System and method for detecting performance of shunt measurement equipment for power grid

Abstract

The invention discloses a system and method for detecting the performance of shunt measurement equipment for a power grid, and belongs to the technical field of power grid performance detection, and the system comprises an information obtaining module which is used for obtaining the number of lines of a preset power grid and the operation state of each power grid line, dividing the operation state data of each power grid line, generating a data set, and storing the data set; the data import module is used for uploading the data set to the measurement equipment and dividing the data set into a training set, a test set and a verification set; according to the method, the operation states of the power grid line in different periods are obtained through analysis, the current and / or voltage values which can be borne by the power grid line in different periods can be obtained one by one through different current and voltage increasing values, and the operation state change of the power grid line in the process is analyzed; and meanwhile, line operation state changes can be divided in a targeted manner, and state characteristics in the line operation state changes can be collected, so that data support and early warning can be provided for performance and operation state changes of the power grid line in a future period.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid performance detection, and in particular to a power grid branch measurement equipment performance detection system and method. Background Art

[0002] With the increasing number of high-voltage long-distance overhead transmission lines, transmission lines, as the link of energy transmission, are the basis for the safe and stable operation of the entire system. Once a fault occurs on the transmission line, the fault point must be found as soon as possible, the fault must be eliminated, and power supply must be restored. However, since high-voltage and ultra-high-voltage transmission lines are often exposed to different environments and distributed in a large geographical area, the operating environment is harsh. Therefore, it is also the place where most faults occur in the power system. Quickly and accurately finding the fault point after a line fault is not only crucial to timely repairing the line and quickly restoring power supply, but also plays a very important role in the safe, stable and economical operation of the entire power system. The existing measurement equipment used to find power grid branch faults mostly relies on Power system operators and analysts have a good grasp of the characteristics of the power grid, and their grasp depends on real-time monitoring and analysis based on the power grid model. However, given that the specific conditions of each line are different, transmission lines, especially those with a voltage level of 220kV and above, almost all have operating lines that run parallel to them or are erected on the same poles. This brings interference and difficulties to the measurement equipment in measuring the parameters of the transmission lines. In addition, due to the large number of influencing factors, the actual parameters of the line may differ greatly from the design parameters, which in turn affects the accuracy and reliability of state estimation, network loss analysis, and fault analysis. Therefore, how to achieve performance detection of power grid lines through an efficient method under the normal operation of the transmission and distribution system is an urgent problem that needs to be solved. Summary of the invention

[0003] In view of the above problems existing in the technical field of existing power grid performance detection, the present invention is proposed.

[0004] Therefore, one of the objects of the present invention is to provide a performance detection system and method for branch measurement equipment for power grids, which can obtain the operating status of power grid lines at different periods by analyzing and acquiring the operating status of power grid lines at different periods, and through different current and voltage increment values, can obtain the current and / or voltage values ​​that the power grid lines can withstand at different periods one by one, and analyze the changes in the operating status of the power grid lines in this process, and at the same time can also divide the changes in the line operating status in a targeted manner, and collect the state characteristics therein, so as to provide data support and early warning for the performance of the power grid lines and changes in the operating status in future time periods.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In one aspect, the present invention provides a power grid branch measurement equipment performance detection system, comprising:

[0007] An information acquisition module, used to acquire the number of lines of a preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set;

[0008] A data import module, used to upload the data set to the measurement equipment, divide the data set into a training set, a test set and a validation set, obtain characteristic data in the uploaded data, and record the operation time period of the preset power grid corresponding to the characteristic data;

[0009] An LSTM network fusion analysis module is used to analyze the correlation characteristics between various characteristic data of a preset power grid in different operating periods, wherein the LSTM network fusion analysis module includes a calculation module, a comparison module and an analysis module;

[0010] The calculation module calculates the variation rules of current and voltage in different characteristic data based on the characteristic data of the data uploaded in the data import module, and also includes obtaining the average value data in the characteristic data, and based on the average value data, inputting the variation values ​​of current and voltage in an incremental manner until the maximum current and voltage values ​​in the characteristic data, calculating the performance variation of the measuring device in this process, and drawing the ROC curve;

[0011] The comparison module is based on the average value data of the calculation module and the change values ​​of the current and voltage input in an incremental manner, and is used to give the average value data to different lines of the preset power grid, and give the current and voltage change value data in an incremental manner, compare and analyze each line, and obtain its operating status and change;

[0012] The analysis module is based on the comparison module, and when a line in the preset power grid fails in its operation state due to a given incremental current and / or voltage change, the analysis module analyzes the operation state changes of other lines that have not failed;

[0013] A data processing module, used to normalize the operation data of the lines without faults, obtain characteristic values ​​of current and voltage in the lines without faults, collect the number of occurrences and / or frequency of each characteristic value in the corresponding lines without faults, and collect the operation status of the faulty line each time the characteristic value appears, upload the operation status to the data set, and update the data set;

[0014] The detection terminal is used to record the operator matched with the measuring device, receive the field data uploaded by the measuring device, and update the background data at the same time. When a line in the preset power grid in the future period causes a failure in the operating state due to a given incremental current and / or voltage change, an information acquisition request for equipment performance detection is initiated to the operator matched with the measuring device.

[0015] As a preferred solution of the present invention, in the information acquisition module, the operating status data is divided into peak and non-peak operating status data, wherein the peak operating status data includes the operating status data of the preset power grid in the summer and winter periods, and the non-peak operating status data includes the operating status data of the preset power grid in the spring and autumn periods, and characteristic data of the preset power grid operating status data in each period is obtained, the characteristic data includes current, voltage and power data of the preset power grid, and the maximum value data of the current, voltage and power data is collected, and the maximum value data is uploaded to the measurement equipment to obtain the performance of the measurement equipment.

[0016] As a preferred solution of the present invention, the maximum value data is divided into Where n represents the nth maximum value data. The performance changes of the measuring equipment at different maximum value data are collected, the changing rules are analyzed, and the prediction model is generated.

[0017] As a preferred solution of the present invention, wherein: in the data import module, the operating time period of the preset power grid corresponding to the characteristic data includes the operating time period of the preset power grid during the peak period, specifically also includes the morning and evening peak periods under the peak period, wherein the morning and evening peak periods under the peak period are the morning peak and evening peak periods of the area where the preset power grid is located, the morning peak period includes 7 to 9 o'clock, and the evening peak period includes 18 to 21 o'clock.

[0018] As a preferred solution of the present invention, in which: in the comparison module, different lines of the preset power grid are marked, and the same increasing current and voltage values ​​are given to different lines, and the safety threshold is preset based on the given same increasing maximum current and voltage values. When the current and voltage of a line in the future period exceed the safety threshold and a fault occurs, the system determines that the line is a faulty line, otherwise, it will not be determined.

[0019] As a preferred solution of the present invention, in the data processing module, when a line in the preset power grid fails in its operating state due to a given incremental current and / or voltage change, the operating state change of the line before the failure is divided into a first state change, a second state change and a third state change, and the operating characteristics of the line under different state changes are obtained, and the proportion of the operating characteristics to the final failure of the line is calculated, which is calculated according to the following formula:

[0020] Among them, P y Indicates the y-th given increasing value;

[0021] Wherein, n represents the given number of times of the incremented value, and the given number of times is at least once; x i represents the line state change measured for the i-th time under the given same incremental value, y i Indicates the time when the line state change occurs for the i-th time under the given same incremental value.

[0022] As a preferred solution of the present invention, the interval from the time to the occurrence of the line fault is obtained, and the interval is divided into [t1, t2, ..., t n ], wherein n represents the nth time interval of the collection, and the critical threshold is preset based on the t1 interval, and the operation change records of the line during the t1 interval are stored. When the operation change of a line in a future period is consistent with the operation change during the interval under the same incremental value, the system determines that the line will fail, otherwise, no determination is made.

[0023] As a preferred solution of the present invention, the given same increasing value and the line operation changes in the interval period corresponding to the increasing value are uploaded to the measuring equipment in batches, and based on the same increasing value, a value larger than the original increasing value is continuously input within the same interval time, and the performance changes of the measuring equipment are collected. In this process, when a line fails, the value corresponding to the fault and the line are recorded and stored, and the line is prohibited from running the current and voltage values ​​represented by the value in the future period. Otherwise, it is not prohibited. At the same time, the value corresponding to the fault is uploaded to the prediction model, and the prediction model is updated.

[0024] As a preferred solution of the present invention, the Monte Carlo method is used to train the output values ​​that are larger than the original incremental values, artificial intelligence-assisted processing is performed through abnormal feature recognition technology and multi-dimensional information fusion fault discrimination technology, and fault inversion is performed in combination with historical values.

[0025] On the other hand, the present invention provides a method for detecting the performance of a branch measuring device for a power grid, which is applied to the aforementioned system for detecting the performance of a branch measuring device for a power grid, and comprises the following steps:

[0026] Acquire the number of lines of a preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set;

[0027] Uploading the data set to a measurement device, dividing the data set into a training set, a test set, and a validation set, acquiring characteristic data from the uploaded data, and recording an operating period of a preset power grid corresponding to the characteristic data;

[0028] Analyze the correlation characteristics between the characteristic data of the preset power grid in different operating periods, and calculate the change rules of current and voltage in different characteristic data, including:

[0029] Obtaining average value data in the characteristic data, and based on the average value data, inputting the change values ​​of current and voltage in an incremental manner until the maximum current and voltage values ​​in the characteristic data are reached, calculating the performance change of the measuring device in this process, and drawing a ROC curve;

[0030] Based on the average value data and the change values ​​of the current and voltage input in an incremental manner, the average value data and the current and voltage change value data are given in an incremental manner to different lines of the preset power grid. When a line in the preset power grid fails in its operating state due to the given incremental current and / or voltage change, the operating state changes of other lines that have not failed are analyzed;

[0031] The operator matching the measuring device is recorded, and the field data uploaded by the measuring device is received. Meanwhile, the background data is updated. When a line in the preset power grid in the future period fails in operation due to a given incremental current and / or voltage change, an information acquisition request for equipment performance detection is initiated to the operator matching the measuring device.

[0032] Beneficial effects:

[0033] The present invention obtains the operating status of the power grid line at different periods by analyzing, and through different current and voltage increment values, can obtain the current and / or voltage values ​​that the power grid line can withstand at different periods one by one, and analyze the operating status changes of the power grid line in this process, and then can measure the performance of different lines separately, thereby improving the accuracy and reliability of estimating the operating status of different lines, network loss analysis and fault analysis, and at the same time can also divide the line operating status changes in a targeted manner, and collect the state characteristics therein, so as to provide data support and early warning for the performance of the power grid line and the operating status changes in the future period. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0035] Figure 1 A schematic diagram of the modular structure of a power grid branch measurement device performance detection system according to an embodiment of the present invention;

[0036] Figure 2 A schematic diagram of a method flow of an embodiment of the present invention;

[0037] Figure 3 A schematic diagram of the process structure of an embodiment of the present invention;

[0038] Numbers in the figure: 110 - information acquisition module; 120 - data import module; 130 - LSTM network fusion analysis module; 1301 - calculation module; 1302 - comparison module; 1303 - analysis module; 140 - data processing module; 150 - detection terminal. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0040] Because the existing technology brings interference and difficulties to the measurement equipment in the parameter measurement of the transmission line, and because of the large number of influencing factors, the actual parameters of the line may differ greatly from the design parameters, which in turn affects the accuracy and reliability of state estimation, network loss analysis and fault analysis.

[0041] Based on this, the present invention proposes a performance detection system and method for branch measurement equipment for power grids, which obtains the operating status of power grid lines at different periods by analyzing and acquiring the current and / or voltage values ​​that the power grid lines can withstand at different periods one by one through different current and voltage increment values, and analyzes the changes in the operating status of the power grid lines in this process. At the same time, it can also divide the changes in the line operating status in a targeted manner and collect the state characteristics therein, so as to provide data support and early warning for the performance of the power grid lines and changes in the operating status in future time periods.

[0042] The present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0043] Reference Figures 1 to 3 , is an embodiment of the present invention, which provides a performance detection system for a branch measurement device for a power grid, comprising:

[0044] The information acquisition module 110 is used to obtain the number of lines of the preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set;

[0045] It should be noted that in this embodiment, the operation status data is divided into peak period and non-peak period operation status data, wherein the peak period operation status data includes the operation status data of the preset power grid in the summer period and the winter period, and the non-peak period operation status data includes the operation status data of the preset power grid in the spring period and the autumn period, and characteristic data of the preset power grid operation status data in each period is obtained, the characteristic data includes the current, voltage and power data of the preset power grid, and the maximum value data of the current, voltage and power data is collected, and the maximum value data is uploaded to the measurement device to obtain the performance of the measurement device;

[0046] Based on the above, this embodiment divides the maximum value data into ▽1, ▽2, ..., ▽ n , where n represents the nth maximum value data, collects the performance changes of the measuring equipment at different maximum value data, analyzes its change rules, and generates a prediction model;

[0047] The data import module 120 is used to upload the data set to the measurement equipment, divide the data set into a training set, a test set and a validation set, obtain characteristic data in the uploaded data, and record the operation period of the preset power grid corresponding to the characteristic data;

[0048] Specifically, in this embodiment, the operation time period of the preset power grid corresponding to the characteristic data includes the operation time period of the preset power grid during the peak period, and specifically includes the morning and evening peak periods under the peak period, wherein the morning and evening peak periods under the peak period are the morning peak period and evening peak period of the area where the preset power grid is located, the morning peak period includes 7 to 9 o'clock, and the evening peak period includes 18 to 21 o'clock;

[0049] In real life, the morning and evening peaks are usually during the concentrated period when people go to work and get off work. During this period, people need to eat breakfast. Therefore, gas stoves, microwave ovens and other electrical appliances at home and / or breakfast shops and restaurants are in concentrated use. In this case, the power consumption in the area where the preset power grid is located will surge compared with the past, which will increase the operating load of the preset power grid. Similarly, during the evening peak, people are in the concentrated period when they get off work and return home. Various electrical appliances will be put into use. Therefore, this period will also cause the operating load of the preset power grid to increase. Therefore, the morning and evening peaks of the area where the preset power grid is located are included in the reference range during the peak period, which can more deeply and effectively detect the performance of the measurement equipment;

[0050] The LSTM network fusion analysis module 130 is used to analyze the correlation characteristics between the characteristic data of the preset power grid in different operation periods, wherein the LSTM network fusion analysis module includes a calculation module 1301, a comparison module 1302 and an analysis module 1303;

[0051] The calculation module 1301 calculates the changing rules of the current and voltage in different characteristic data based on the characteristic data of the data uploaded in the data import module, and also includes obtaining the average value data in the characteristic data, and based on the average value data, inputting the change value of the current and voltage in an incremental manner until the maximum current and voltage value in the characteristic data, calculating the performance change of the measuring device in this process, and drawing the ROC curve;

[0052] The comparison module 1302 is used to give average value data and current and voltage change value data to different lines of the preset power grid based on the average value data of the calculation module 1301 and the current and voltage change values ​​input in an incremental manner, compare and analyze each line, and obtain its operating status and change;

[0053] It should be emphasized in this embodiment that different lines of the preset power grid are marked, and the same increasing current and voltage values ​​are given to different lines, and the safety threshold is preset based on the given same increasing maximum current and voltage values. When the current and voltage of a line in the future period exceed the safety threshold and a fault occurs, the system determines that the line is a faulty line, otherwise, it will not be determined;

[0054] The analysis module 1303 is based on the comparison module 1302, and when a line in the preset power grid fails in its operation state due to a given incremental current and / or voltage change, the analysis module 1303 analyzes the operation state changes of other lines that have not failed;

[0055] The data processing module 140 is used to normalize the operation data of the lines without faults, obtain the characteristic values ​​of the current and voltage values ​​in each line without faults, collect the number of occurrences and / or frequency of each characteristic value in the corresponding line without faults, and collect the operation status of the faulty line each time the characteristic value appears, upload the operation status to the data set, and update the data set;

[0056] It should be noted that in this embodiment, when a line in a preset power grid fails in its operating state due to a given incremental current and / or voltage change, the operating state change of the line before the failure is divided into a first state change, a second state change, and a third state change, and the operating characteristics of the line under different state changes are obtained, and the proportion of the operating characteristics to the final failure of the line is calculated, which is calculated according to the following formula:

[0057] Among them, P y Indicates the y-th given increasing value;

[0058] Where n represents the given number of times the value is incremented, and the given number is at least once; x i represents the line state change measured for the i-th time under the given same incremental value, y i It indicates the time when the line state change occurs for the i-th time under the given same increasing value;

[0059] On the basis of the above, further, this embodiment obtains the interval from the time to the time when the line fault occurs, and divides the interval into [t1, t2, ..., t n ], where n represents the nth time interval of the data collected, and the critical threshold is preset based on the t1 interval, and the operation change records of the line in the t1 interval are stored. When the operation change of a line in the future period is consistent with the operation change in the interval under the same incremental value, the system determines that the line will fail, otherwise, it will not be determined;

[0060] At the same time, this embodiment uploads the given same increasing value and the line operation change in the interval period corresponding to the increasing value to the measuring device in batches, and based on the same increasing value, continuously inputs a value larger than the original increasing value in the same interval time, and collects the performance change of the measuring device. In this process, when a line fails, the value corresponding to the fault and the line are recorded and stored, and the current and voltage values ​​represented by the running value of the line are prohibited in the future period. Otherwise, it is not prohibited, and the value corresponding to the fault is uploaded to the prediction model, and the prediction model is updated;

[0061] On the basis of the above, this embodiment uses the Monte Carlo method to train the output values ​​that are larger than the original incremental values, performs artificial intelligence-assisted processing through abnormal feature recognition technology and multi-dimensional information fusion fault discrimination technology, and combines historical values ​​for fault inversion;

[0062] The detection terminal 150 is used to record the operator matched with the measuring device, receive the field data uploaded by the measuring device, and update the background data at the same time. When a line in the power grid preset in the future time period causes a failure in the operating state due to a given incremental current and / or voltage change, an information acquisition request for equipment performance detection is initiated to the operator matched with the measuring device.

[0063] Based on the above, the present application obtains the operating status of the power grid line at different periods by analyzing it, and through different current and voltage increment values, can obtain the current and / or voltage values ​​that the power grid line can withstand at different periods one by one, and analyze the changes in the operating status of the power grid line in this process. At the same time, it can also divide the changes in the line operating status in a targeted manner and collect the state characteristics therein, so as to provide data support and early warning for the performance of the power grid line and changes in the operating status in future time periods.

[0064] In combination with the above-mentioned power grid branch measurement equipment performance detection system, this embodiment also proposes a working method applied to the system, as follows:

[0065] Obtain the number of lines of a preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set;

[0066] Upload the data set to the measurement equipment, divide the data set into a training set, a test set and a validation set, obtain characteristic data in the uploaded data, and record the operation period of the preset power grid corresponding to the characteristic data;

[0067] Analyze the correlation characteristics between the characteristic data of the preset power grid in different operating periods, and calculate the change rules of current and voltage in different characteristic data, including:

[0068] Obtain the average value data in the characteristic data, and based on the average value data, input the change values ​​of current and voltage in an incremental manner until the maximum current and voltage values ​​in the characteristic data are reached, calculate the performance change of the measuring equipment in this process, and draw the ROC curve;

[0069] Based on the average value data and the change values ​​of the current and voltage input in an incremental manner, the average value data and the current and voltage change value data are given in an incremental manner to different lines of the preset power grid. When a line in the preset power grid fails in its operating state due to the given incremental current and / or voltage change, the operating state changes of other lines that have not failed are analyzed;

[0070] The system records the operator that matches the measuring device, receives the field data uploaded by the measuring device, and updates the background data. When a line in the power grid preset in the future period fails due to a given incremental current and / or voltage change, a request for information acquisition of equipment performance detection is initiated to the operator that matches the measuring device.

[0071] In summary, the present invention obtains the operating status of the power grid line at different periods by analyzing, and through different current and voltage increment values, can obtain the current and / or voltage values ​​that the power grid line can withstand at different periods one by one, and analyze the operating status changes of the power grid line in this process, and then can measure the performance of different lines separately, thereby improving the accuracy and reliability of estimating the operating status of different lines, network loss analysis and fault analysis, and at the same time can also divide the line operating status changes in a targeted manner, and collect the state characteristics therein, so as to provide data support and early warning for the performance of the power grid line and the operating status changes in the future period.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A power grid branch measurement equipment performance detection system, characterized in that: include: An information acquisition module, used to acquire the number of lines of a preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set; A data import module, used to upload the data set to the measurement equipment, divide the data set into a training set, a test set and a validation set, obtain characteristic data in the uploaded data, and record the operation time period of the preset power grid corresponding to the characteristic data; An LSTM network fusion analysis module is used to analyze the correlation characteristics between various characteristic data of a preset power grid in different operating periods, wherein the LSTM network fusion analysis module includes a calculation module, a comparison module and an analysis module; The calculation module calculates the variation rules of current and voltage in different characteristic data based on the characteristic data of the data uploaded in the data import module, and also includes obtaining the average value data in the characteristic data, and based on the average value data, inputting the variation values ​​of current and voltage in an incremental manner until the maximum current and voltage values ​​in the characteristic data, calculating the performance variation of the measuring device in this process, and drawing the ROC curve; The comparison module is based on the average value data of the calculation module and the change values ​​of the current and voltage input in an incremental manner, and is used to give the average value data to different lines of the preset power grid, and give the current and voltage change value data in an incremental manner, compare and analyze each line, and obtain its operating status and change; The analysis module is based on the comparison module, and when a line in the preset power grid fails in its operation state due to a given incremental current and / or voltage change, the analysis module analyzes the operation state changes of other lines that have not failed; A data processing module, used to normalize the operation data of the lines without faults, obtain characteristic values ​​of current and voltage in the lines without faults, collect the number of occurrences and / or frequency of each characteristic value in the corresponding lines without faults, and collect the operation status of the faulty line each time the characteristic value appears, upload the operation status to the data set, and update the data set; The detection terminal is used to record the operator matched with the measuring device, receive the field data uploaded by the measuring device, and update the background data at the same time. When a line in the preset power grid in the future period causes a failure in the operating state due to a given incremental current and / or voltage change, an information acquisition request for equipment performance detection is initiated to the operator matched with the measuring device.

2. A power grid branch measurement equipment performance detection system as claimed in claim 1, characterized in that: In the information acquisition module, the operating status data is divided into peak period and non-peak period operating status data, wherein the peak period operating status data includes the operating status data of the preset power grid in the summer period and the winter period, and the non-peak period operating status data includes the operating status data of the preset power grid in the spring period and the autumn period, and characteristic data of the preset power grid operating status data in each period is obtained, and the characteristic data includes the current, voltage and power data of the preset power grid, and the maximum value data of the current, voltage and power data is collected, and the maximum value data is uploaded to the measurement equipment to obtain the performance of the measurement equipment.

3. A power grid branch measurement equipment performance detection system as claimed in claim 2, characterized in that: The maximum value data is divided into ▽1, ▽2, ..., ▽ n , where n represents the nth maximum value data. The performance changes of the measuring equipment at different maximum value data are collected, the changing rules are analyzed, and the prediction model is generated.

4. A power grid branch measurement equipment performance detection system as claimed in claim 1, characterized in that: In the data import module, the operating time period of the preset power grid corresponding to the characteristic data includes the operating time period of the preset power grid during the peak period, specifically also includes the morning and evening peak periods under the peak period, wherein the morning and evening peak periods under the peak period are the morning peak and evening peak periods of the area where the preset power grid is located, the morning peak period includes 7 to 9 o'clock, and the evening peak period includes 18 to 21 o'clock.

5. A power grid branch measurement equipment performance detection system as claimed in claim 1, characterized in that: In the comparison module, different lines of the preset power grid are marked, and the same increasing current and voltage values ​​are given to different lines. A safety threshold is preset based on the given same increasing maximum current and voltage values. When the current and voltage of a line in a future period exceed the safety threshold and a fault occurs, the system determines that the line is a faulty line, otherwise, it will not be determined.

6. A power grid branch measurement equipment performance detection system as claimed in claim 1, characterized in that: In the data processing module, when a line in the preset power grid fails in its operating state due to a given incremental current and / or voltage change, the operating state change of the line before the failure is divided into a first state change, a second state change and a third state change, and the operating characteristics of the line under different state changes are obtained, and the proportion of the operating characteristics to the final failure of the line is calculated, which is calculated according to the following formula: Among them, P y Indicates the y-th given increasing value; Wherein, n represents the given number of times of the incremented value, and the given number of times is at least once; x i represents the line state change measured for the i-th time under the given same incremental value, y i Indicates the time when the line state change occurs for the i-th time under the given same incremental value.

7. A power grid branch measurement equipment performance detection system as claimed in claim 6, characterized in that: Obtain the interval from the time to the occurrence of the line fault, and divide the interval into [t1, t2, ..., t n ], wherein n represents the nth time interval of the collection, and the critical threshold is preset based on the t1 interval, and the operation change records of the line during the t1 interval are stored. When the operation change of a line in a future period is consistent with the operation change during the interval under the same incremental value, the system determines that the line will fail, otherwise, no determination is made.

8. A power grid branch measurement equipment performance detection system as claimed in claim 7, characterized in that: The given same increasing value and the line operation changes in the interval period corresponding to the increasing value are uploaded to the measuring equipment in batches, and based on the same increasing value, values ​​larger than the original increasing value are continuously input within the same interval time, and the performance changes of the measuring equipment are collected. In this process, when a line fails, the value corresponding to the fault and the line are recorded and stored, and the line is prohibited from running the current and voltage values ​​represented by the value in the future period. Otherwise, it is not prohibited. At the same time, the value corresponding to the fault is uploaded to the prediction model, and the prediction model is updated.

9. A power grid branch measurement equipment performance detection system as claimed in claim 8, characterized in that: The Monte Carlo method is used to train the output values ​​that are larger than the original incremental values, artificial intelligence-assisted processing is performed through abnormal feature recognition technology and multi-dimensional information fusion fault discrimination technology, and fault inversion is performed in combination with historical values.

10. A method for detecting performance of a branch circuit measuring device for a power grid, applied to a system for detecting performance of a branch circuit measuring device for a power grid as claimed in claim 1, characterized in that: The following steps are involved: Acquire the number of lines of a preset power grid and the operating status of each power grid line, and divide the operating status data of each power grid line to generate a data set; Uploading the data set to a measurement device, dividing the data set into a training set, a test set, and a validation set, acquiring characteristic data from the uploaded data, and recording an operating period of a preset power grid corresponding to the characteristic data; Analyze the correlation characteristics between the characteristic data of the preset power grid in different operating periods, and calculate the change rules of current and voltage in different characteristic data, including: Obtaining average value data in the characteristic data, and based on the average value data, inputting the change values ​​of current and voltage in an incremental manner until the maximum current and voltage values ​​in the characteristic data are reached, calculating the performance change of the measuring device in this process, and drawing a ROC curve; Based on the average value data and the change values ​​of the current and voltage input in an incremental manner, the average value data and the current and voltage change value data are given in an incremental manner to different lines of the preset power grid. When a line in the preset power grid fails in its operating state due to the given incremental current and / or voltage change, the operating state changes of other lines that have not failed are analyzed; The operator matching the measuring device is recorded, and the field data uploaded by the measuring device is received. Meanwhile, the background data is updated. When a line in the preset power grid in the future period fails in operation due to a given incremental current and / or voltage change, an information acquisition request for equipment performance detection is initiated to the operator matching the measuring device.

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