CN106056315A - Analysis/evaluation system and analysis/evaluation method for quality of power grid fault characteristic data - Google Patents

Abstract

The invention discloses a system and method for evaluating and analyzing power grid fault characteristic data. Based on the equipment failure alarm text issued by the smart grid dispatching control system, the invention first obtains the above equipment failure alarm text, and then according to the fault time and fault equipment, automatically Collect and integrate all kinds of alarm data in the dispatching control system, including switch displacement, plant accident total, telemetry mutation, PMU-based disturbance analysis briefing, fault recording data and fault briefing based on fault recording data, etc., and then separately Analyze and evaluate the alarm data from the real-time, accuracy and completeness of the alarm data, and finally output the data quality problems of the alarm data and the detailed original alarm data, so as to show the user the analysis and evaluation of the quality of the power grid fault characteristic data result. The invention can realize automatic analysis and evaluation of fault characteristic data of the power grid, and provide convenient and efficient technical support means for system operation and maintenance personnel to carry out data quality inspection.

Description

An analysis and evaluation system and method for power grid fault characteristic data quality

technical field

The invention relates to the technical field of power system intelligent analysis and control, in particular to a system and method for analyzing and evaluating the quality of power grid fault characteristic data.

Background technique

Power grid fault characteristic data refers to the dispatching master station side data that reflects the fault characteristics of equipment short-circuit fault, unit tripping and DC blocking. Letter and SOE data, three-phase voltage and current of WAMS system, protection action signal, fault briefing and fault recording files of the guarantee system, etc.

At present, in the case of power grid faults, system operation and maintenance personnel need to combine their own experience, use manual methods to collect and organize alarm data, and on this basis, check and analyze the correctness and completeness of alarm data one by one. The analysis and evaluation tool for equipment failure alarm data can automatically give the data quality problems of various alarm data in the case of failure.

Therefore, it is necessary to study an analysis and evaluation method for the quality of power grid fault characteristic data, so as to realize the real-time and accuracy of various alarm data (including switch displacement, accident total, protection action, telemetry mutation, fault recording file, etc.) under the condition of equipment fault. Analysis and evaluation of safety and completeness, improve the data inspection efficiency of system operation and maintenance personnel, and timely discover data quality problems of various alarm data.

Contents of the invention

The technical problem to be solved by the present invention is: based on the smart grid dispatching control system, combined with the characteristics of different types of data such as steady state, dynamic state and transient state, from three aspects of real-time, accuracy and completeness, it proposes various The analysis and evaluation method of similar alarm data realizes the automatic analysis and evaluation of the quality of power grid fault characteristic data.

The technical solution adopted by the present invention is specifically: an analysis and evaluation system for the quality of power grid fault characteristic data, the smart grid dispatching control system outputs equipment fault alarm texts, and the analysis and evaluation system for the quality of power grid fault characteristic data includes:

Fault feature data collection and integration module: obtain equipment fault alarm files in real time, and analyze the fault time and fault equipment, and then retrieve the switch variable associated with the fault equipment in the alarm information database of the smart grid dispatching control system according to the fault time and fault equipment. Bits, plant and station accident totals, protection action signals, telemetry mutations, PMU disturbance briefings, fault recording files, and fault briefing data form fault characteristic data packets; each fault characteristic data packet is indexed with the corresponding fault time and fault equipment;

Real-time analysis and evaluation module: analyze whether the SOE displacement signal of the switch, the total SOE action signal of the plant station accident, the protection SOE action signal, the fault recording file, and the time for sending the fault briefing exceed the corresponding delay time thresholds set respectively. Then it is judged that the corresponding data does not meet the real-time requirements; if the fault is a permanent fault, it is further judged whether the telemetry data of the faulty equipment has mutated below the zero drift value within the specified time range. If it exceeds the specified time, the permanent fault The telemetry mutation does not meet the real-time requirements;

Completeness analysis and evaluation module: judge whether all kinds of fault characteristic data are uploaded. The types of fault characteristic data include switch remote signal displacement, switch SOE displacement, total remote signal action of plant and station accidents, total SOE action of plant and station accidents, protection Remote signaling action, protection SOE action, telemetry mutation of permanent fault, PMU disturbance report at both ends of the faulty device, wave recording file and fault report of each set of fault recorders at both ends of the faulty device; if any of the above types is missing , it is judged that the fault characteristic data does not meet the completeness requirements;

Correctness analysis and evaluation module: judging whether the PMU disturbance briefing and fault briefing are correct, including: 1) judging whether the fault phase difference and coincidence of the PMU disturbance briefing at both ends of the line are consistent; 2) judging the fault of each fault recorder fault briefing Whether the phase difference and coincidence are consistent; 3) Judging whether the fault phase difference and coincidence of the PMU disturbance briefing and fault recorder fault briefing are consistent;

Evaluation output module: output the analysis results to the user. The analysis results include data quality analysis briefings and various original alarm details. The data quality analysis briefings include failure time, faulty equipment, whether the switch displacement is normal, and whether the plant accident is normal. Whether the action and protection signal are operating normally, whether the telemetry is normal and changing, whether the result of the PMU disturbance report is correct, whether the fault recording file is complete and whether the fault report is normal.

The system of the present invention can be integrated with the smart grid dispatching control system. The working principle is: when the power grid fails, the system automatically receives the equipment failure alarm message issued by the smart grid dispatching control system using its own comprehensive intelligent analysis function and alarm function, and then According to the fault time and fault equipment, automatically collect and integrate various alarm data in the dispatching control system, including switch displacement, plant accident total, telemetry mutation, PMU-based disturbance analysis report, fault recording data and fault recording Data fault briefing, etc., analyze and evaluate the alarm data from the aspects of real-time, accuracy and completeness of the alarm data, and provide the data quality problems of the alarm data and the detailed original alarm data in the form of a report, so as to realize the Analysis and evaluation of power grid fault characteristic data quality.

The invention also discloses a method for analyzing and evaluating the quality of power grid fault characteristic data, which includes the following steps:

Step 1, collection and integration of fault characteristic data: obtain equipment fault alarm texts in real time, and analyze the fault time and fault equipment, and then retrieve the information associated with the fault equipment in the alarm information database of the smart grid dispatching control system based on the fault time and fault equipment. Switch displacement, plant accident total, protection action signal, telemetry mutation, PMU disturbance briefing, fault recording file and fault briefing data constitute a fault characteristic data packet; each fault characteristic data packet is represented by the corresponding fault time and fault equipment. index;

Step 2. Real-time analysis and evaluation of the integrated fault characteristic data: set the delay time threshold, analyze the switch SOE displacement signal, the total SOE action signal of the plant accident, the protection SOE action signal, the fault recording file and the fault briefing Whether the upload time exceeds the set corresponding delay time threshold, if it exceeds, it will be determined that the corresponding data does not meet the real-time requirements; if the fault is a permanent fault, it will be further judged whether the telemetry data of the faulty device has changed within the specified time range Below the zero drift value, if it exceeds the specified time, the telemetry mutation of this permanent fault does not meet the real-time requirements;

Under normal circumstances, the delay time of the switch SOE displacement signal, total plant and station accident SOE action signal, and protection SOE action signal does not exceed 30 seconds, and the time for sending fault recording files and fault briefings does not exceed 1 minute. Set the delay time;

Step 3: Analyze and evaluate the completeness of the integrated fault characteristic data: judge whether all kinds of fault characteristic data are completely uploaded. The types of fault characteristic data include switch remote signal displacement, switch SOE Signal action, general SOE action of plant and station accident, protection remote signaling action, protection SOE action, telemetry mutation of permanent fault, double-ended PMU disturbance briefing of faulty equipment, wave recording files and faults of each set of fault recorders at both ends of faulty equipment Briefing; if any one of the above types is missing, it is judged that the fault characteristic data does not meet the completeness requirements;

The uploading is uploading from the sub-station to the dispatching main station;

Step 4: Analyze and evaluate the correctness of the integrated fault characteristic data: judge whether the PMU disturbance report and the fault report are correct, including: 1) judge the fault phase of the PMU disturbance report on both sides of the line (phase A, phase B, phase C) , AB phase, BC phase, CA phase, and ABC phase) are consistent; 2) Judging whether the coincidence status of the PMU disturbance report on both sides of the line (coincidence success, coincidence failure, non-coincidence) is consistent; 3) Judging the fault records of each set of fault equipment 4) Judging whether the coincidence of the fault reports sent to the dispatching master station by each set of fault recorders of the faulty equipment is consistent; 5) Judging the PMU disturbance briefing and fault Whether the coincidence of the fault report sent to the dispatching master station by the oscilloscope is consistent; 6) Determine whether the overlap of the PMU disturbance report and the fault report sent to the dispatching master station by the fault recorder are consistent;

Step 5, output analysis and evaluation results: output the analysis results to the user. The analysis results include the data quality analysis briefing and the detailed information of the original alarm of the sub-station received by the dispatching master station. The data quality analysis briefing includes the failure time, faulty equipment, switch Whether the displacement is normal, whether the plant accident controller operates normally, whether the protection signal operates normally, whether the telemetry changes normally, whether the result of the PMU disturbance briefing is correct, whether the fault recording file is complete and whether the fault briefing is sent normally.

In step 1 of the present invention, the collection and integration of fault characteristic data of the power grid is triggered by the comprehensive intelligent analysis and alarm function events of the smart grid dispatching control system, and the fault time and fault equipment are used as indexes, and the switch displacement, plant station Alarm data such as accident totals, telemetry mutations, PMU-based disturbance analysis briefings, fault recording files, and fault briefings based on fault recording data are extracted and collected, and all alarm data of equipment failures are finally integrated.

Further, in step 2 of the method of the present invention, when performing real-time analysis and evaluation on the integrated fault characteristic data:

2-1) The real-time analysis of the switch SOE displacement signal is: if the switch SOE displacement receiving time minus the switch SOE displacement alarm time exceeds the set threshold value, it is judged as a switch SOE displacement delay alarm;

2-2) The real-time analysis of the total SOE actions of plant and station accidents is as follows: if the receiving time of the total SOE actions of plant and station accidents minus the alarm time of the total SOE actions of plant and station accidents exceeds the set threshold value, it is judged that the total of plant and station accidents is SOE action delay alarm;

2-3) The real-time analysis method for the SOE action of the protection signal is as follows: if the receiving time of the SOE action of the protection signal minus the SOE action alarm time of the protection signal exceeds the set threshold value, it is judged as a delay alarm of the SOE action of the protection signal;

2-4) The real-time analysis of the fault recording file upload is as follows: if the receiving time of the fault recording file minus the trigger generation time of the fault recording file exceeds the set threshold value, it is judged that the uploading of the fault recording file is delayed .

In the third step of the present invention, when performing completeness analysis and evaluation on the integrated fault characteristic data:

3-1) The analysis of the completeness of the switch displacement is: automatically search the switch connected to the faulty device through the topological connection relationship, analyze and judge whether the remote signal displacement and SOE signal of each switch are sent correctly, if any signal is missing, then Judging that the switch displacement signal is missing;

Specifically: based on the logic simulation of the protection action, automatically search for the switch connected to the faulty device through the topology connection relationship, and obtain the switch that the faulty device should act on, and then retrieve the corresponding switch within 30 seconds before and after the fault time in the smart grid dispatching control system alarm library information database. Whether the switch has remote signal displacement and SOE signal, if any signal is missing, it is judged that the switch displacement signal is missing.

3-2) The analysis of the completeness of the total action of the station accident is: obtain the information of the station through the faulty equipment, analyze whether the total remote signal displacement and SOE signal of the corresponding station accident are sent correctly, and judge if any signal is missing The switch displacement signal is missing;

The details are as follows: Obtain the plant station information through the faulty equipment, and then obtain the station accident total signal name according to the plant station, and then retrieve the corresponding plant station accident total signal within 30 seconds before and after the fault time in the smart grid dispatching control system alarm library information database. Whether there are remote signal displacement and SOE signals, if any signal is missing, it is judged that the general action signal of the plant station accident is missing.

3-3) The completeness analysis of the PMU disturbance report is as follows: determine whether the faulty device is equipped with PMU measurement, and if PMU measurement is configured, analyze whether the PMU disturbance report is sent, and if the faulty device is a line, judge the line at the same time Whether PMU measurement is configured on both sides and whether PMU disturbance briefings on both sides are sent. If any PMU disturbance analysis briefing is missing, it is judged that the PMU disturbance analysis briefing is missing;

Specifically: First, according to the measurement type field of the smart grid dispatching control system equipment table, determine whether the measurement type includes PMU measurement, and then obtain whether the faulty device is configured with PMU measurement. If PMU measurement is configured, search Whether the online disturbance identification function of the smart grid dispatching control system forms a PMU disturbance report. If the faulty device is a line, judge whether PMU measurement is configured on both sides of the line and whether the PMU disturbance report is formed on both sides of the line according to the above judgment method. If any PMU is missing If there is no disturbance briefing, it is judged that the PMU disturbance briefing is missing.

3-4) The completeness analysis of the fault recorder file is as follows: determine the number of fault recorder configuration sets of the faulty equipment, if any set of fault recorder files is not uploaded, it is judged that the fault recorder file is missing; if the faulty device is Line, then judge the number of fault recorder configuration sets on both sides of the line at the same time;

Specifically: According to the number of recorders in the wave recorder configuration table of the smart grid dispatching control system, the number of fault recorder configuration sets of the faulty equipment is obtained. The report is missing; if the faulty device is a line, judge the number of fault recorders on both sides of the line at the same time, and use the above method to judge the absence of fault recorders on each side.

3-5) The completeness analysis of the fault recording report is as follows: determine the number of fault recorder configuration sets of the faulty equipment, if any set of fault report is not uploaded, it is judged that the fault report is missing; if the faulty device is a line, then simultaneously Determine the number of fault recorders on both sides of the line.

Specifically: According to the number of recorders in the wave recorder configuration information table of the smart grid dispatching control system, the number of fault recorder configuration sets of the faulty equipment is obtained. If any set of fault recorder files is not uploaded, the fault is judged The wave recording file is missing; if the faulty device is a line, judge the number of fault recorder configuration sets on both sides of the line at the same time, and use the above method to judge the absence of the fault recorder file on each side.

Step 3 mainly analyzes the integrity of the alarm data sent, determines whether there is any alarm data that has not been uploaded, and then provides the analysis result of the missing alarm data.

In step 4 of the present invention, when analyzing the correctness of the integrated fault characteristic data, the correctness analysis of the telemetry mutation is as follows: define the zero drift value, if the equipment is a permanent failure, then judge whether the equipment measurement is within the set If the mutation falls below the defined zero drift value within the time range, if the above conditions are met, it is judged that the telemetry mutation is normal, otherwise it is judged that the telemetry mutation is abnormal;

In the measurement of the above equipment, the measurement of line, main transformer, unit and DC pole is active power, and the measurement of busbar is voltage. The zero drift value can be configured as required, generally 0.5.

Step 4 is to verify the content of fault reports from different data sources. The sources of fault reports are divided into two categories, namely the disturbance analysis report based on PMU data and the fault analysis report based on fault recording data. The verification content includes fault phase type, nature of failure (transient, permanent), and then get inconsistent content of the failure briefing.

In Step 5 of the present invention, the evaluation and analysis results are output to the user in the form of a report.

The beneficial effect of the present invention is: through the collection, integration, analysis and evaluation of the fault characteristic data of the power grid, the online evaluation of the quality of various fault characteristic data in the case of equipment failure can be realized, and it is convenient for the system operation and maintenance personnel to find out the quality of the equipment fault characteristic data in time Problems, providing convenient and efficient data quality inspection tools for operation and maintenance personnel.

Description of drawings

Fig. 1 is a schematic block diagram of the system structure of the present invention.

detailed description

It will be further described below in conjunction with the accompanying drawings and specific embodiments.

With reference to shown in Fig. 1, the analysis evaluation system of power grid fault feature data quality of the present invention comprises:

Fault feature data collection and integration module: obtain equipment fault alarm files in real time, and analyze the fault time and fault equipment, and then retrieve the switch variable associated with the fault equipment in the alarm information database of the smart grid dispatching control system according to the fault time and fault equipment. Bits, plant and station accident totals, protection action signals, telemetry mutations, PMU disturbance briefings, fault recording files, and fault briefing data form fault characteristic data packets; each fault characteristic data packet is indexed with the corresponding fault time and fault equipment;

Real-time analysis and evaluation module: analyze whether the SOE displacement signal of the switch, the total SOE action signal of the plant station accident, the protection SOE action signal, the fault recording file, and the time for sending the fault briefing exceed the corresponding delay time thresholds set respectively. Then it is judged that the corresponding data does not meet the real-time requirements; if the fault is a permanent fault, it is further judged whether the telemetry data of the faulty equipment has mutated below the zero drift value within the specified time range. If it exceeds the specified time, the permanent fault The telemetry mutation does not meet the real-time requirements;

Completeness analysis and evaluation module: judge whether all kinds of fault characteristic data are uploaded. The types of fault characteristic data include switch remote signal displacement, switch SOE displacement, total remote signal action of plant and station accidents, total SOE action of plant and station accidents, protection Remote signaling action, protection SOE action, telemetry mutation of permanent fault, PMU disturbance report at both ends of the faulty device, wave recording file and fault report of each set of fault recorders at both ends of the faulty device; if any of the above types is missing , it is judged that the fault characteristic data does not meet the completeness requirements;

Correctness analysis and evaluation module: judging whether the PMU disturbance briefing and fault briefing are correct, including: 1) judging whether the fault phase difference and coincidence of the PMU disturbance briefing at both ends of the line are consistent; 2) judging the fault of each fault recorder fault briefing Whether the phase difference and coincidence are consistent; 3) Judging whether the fault phase difference and coincidence of the PMU disturbance briefing and fault recorder fault briefing are consistent;

Evaluation output module: output the analysis results to the user. The analysis results include data quality analysis briefings and various original alarm details. The data quality analysis briefings include failure time, faulty equipment, whether the switch displacement is normal, and whether the plant accident is normal. Whether the action and protection signal are operating normally, whether the telemetry is normal and changing, whether the result of the PMU disturbance report is correct, whether the fault recording file is complete and whether the fault report is normal.

Based on the above system, the processing flow of the quality analysis and evaluation method of power grid fault characteristic data is divided into five steps, namely, collection and integration of fault characteristic data, real-time analysis and evaluation of fault characteristic data, analysis and evaluation of completeness of fault characteristic data, and analysis and evaluation of correctness of fault characteristic data And the quality evaluation output of grid fault characteristic data.

Example

Concrete processing flow of the present invention is:

The fault feature data collection and integration module receives in real time the equipment fault alarm text issued by the comprehensive intelligent analysis and alarm function of the smart grid dispatching control system, and analyzes to obtain the fault time and faulty equipment, and then automatically dispatches the fault in the smart grid dispatching control system according to the fault time and faulty equipment Retrieve the switch displacement associated with the faulty equipment, plant and station accidents, protection action signals, telemetry mutations, PMU disturbance briefings, fault recording files, and fault briefings in the alarm information database, and finally use the fault time and faulty equipment as indexes to form fault characteristics The data package provides a data basis for subsequent data quality analysis.

On the basis of the collection and integration of alarm data, the real-time analysis and evaluation module of fault characteristic data automatically analyzes whether the switch SOE displacement signal, total plant and station accident SOE action signal, protection SOE action signal, fault recording file and fault briefing time are submitted If it exceeds the set delay time threshold, it will be judged that the real-time performance of the relevant data does not meet the requirements; at the same time, if the fault is a permanent fault, further judge the telemetry of the faulty equipment (lines, main transformers, units and DC are active power measurements, busbars (for voltage measurement) whether the sudden change below the zero drift value within the specified time range, if it exceeds the specified time, the real-time performance of the telemetry sudden change does not meet the requirements.

The completeness analysis and evaluation module of fault characteristic data quality, based on the collection and integration of alarm data, judges whether various fault characteristic data are uploaded. The range of fault characteristic data judged includes switch remote signal displacement, switch SOE Remote signal action, overall plant and station accident SOE action, protection remote signal action, protection SOE action, telemetry mutation (permanent fault), faulty device double-ended PMU disturbance briefing, faulty device double-ended fault recording file for each set of fault recorders and fault reports. If any of the above alarm data is missing, it is judged that the completeness of the fault characteristic data is insufficient.

The correctness analysis and evaluation module of fault characteristic data quality is based on the collection and integration of alarm data, and judges whether the PMU disturbance briefing and fault briefing are correct, including three parts: 1) Judging the fault phase of the PMU disturbance briefing on both sides of the line (phase A, Whether phase B, phase C, phase AB, phase BC, phase CA, and phase ABC) are consistent; 2) Judging whether the coincidence status of the PMU disturbance briefing on both sides of the line (coincidence success, coincidence failure, non-coincidence) is consistent; 3) Judging the fault Whether the fault phases sent to the dispatching master station by each set of fault recorders of the equipment are consistent; 4) Judging whether the coincidence of the fault briefings sent to the dispatching master station by each set of fault recorders of the faulty equipment is consistent; 5) Judging Whether the coincidence of the PMU disturbance report and the fault report sent to the dispatching master station by the fault recorder is consistent; 6) Determine whether the coincidence of the PMU disturbance report and the fault report sent to the dispatching master station by the fault recorder is consistent.

The fault feature data quality evaluation output module provides the analysis results to the user in the form of a report, including the data quality analysis briefing and the detailed information of the original alarm of the sub-station received by the dispatching master station. The data quality analysis briefing includes the time of failure, faulty equipment, whether the switch displacement is normal, whether the plant accident always operates normally, whether the protection signal operates normally, whether the telemetry changes normally, whether the result of the PMU disturbance briefing is correct, and whether the fault recording file is complete. Whether the uploading and fault briefing are normal, etc.

The present invention has been described according to preferred embodiments. It should be understood that the above embodiments do not limit the present invention in any form, and all technical solutions obtained in the form of equivalent replacement or equivalent transformation fall within the protection scope of the present invention. .

Claims (6)

1. An analysis and evaluation system of power grid fault characteristic data quality, smart grid dispatching control system output equipment fault alarm text, it is characterized in that, comprising: Fault feature data collection and integration module: obtain equipment fault alarm files in real time, and analyze the fault time and fault equipment, and then retrieve the switch variable associated with the fault equipment in the alarm information database of the smart grid dispatching control system according to the fault time and fault equipment. Bits, plant and station accident totals, protection action signals, telemetry mutations, PMU disturbance briefings, fault recording files, and fault briefing data form fault characteristic data packets; each fault characteristic data packet is indexed with the corresponding fault time and fault equipment; Real-time analysis and evaluation module: analyze whether the SOE displacement signal of the switch, the total SOE action signal of the plant station accident, the protection SOE action signal, the fault recording file, and the time for sending the fault briefing exceed the corresponding delay time thresholds set respectively. Then it is judged that the corresponding data does not meet the real-time requirements; if the fault is a permanent fault, it is further judged whether the telemetry data of the faulty equipment has mutated below the zero drift value within the specified time range. If it exceeds the specified time, the permanent fault The telemetry mutation does not meet the real-time requirements; Completeness analysis and evaluation module: judge whether all kinds of fault characteristic data are uploaded. The types of fault characteristic data include switch remote signal displacement, switch SOE displacement, total remote signal action of plant and station accidents, total SOE action of plant and station accidents, protection Remote signaling action, protection SOE action, telemetry mutation of permanent fault, PMU disturbance report at both ends of the faulty device, wave recording file and fault report of each set of fault recorders at both ends of the faulty device; if any of the above types is missing , it is judged that the fault characteristic data does not meet the completeness requirements; Correctness analysis and evaluation module: judging whether the PMU disturbance briefing and fault briefing are correct, including: 1) judging whether the fault phase difference and coincidence of the PMU disturbance briefing at both ends of the line are consistent; 2) judging the fault of each set of fault recorder fault briefing Whether the phase difference and coincidence are consistent; 3) Judging whether the fault phase difference and coincidence of the PMU disturbance briefing and fault recorder fault briefing are consistent; Evaluation output module: output the analysis results to the user. The analysis results include the data quality analysis briefing and the detailed information of the original alarm of the sub-station received by the dispatching master station. The data quality analysis briefing includes the failure time, faulty equipment, and whether the switch displacement is normal , Whether the plant and station accidents are in normal operation, whether the protection signal is in normal operation, whether the telemetry changes normally, whether the result of the PMU disturbance briefing is correct, whether the fault recording file is complete and whether the fault briefing is sent normally. 2. the analysis and evaluation method based on the analysis and evaluation system of the power grid fault characteristic data quality of the power grid fault characteristic data quality according to claim 1, it is characterized in that, comprising the following steps: Step 1, collection and integration of fault characteristic data: obtain equipment fault alarm texts in real time, and analyze the fault time and fault equipment, and then retrieve the information associated with the fault equipment in the alarm information database of the smart grid dispatching control system based on the fault time and fault equipment. Switch displacement, plant accident total, protection action signal, telemetry mutation, PMU disturbance briefing, fault recording file and fault briefing data constitute a fault characteristic data packet; each fault characteristic data packet is represented by the corresponding fault time and fault equipment. index; Step 2. Real-time analysis and evaluation of the integrated fault characteristic data: set the delay time threshold, analyze the switch SOE displacement signal, the total SOE action signal of the plant accident, the protection SOE action signal, the fault recording file and the fault briefing Whether the upload time exceeds the set corresponding delay time threshold, if it exceeds, it will be determined that the corresponding data does not meet the real-time requirements; if the fault is a permanent fault, it will be further judged whether the telemetry data of the faulty device has changed within the specified time range Below the zero drift value, if it exceeds the specified time, the telemetry mutation of this permanent fault does not meet the real-time requirements; Step 3: Analyze and evaluate the completeness of the integrated fault characteristic data: judge whether all kinds of fault characteristic data are uploaded. The types of fault characteristic data include switch remote signal displacement, switch SOE Action, general SOE action of plant and station accident, protection remote signal action, protection SOE action, telemetry mutation of permanent fault, double-ended PMU disturbance briefing of faulty equipment, wave recording file and fault briefing of each set of fault recorders at both ends of faulty equipment ; If any one of the above types is missing, it is judged that the fault characteristic data does not meet the completeness requirements; Step 4: Analyze and evaluate the correctness of the integrated fault characteristic data: judge whether the PMU disturbance report and the fault report are correct, including: 1) judge whether the fault phases of the PMU disturbance reports on both sides of the line are consistent; 2) judge whether the faults on both sides of the line are consistent Whether the coincidence of the PMU disturbance report is consistent; 3) Judging whether the fault phases of the fault report sent to the dispatching master station by each set of fault recorders of the faulty equipment are consistent; 4) Judging that each set of fault recorders of the faulty equipment is sent to the dispatcher Whether the coincidence of the failure report of the main station is consistent; 5) Judging whether the coincidence of the PMU disturbance report and the fault recorder sent to the dispatching master station are consistent; 6) Judging the PMU disturbance report and the fault recorder sent to the dispatcher Whether the coincidence of fault reports of the master station is consistent; Step 5, output analysis and evaluation results: output the analysis results to the user. The analysis results include the data quality analysis briefing and the detailed information of the original alarm of the sub-station received by the dispatching master station. The data quality analysis briefing includes the failure time, faulty equipment, switch Whether the displacement is normal, whether the plant accident controller operates normally, whether the protection signal operates normally, whether the telemetry changes normally, whether the result of the PMU disturbance briefing is correct, whether the fault recording file is complete and whether the fault briefing is sent normally. 3. The method according to claim 2, characterized in that, in step 2, when carrying out real-time analysis and evaluation of the integrated fault characteristic data: 2-1) The real-time analysis of the switch SOE displacement signal is: if the switch SOE displacement receiving time minus the switch SOE displacement alarm time exceeds the set threshold value, it is judged as a switch SOE displacement delay alarm; 2-2) The real-time analysis of the total SOE actions of plant and station accidents is as follows: if the receiving time of the total SOE actions of plant and station accidents minus the alarm time of the total SOE actions of plant and station accidents exceeds the set threshold value, it is judged that the total of plant and station accidents is SOE action delay alarm; 2-3) The real-time analysis method for the SOE action of the protection signal is as follows: if the receiving time of the SOE action of the protection signal minus the SOE action alarm time of the protection signal exceeds the set threshold value, it is judged as a delay alarm of the SOE action of the protection signal; 2-4) The real-time analysis of the fault recording file upload is as follows: if the receiving time of the fault recording file minus the trigger generation time of the fault recording file exceeds the set threshold value, it is judged that the uploading of the fault recording file is delayed . 4. The method according to claim 2, characterized in that, in step 3, when carrying out completeness analysis and evaluation to the integrated fault characteristic data: 3-1) The analysis of the completeness of the switch displacement is: automatically search the switch connected to the faulty device through the topological connection relationship, analyze and judge whether the remote signal displacement and SOE signal of each switch are sent correctly, if any signal is missing, then Judging that the switch displacement signal is missing; 3-2) The analysis of the completeness of the total action of the station accident is as follows: obtain the station to which it belongs through the faulty equipment, analyze whether the total remote signal displacement of the station accident and the SOE signal are sent correctly, and if any signal is missing, judge the switch change. bit signal missing; 3-3) The completeness analysis of the PMU disturbance report is as follows: determine whether the faulty device is equipped with PMU measurement, and if PMU measurement is configured, analyze whether the PMU disturbance report is sent, and if the faulty device is a line, judge the line at the same time Whether PMU measurement is configured on both sides and whether PMU disturbance briefings on both sides are sent. If any PMU disturbance analysis briefing is missing, it is judged that the PMU disturbance analysis briefing is missing; 3-4) The completeness analysis of the fault recorder file is as follows: determine the number of fault recorder configuration sets of the faulty equipment, if any set of fault recorder files is not uploaded, it is judged that the fault recorder file is missing; if the faulty device is Line, then judge the number of fault recorder configuration sets on both sides of the line at the same time; 3-5) The completeness analysis of the fault recording briefing is as follows: determine the number of fault recorder configuration sets of the faulty equipment, if any set of fault briefings is not uploaded, it is judged that the fault briefing is missing; if the faulty equipment is a line, then at the same time Determine the number of fault recorders on both sides of the line. 5. The method according to claim 2, characterized in that, in step 4, when analyzing the correctness of the integrated fault feature data, the correctness analysis of the telemetry mutation is: if the equipment is a permanent failure, then judge Whether the equipment measurement changes to below the defined zero drift value within the set time range. If the above conditions are met, it is judged that the telemetry mutation is normal, otherwise it is judged that the telemetry mutation is abnormal; In the measurement of the above equipment, the measurement of line, main transformer, unit and DC pole is active power, and the measurement of busbar is voltage. 6. The method according to claim 2, characterized in that, in step five, the analysis results are output in the form of reports.