy of the evaluation; by identifying environmental factors that have a significant impact on line loss, measures are taken in advance for preventive maintenance to reduce and avoid the occurrence of failures; by accurately evaluating the line loss of the distribution network under different load conditions, it is ensured that the limit test can fully reflect the performance of the distribution network under extreme conditions, optimize the operation of the power grid, improve energy utilization efficiency, and ensure the safe and stable operation of the power grid.

[0136] S6. The initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate are input into the distribution network line loss evaluation model to calculate the distribution network line loss evaluation index;

[0137] Step S6: input the initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate as input data into the distribution network line loss evaluation model to calculate the distribution network line loss evaluation index; the details are as follows:

[0138] Construct a distribution network line loss evaluation model, including:

[0139] Collect historical line loss data of the distribution network, including line loss rates at different load levels; collect equipment life status data of key components, such as operating hours, maintenance records and fault history of transformers, cables, switches, etc.; collect operating environment data, such as temperature, humidity and wind speed;

[0140] Remove duplicate data, handle missing values, and correct erroneous data; convert data of different dimensions to the same scale;

[0141] Based on domain knowledge and data exploration and analysis, select features that are highly correlated with line loss rate; construct new features based on existing data;

[0142] Choose a suitable model according to the actual situation, such as linear regression, ridge regression, support vector machine, decision tree or convolutional neural network;

[0143] Divide the collected data set into a training set and a test set; use the training set data to train the selected model; adjust the model's hyperparameters through methods such as cross-validation to obtain the best performance; use the test set data to verify the generalization ability of the model;

[0144] Deploy the trained distribution network line loss evaluation model to the production environment; input the initial baseline line loss rate, stage correction line loss rate and limit correction line loss rate to calculate the distribution network line loss evaluation index; based on the preset line loss evaluation threshold, determine whether the distribution network line to be tested has abnormal line loss;

[0145] Regularly evaluate the performance of the distribution network line loss evaluation model to ensure its effectiveness; continuously optimize the distribution network line loss evaluation model based on the evaluation results to improve its accuracy and robustness;

[0146] After the distribution network line loss evaluation model is constructed, the initial baseline line loss rate, stage correction line loss rate and limit correction line loss rate are used as inputs and input into the distribution network line loss evaluation model for calculation, and the network line loss evaluation index is output;

[0147] When the linear model is selected, the distribution network line loss evaluation index is:

[0148] ;

[0149] in, It represents the distribution network line loss evaluation index. represents the initial baseline line loss rate, Indicates The weight of the line loss rate correction in each stage, It is Corrected line loss rate in the current stage.

[0150] By testing the load sequence to cover different load levels from low to high, the performance of the distribution network under various load conditions is comprehensively evaluated; the limit test further examines the performance of the distribution network under the design limit load to ensure the line loss evaluation under extreme conditions; through statistical analysis to remove outliers, improve data quality, and ensure the accuracy of line loss evaluation; use the weighted average method to consider the impact of test time and improve the reliability of the results; correct the life status and operating environment characteristics of key components, consider the impact of equipment aging and environmental changes on line loss, and improve the reliability of the evaluation results; the limit test considers the design limit load to ensure the reliability of the evaluation results; the limit test duration is adjusted according to actual conditions and experience to increase the flexibility of the test and make the test method practical and efficient; by adjusting the weights of key components, the correction parameters are flexibly adjusted according to actual conditions to adapt to different power grid conditions; by identifying the life status of key components and the impact of the operating environment, targeted maintenance and management are carried out to prevent potential failures; limit testing helps identify potential problem points and take measures in advance By collecting and analyzing the life status and operating environment data of key components, the data-driven characteristics of the correction process are ensured, and the scientificity and accuracy of the evaluation are improved; the data of the limit test are used to predict future maintenance needs and help formulate an effective maintenance plan; by regularly evaluating the performance of the distribution network line loss evaluation model, the effectiveness of the distribution network line loss evaluation model is ensured, and the model is continuously optimized according to the evaluation results to improve the accuracy and robustness of the distribution network line loss evaluation model; the continuous optimization of the distribution network line loss evaluation model helps to improve the prediction accuracy and ensure that the evaluation results are more reliable; by constructing the distribution network line loss evaluation model, the automation and intelligence of the line loss evaluation is realized, the need for manual intervention is reduced, and the work efficiency is improved; the deployment of the distribution network line loss evaluation model enables the line loss evaluation to quickly respond to changes in the power grid and provide evaluation results in a timely manner; step S4 accurately evaluates the line loss of the distribution network under different load conditions, ensures that the limit test can fully reflect the performance of the distribution network under extreme conditions, optimize the operation of the power grid, improve energy utilization efficiency, and ensure the safe and stable operation of the power grid.

[0151] S7. Based on the preset line loss evaluation threshold and the distribution network line loss evaluation index, determine whether the distribution network line to be detected has abnormal line loss;

[0152] In step S7, based on the preset line loss evaluation threshold and the distribution network line loss evaluation index, it is determined whether the distribution network line to be detected has abnormal line loss; the details are as follows:

[0153] Obtain the distribution network line loss evaluation index from step S6 ;

[0154] Set the preset line loss evaluation threshold , the threshold is determined based on historical data, industry standards, or expert opinions;

[0155] Comparison of distribution network line loss evaluation index With the preset line loss evaluation threshold ;when > When , it is considered that the distribution network line to be tested has abnormal line loss; when ≤ When , it is considered that the line loss of the distribution network line to be tested is normal;

[0156] When the line loss is judged to be normal, the operation of the distribution network will continue to be monitored; when the line loss is judged to be abnormal, the cause will be further investigated and corresponding measures will be taken for maintenance or adjustment.

[0157] By using the distribution network line loss evaluation index, the line loss of the distribution network can be evaluated more accurately; the evaluation index comprehensively considers multiple factors, including the equipment life status and the influence of the operating environment, to improve the accuracy of the evaluation; by presetting the line loss evaluation threshold, it is objectively judged whether the line loss of the distribution network line to be detected is abnormal, ensuring the reliability of the judgment; using the threshold for judgment avoids the uncertainty of subjective judgment and improves the consistency and repeatability of the results; the preset line loss evaluation threshold can be adjusted according to actual conditions to increase the flexibility of the judgment method; the threshold is adjusted according to the specific conditions and management needs of the power grid to ensure the applicability of the method; when it is judged that the line loss is abnormal, further investigate the cause and take corresponding measures for maintenance or adjustment to prevent future failures, improve the safety and stability of the power grid, and reduce energy waste caused by line loss; step S7 accurately evaluates the line loss of the distribution network under different load conditions to ensure that the limit test can fully reflect the performance of the distribution network under extreme conditions, optimize the operation of the power grid, improve energy utilization efficiency, and ensure the safe and stable operation of the power grid.

[0158] Embodiment 2: Figure 3 As shown, a distribution network line loss detection system of the present invention specifically includes the following modules;

[0159] A data acquisition module is used to obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested;

[0160] A test control module is used to automatically or manually adjust the load level of the distribution network line to be tested according to a preset test load sequence, and record each test load level and its corresponding test duration;

[0161] Real-time monitoring module, used to continuously monitor and collect real-time line loss rate at each test load level during the test;

[0162] The data analysis module is used to perform statistical analysis on the collected multiple real-time line loss rates and calculate the stage line loss rate in the corresponding time period of the test load sequence;

[0163] The limit test module performs a limit test of a preset duration based on the design limit load of the distribution network line to be tested, and obtains the limit line loss rate of the distribution network line to be tested;

[0164] The correction processing module is used to correct the stage line loss rate and the limit line loss rate, taking into account factors such as equipment aging, load fluctuations and seasonal environmental changes, to obtain the stage corrected line loss rate and the limit corrected line loss rate;

[0165] The line loss evaluation model module is used to use the initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate as input parameters, and calculate the distribution network line loss evaluation index through the pre-trained distribution network line loss evaluation model;

[0166] The decision support module determines whether there is abnormal line loss in the distribution network line to be tested based on the preset line loss evaluation threshold and the calculated distribution network line loss evaluation index, and outputs corresponding decision suggestions.

[0167] The real-time monitoring module continuously monitors and collects the real-time line loss rate at each test load level, so that it can reflect the actual situation of the current power grid in real time, improving the real-time and dynamic nature of the detection; by considering the line loss situation under conventional load changes and the extreme test module to evaluate the performance of the power grid under extreme load, it comprehensively covers various load conditions faced by the power grid and improves the comprehensiveness of the detection; the positive processing module corrects the line loss rate for factors such as equipment aging, load fluctuations and seasonal environmental changes, eliminates the influence of external factors on the detection results, and makes the detection results more accurate and reliable; by integrating the line loss evaluation model module, it realizes the intelligent analysis of the collected data, and outputs feedback based on complex data input. The line loss evaluation index that reflects the actual operation status of the power grid provides data support; the decision support module automatically determines whether there is any line loss abnormality in the distribution network line to be tested based on the preset line loss evaluation threshold and the calculated line loss evaluation index, and outputs corresponding decision suggestions to improve the timeliness of decision-making and reduce the subjectivity and errors of human judgment; the entire detection process is automated and streamlined, reducing manual intervention and data processing time, improving detection efficiency, and being able to record and trace the detection process for subsequent analysis and optimization; by introducing real-time monitoring, dynamic adjustment, precise correction and intelligent decision-making technologies, the shortcomings of existing methods are solved to provide guarantees for the safe, stable and efficient operation of the power system.

[0168] The various variations and specific embodiments of the distribution network line loss detection method in the aforementioned embodiment 1 are also applicable to the distribution network line loss detection system of this embodiment. Through the aforementioned detailed description of the distribution network line loss detection method, those skilled in the art can clearly know the implementation method of the distribution network line loss detection system in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0169] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0170] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for detecting line loss in a distribution network, characterized in that: The method comprises: Obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested; Based on a preset test load sequence, the distribution network line to be tested is tested, and the real-time line loss rate under each test load level is collected; the test load sequence includes a number of different test load instructions, each test load instruction consists of a test load value and a test duration; Performing statistical analysis on the collected multiple real-time line loss rates to obtain the stage line loss rate in the corresponding time period of the test load sequence; Based on the design limit load of the distribution network line to be tested, the line is subjected to a limit test for a preset limit test duration to obtain the limit line loss rate of the distribution network line to be tested; Correcting the stage line loss rate and the limit line loss rate to obtain the stage corrected line loss rate and the limit corrected line loss rate; The initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate are input into the distribution network line loss evaluation model to calculate the distribution network line loss evaluation index; Based on the preset line loss evaluation threshold and the distribution network line loss evaluation index, determine whether the distribution network line to be tested has abnormal line loss; The method for correcting the stage line loss rate and the limit line loss rate includes: Collect the equipment life status of each key component in the distribution network line to be tested, summarize and integrate them, and obtain the key component life feature set; Based on the preset key component weight set, a comprehensive weighted calculation is performed on the key component life feature set to obtain the life influencing parameters; Collect the operating environment of the distribution network line to be tested, extract environmental features, and obtain a set of line operating environment impact features; Conduct correlation analysis on the line operation environmental impact feature set to obtain environmental impact parameters; Combine the life influencing parameters and the environmental influencing parameters to correct the stage line loss rate and obtain the stage corrected line loss rate; Combine the life influencing parameters and the environmental influencing parameters to correct the limit line loss rate and obtain the limit corrected line loss rate; The method for constructing the distribution network line loss evaluation model comprises: Collect historical line loss data of the distribution network, equipment life status data of key components and operating environment data; Remove duplicate data, handle missing values ​​and correct erroneous data, and convert data of different dimensions to the same scale; The linear model is selected as the basic framework of the distribution network line loss evaluation model; The collected data set is divided into a training set and a test set. The training set data is used to train the distribution network line loss evaluation model, and the test set data is used to verify the generalization ability of the distribution network line loss evaluation model. Deploy the trained distribution network line loss evaluation model to the production environment, input the initial baseline line loss rate, stage correction line loss rate, and limit correction line loss rate, and calculate the distribution network line loss evaluation index; The life-influencing parameters are: ; in, represents the life-span influencing parameter, is the weight of the key component, is the equipment life status of the first key component, is the number of critical components; The correction line loss rate in the above stage is: ; in, Indicates the stage correction line loss rate, represents the stage line loss rate, Indicates lifespan influencing parameters; Indicates environmental impact parameters; The limit correction line loss rate is: ； in, represents the limit correction line loss rate, represents the limit line loss rate, Indicates lifespan influencing parameters; Indicates environmental impact parameters; The distribution network line loss evaluation index is: ; in, It represents the distribution network line loss evaluation index. represents the initial baseline line loss rate, represents the weight of the line loss rate correction in the th stage, is the corrected line loss rate of the first stage.

2. A distribution network line loss detection method according to claim 1, characterized in that: The method for obtaining the stage line loss rate includes: Collect real-time line loss rate data collected at different test load levels, check data integrity, and classify and sort the data by test load level; Use the standard deviation method to identify and calculate the standard deviation of the real-time line loss rate at each test load level, and remove outliers that exceed the mean plus or minus the set multiple standard deviation; For each test load level, a simple arithmetic average is used to obtain the average value of the real-time line loss rate; Based on the average line loss rate at each test load level, the stage line loss rate in the corresponding time period of the test load sequence is calculated.

3. A distribution network line loss detection method as claimed in claim 2, characterized in that: The calculation formula of line loss rate in the above stage is: ； in, represents the stage line loss rate, Indicates the test duration. Indicates the average line loss rate.

4. A distribution network line loss detection system, characterized in that: The system is applied to the power distribution network line loss detection method according to claim 1, and the system comprises: A data acquisition module is used to obtain the initial baseline line loss rate and design limit load of the distribution network line to be tested; The test control module is used to adjust the load level of the distribution network line to be tested according to a preset test load sequence, and record each test load level and its corresponding test duration; Real-time monitoring module, used to continuously monitor and collect real-time line loss rate at each test load level during the test; The data analysis module is used to perform statistical analysis on the collected multiple real-time line loss rates and calculate the stage line loss rate in the corresponding time period of the test load sequence; The limit test module performs a limit test of a preset duration based on the design limit load of the distribution network line to be tested, and obtains the limit line loss rate of the distribution network line to be tested; The correction processing module is used to correct the stage line loss rate and the limit line loss rate, taking into account the factors of equipment aging, load fluctuation and seasonal environmental changes, to obtain the stage corrected line loss rate and the limit corrected line loss rate; The line loss evaluation model module is used to use the initial baseline line loss rate, the stage correction line loss rate and the limit correction line loss rate as input parameters, and calculate the distribution network line loss evaluation index through the pre-trained distribution network line loss evaluation model; The decision support module determines whether there is abnormal line loss in the distribution network line to be tested based on the preset line loss evaluation threshold and the calculated distribution network line loss evaluation index, and outputs corresponding decision suggestions.

5. An electronic device for detecting line loss in a distribution network, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and characterized in that: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 3 are implemented.

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