Intelligent identification and disposal method for abnormal waveform of power distribution terminal

Abstract

The invention provides a power distribution terminal abnormal waveform intelligent identification and disposal method. The specific process comprises the following steps: S1, remote interrogation: a power distribution master station remotely interrogates a waveform file of a power distribution terminal; s2, configuration file analysis: verifying the normalization and integrity of the waveform configuration file; s3, data file analysis: carrying out normalization and integrity detection on the waveform data file, and emphatically identifying quality problems such as data packet loss, disorder and abnormal acquisition; s4, intelligent processing: automatically executing waveform archiving and abnormity warning based on an analysis result, and ensuring high-quality storage of system waveform data; according to the invention, through intelligent waveform data analysis and processing, data quality reliability is ensured, and effective support is provided for accurate positioning and operation optimization of power grid faults.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of power distribution automation, and in particular to a power distribution terminal abnormal waveform intelligent identification and disposal method. BACKGROUND

[0002] When detecting line faults or abnormal operating states, the power distribution terminal automatically triggers the wave recording function, records and stores key electrical quantity data, and provides an important basis for fault analysis and operating state evaluation. At present, the power distribution master station in some areas has realized the automatic calling of terminal waveforms, which has significantly improved the timeliness and completeness of waveform file collection and ensured the efficient archiving of field operation data. However, due to the fact that the power distribution terminal mainly relies on wireless communication to interact with the master station, and is affected by factors such as terminal acquisition accuracy, signal stability, network congestion, etc., the waveform data called by the master station often has quality problems, such as acquisition abnormalities, non-standard formats, data packet loss or time sequence disorder, etc. These low-quality data not only increase the difficulty of subsequent analysis, but also may affect the accuracy of fault diagnosis. Therefore, it is urgent to introduce an abnormal waveform intelligent identification and disposal method to efficiently identify and process abnormal waveform data, ensure data quality reliability, and provide strong support for accurate fault positioning and power grid optimization operation. SUMMARY

[0003] The application proposes a power distribution terminal abnormal waveform intelligent identification and disposal method, which ensures data quality reliability through intelligent waveform data analysis and processing, and provides effective support for accurate fault positioning and operation optimization of the power grid.

[0004] The application adopts the following technical solutions.

[0005] A power distribution terminal abnormal waveform intelligent identification method, comprising the following steps:

[0006] Step S1: Remote calling: the power distribution master station remotely calls the waveform file of the power distribution terminal;

[0007] Step S2: Configuration file analysis: checking the standardization and integrity of the waveform configuration file;

[0008] Step S3: Data file analysis: detecting the standardization and integrity of the waveform data file, and focusing on identifying quality problems such as data packet loss, disorder and acquisition abnormalities.

[0009] In step S1, the remote calling of the power distribution master station includes a manual triggering mode and an automatic triggering mode: the manual triggering mode is manually executing waveform calling by a technician, and the automatic triggering mode is automatically starting waveform data calling when the system detects abnormal operation or fault of the line.

[0010] In step S1, the waveform file is composed of a configuration file and a data file, the configuration file records information of a sampling channel, a sampling frequency and a sampling point number of the waveform, and the data file records specific data of the waveform.

[0011] The configuration file is a CFG file, and the data file is a DAT file.

[0012] In step S2, the configuration file is checked for specification and completeness, specifically, whether the sampling channel, the sampling frequency, the sampling point number and specific definition information of each sampling channel of the waveform file are specified and complete, and whether they meet the general format requirements of the power system transient data exchange (COMTRADE).

[0013] In step S2, for the waveform file that meets the checking requirements of specification and completeness, the number of waveform channels and the sampling point number in the waveform file are read, and the theoretical size of the data file is calculated according to the format definition of the waveform file.

[0014] In step S2, for the waveform file that does not meet the checking requirements of specification and completeness, an intelligent handling method is used for processing, and an abnormal alarm of the configuration file is issued.

[0015] In step S3, the specification and completeness of the waveform data file are detected, and the quality problems of data packet loss identification, data out-of-order identification and data acquisition abnormality are detected as the detection focus.

[0016] The data packet loss identification refers to checking whether the data file size is consistent with the theoretical value of the data file size,

[0017] If the data file size is consistent with the theoretical value of the data file size, it means that there is no packet loss problem, and then the data is further checked for out-of-order.

[0018] If the data file size is not consistent with the theoretical value of the data file size, the consistency of the data file size and the terminal internal file size is further judged, if the sizes are consistent, it means that the terminal internal file storage is abnormal, and the intelligent handling method is used for processing, and an abnormal alarm of the data file is issued, if the sizes are not consistent, it means that the remote measurement has data packet loss, and the waveform needs to be re-measured.

[0019] The calculation method of the theoretical value of the data file size is specifically: the number of sampling channels, channel types, sampling point numbers and resolutions of the waveform are read from the configuration file, and the theoretical value of the data file size is calculated in combination with the general format related standards of the power system transient data exchange (COMTRADE).

[0020] The theoretical value of the data file size calculated is used for comparison with the actual value of the data file size to determine whether the waveform data is lost.

[0021] The data disorder identification specifically comprises: checking the packeting and recombination process of the data file in the transmission process, judging whether there is disorder phenomenon by detecting the continuity and correctness of the sampling point serial number of the waveform data, if the serial number is found to be disorder, it is determined that there is data disorder, and the waveform data needs to be re-collected, if the serial number is normal, the collection anomaly detection is continued;

[0022] The data collection anomaly detection refers to reasonably checking the voltage and current parameters in the waveform data, focusing on detecting whether the frequency and amplitude are normal, and whether there is abnormal jitter or over-limit value, if the frequency or amplitude is found to be abnormal, the step S3 is transferred to trigger the data file anomaly alarm, if the detection is normal, the related steps of the intelligent processing method are entered to complete the waveform archiving.

[0023] The power distribution terminal abnormal waveform intelligent processing method is used for the power distribution terminal abnormal waveform intelligent identification method, in the related steps of the intelligent processing method, the following steps are automatically executed based on the analysis result to ensure the high-quality storage of the system waveform data.

[0024] Step S4-1, configuration file alarm, specifically: if the configuration file generated by the power distribution terminal does not meet the specification and completeness requirements, it is determined that the configuration file is abnormal caused by terminal program anomaly, and an alarm is given to the technical personnel, and the technical personnel can troubleshoot according to the alarm prompt;

[0025] Step S4-2, waveform archiving, specifically: for the waveform data determined to be normal, the system receiving the waveform data automatically performs the archiving storage operation so as to be called for analysis later;

[0026] Step S4-3, data file alarm, specifically: according to the two abnormal situations of the data file generated by the power distribution terminal, the corresponding alarm is given: abnormal situation one is that the file size does not meet the standard requirements, abnormal situation two is that the signal collection process is abnormal, in the alarm information, the abnormal situation one is caused by the built-in program problem of the power distribution terminal, and the abnormal situation two is caused by the collection fault of the matching sensor of the power distribution terminal, so that the technical personnel can diagnose the problem according to the alarm information.

[0027] Compared with the prior art, the present application has the following beneficial effects:

[0028] 1) Improve data quality: the waveform data collected by the existing terminal is uneven in quality, and is significantly affected by communication fluctuations, the data obtained by the traditional method is poor in quality and contains a large amount of invalid data. The present application realizes automatic archiving of normal waveform, re-collection or alarm of abnormal waveform through intelligent classification processing, significantly improves data usability and reduces subsequent analysis complexity.

[0029] 2) Waveform automatic re-summon: In response to the problem of data packet loss and disorder caused by communication fluctuations, the system can automatically identify and intelligently compatible, and actively trigger the waveform re-summon mechanism. This design not only avoids the interference of such problems on subsequent analysis, but also prevents information loss caused by simply discarding data, while ensuring data integrity and improving processing efficiency.

[0030] 3) Optimize troubleshooting process: This strategy can accurately identify waveform data anomalies and provide classification prompts, enabling technical personnel to carry out troubleshooting work according to clear guidelines, significantly reducing the difficulty and time cost of problem diagnosis. BRIEF DESCRIPTION OF DRAWINGS

[0031] The present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments:

[0032] Figure 1 is a schematic diagram of the overall logic of an embodiment of the present application; Figure 1

[0033] Figure 2 is a schematic diagram of the implementation of the power distribution terminal abnormal waveform intelligent identification and disposal strategy of an embodiment of the present application. Figure 2 DETAILED DESCRIPTION

[0034] As shown in the figure, a power distribution terminal abnormal waveform intelligent identification method includes the following steps:

[0035] Step S1: Remote measurement: the power distribution master station remotely measures the waveform file of the power distribution terminal;

[0036] Step S2: Configuration file analysis: check the specification and integrity of the waveform configuration file;

[0037] Step S3: Data file analysis: perform specification and integrity detection on the waveform data file, focusing on identifying data packet loss, disorder, and collection abnormalities, etc. Quality problems.

[0038] In step S1, the power distribution master station remote measurement includes manual triggering mode and automatic triggering mode: manual triggering mode is manually executed by technical personnel Waveform measurement, the automatic triggering mode is to automatically start the waveform data measurement when the system detects abnormal operation or failure of the line.

[0039] In step S1, the waveform file is composed of a configuration file and a data file, the configuration file records the information of the sampling channel, sampling frequency and sampling point number of the waveform, and the data file records the specific data of the waveform.

[0040] The configuration file is a CFG file; the data file is a DAT file.

[0041] ​​In step S2, the configuration file is checked for specification and integrity, specifically, whether the sampling channel, sampling frequency, sampling point number, and specific definition information of each sampling channel of the waveform file are normative and complete, and whether they meet the requirements of the general format of the power system transient data exchange (COMTRADE);

[0042] In step S2, for the waveform file that meets the checking requirements of specification and integrity, the number of waveform channels and the sampling point number in the waveform file are read, and the theoretical size of the data file is calculated according to the format definition of the waveform file;

[0043] In step S2, for the waveform file that does not meet the checking requirements of specification and integrity, an intelligent handling method is used for processing, and an abnormal configuration file alarm is issued.

[0044] In step S3, the waveform data file is checked for specification and integrity, and the quality problems in data packet loss identification, data out-of-order identification, and data acquisition abnormality are detected.

[0045] The data packet loss identification refers to checking whether the data file size is consistent with the theoretical value of the data file size,

[0046] If the data file size is consistent with the theoretical value of the data file size, it means that there is no packet loss problem, and further checking is performed to determine whether the data is out of order.

[0047] If the data file size is not consistent with the theoretical value of the data file size, further judgment is made on whether the data file size is consistent with the terminal internal file size. If the sizes are consistent, it means that the terminal internal file storage is abnormal, and an intelligent handling method is used for processing, and a data file abnormality alarm is issued. If the sizes are not consistent, it means that the remote measurement has data packet loss, and the waveform needs to be re-measured.

[0048] The calculation method of the theoretical value of the data file size is as follows: the number of sampling channels, channel type, sampling point number, and resolution of the waveform are read from the configuration file, and the theoretical value of the data file size is calculated according to the requirements of the general format of the power system transient data exchange (COMTRADE).

[0049] The calculated theoretical value of the data file size is used to compare with the actual value of the data file size to determine whether the waveform data is lost.

[0050] The data out-of-order identification specifically refers to checking the packetization and recombination process of the data file during transmission, and determining whether there is an out-of-order phenomenon by detecting the continuity and correctness of the sampling point sequence number of the waveform data. If the sequence number is found to be disordered, it is determined that the data is out of order, and the waveform data needs to be re-measured. If the sequence number is normal, the acquisition abnormality detection continues.

[0051] The data collection anomaly detection refers to reasonable checking of voltage and current parameters in waveform data, focusing on whether the frequency and amplitude are normal and whether there is abnormal jitter or overrun. If the frequency or amplitude is abnormal, go to step S3 to trigger data file anomaly alarm; if the detection is normal, go to the related steps of the intelligent handling method to complete waveform archiving.

[0052] The power distribution terminal abnormal waveform intelligent handling method is used for the power distribution terminal abnormal waveform intelligent identification method. In the related steps of the intelligent handling method, the following steps are automatically executed based on the analysis results to ensure high-quality storage of system waveform data.

[0053] Step S4-1, configuration file alarm, specifically: if the configuration file generated by the power distribution terminal does not meet the specification and completeness requirements, it is determined that the configuration file anomaly is caused by terminal program anomaly, and an alarm is given to the technical personnel, who will troubleshoot according to the alarm prompt;

[0054] Step S4-2, waveform archiving, specifically: for the waveform data determined to be normal, the system receiving the waveform data automatically performs archiving storage operation for subsequent analysis;

[0055] Step S4-3, data file alarm, specifically: according to the two abnormal situations of the data file generated by the power distribution terminal, the corresponding alarm is given: abnormal situation one is that the file size does not meet the standard requirements, and abnormal situation two is that the signal collection process is abnormal. In the alarm information, abnormal situation one is caused by the built-in program problem of the power distribution terminal, and abnormal situation two is caused by the collection failure of the matching sensor of the power distribution terminal, so that the technical personnel can diagnose the problem according to the alarm information.

Claims

1. An abnormal waveform intelligent identification method for a power distribution terminal, characterized in that: The method comprises the following steps. Step S1: Remote measurement: the power distribution master station remotely measures the waveform file of the power distribution terminal; Step S2: Configuration file analysis: the normativity and integrity of the waveform configuration file are checked; Step S3: Data file analysis: the normativity and integrity of the waveform data file are detected, and the quality problems such as data packet loss, disorder and abnormal collection are mainly identified.

2. The power distribution terminal abnormal waveform intelligent identification method according to claim 1, characterized in that: In step S1, the remote measurement of the power distribution master station comprises a manual triggering mode and an automatic triggering mode: the manual triggering mode is that a technical personnel manually performs waveform measurement, and the automatic triggering mode is that the waveform data measurement is automatically started when the system detects abnormal operation or fault of a line.

3. The method according to claim 1, characterized in that: In step S1, the waveform file is composed of a configuration file and a data file, the configuration file records the information of a sampling channel, a sampling frequency and a sampling point number of the waveform, and the data file records specific data of the waveform.

4. The power distribution terminal abnormal waveform intelligent identification method according to claim 3, characterized in that: The configuration file is a CFG file, and the data file is a DAT file.

5. The power distribution terminal abnormal waveform intelligent identification method according to claim 1, characterized in that: In step S2, the normativity and integrity of the configuration file are checked, specifically, whether the sampling channel, the sampling frequency, the sampling point number and the specific definition information of each sampling channel of the waveform file are normative and complete, and whether the requirements of the general format of power system transient data exchange are met are checked; In step S2, for the waveform file that meets the checking requirements in terms of normativity and integrity, the number of waveform channels and the sampling point number in the waveform file are read, and the theoretical size of the data file is calculated according to the format definition of the waveform file; In step S2, for the waveform file that does not meet the checking requirements in terms of normativity and integrity, an intelligent disposal method is used for processing, and an abnormal alarm of the configuration file is issued.

6. The power distribution terminal abnormal waveform intelligent identification method according to claim 5, characterized in that: In step S3, the normativity and integrity of the waveform data file are detected, and the quality problems in terms of data packet loss identification, data disorder identification and data collection abnormality are mainly detected.

7. The power distribution terminal abnormal waveform intelligent identification method according to claim 6, characterized in that: The data packet loss identification refers to checking whether the data file size is consistent with the theoretical value of the data file size, if the data file size is consistent with the theoretical value of the data file size, it is indicated that there is no packet loss problem, and then the data is further checked for disorder; If the data file size is not consistent with the theoretical value of the data file size, the consistency of the data file size and the internal file size of the terminal is further judged, if the sizes are consistent, it is indicated that the internal file storage of the terminal is abnormal, the intelligent disposal method is used for processing, and an abnormal alarm of the data file is issued, if the sizes are inconsistent, it is indicated that the remote measurement has data packet loss, and the waveform needs to be measured again.

8. The method of claim 6, wherein the method further comprises: The calculation method of the theoretical value of the data file size is specifically: the number of sampling channels, the channel type, the sampling point number and the resolution of the waveform are read from the configuration file, and the theoretical value of the data file size is calculated in combination with the related standard requirements of the general format of power system transient data exchange; The theoretical value of the data file size obtained by calculation is used for comparison with the actual value of the data file size, so as to judge whether the waveform data is lost.

9. The power distribution terminal abnormal waveform intelligent identification method according to claim 6, characterized in that: The data disorder identification is specifically: the packetization and recombination process of the data file in the transmission process are checked, whether there is disorder phenomenon is judged by detecting the continuity and correctness of the sampling point serial number of the waveform data; If the serial number is found to be disorderly, it is determined that the data is disordered, and the waveform data needs to be measured again. If the serial number is normal, the collection anomaly detection is continued; The data collection anomaly detection is to perform rationality check on the voltage and current parameters in the waveform data, focus on detecting whether the frequency and amplitude are normal and whether there is abnormal jitter or out-of-limit value. If the frequency or amplitude is found to be abnormal, the step S3 is transferred to trigger the data file anomaly alarm; if the detection is normal, the relevant step of the intelligent disposition method is entered to complete waveform archiving.

10. The power distribution terminal abnormal waveform intelligent processing method is used for the power distribution terminal abnormal waveform intelligent identification method in claims 5, 6, 7 and 8, characterized in that: In the relevant step of the intelligent disposition method, the following steps are automatically executed based on the analysis result; The step S4-1 is to configure file alarm, specifically, if the configuration file generated by the power distribution terminal does not meet the specification and completeness requirements, it is determined that the configuration file anomaly is caused by terminal program anomaly, and the technical personnel are alarmed to troubleshoot according to the alarm prompt; The step S4-2 is waveform archiving, specifically, for the waveform data determined to be normal, the system receiving the waveform data automatically performs archiving storage operation for subsequent calling analysis; The step S4-3 is data file alarm, specifically, according to the two abnormal situations of the data file generated by the power distribution terminal, the corresponding alarm is performed: abnormal situation one is that the file size does not meet the standard requirements, and abnormal situation two is that the signal collection process is abnormal. In the alarm information, the abnormal situation one is caused by the built-in program problem of the power distribution terminal, and the abnormal situation two is caused by the collection fault of the matching sensor of the power distribution terminal, so that the technical personnel can diagnose the problem according to the alarm information.

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