An abnormal alarm processing method for GIS ultra-high frequency partial discharge online monitoring device

Abstract

The application discloses an abnormal alarm processing method and system for GIS ultrahigh frequency partial discharge online monitoring devices, comprising: when the GIS ultrahigh frequency partial discharge online monitoring device occurs partial discharge abnormal alarm, according to the first preset monitoring strategy, comprehensive monitoring is carried out, and the first monitoring data is acquired; when it is determined according to the first monitoring data that there is internal partial discharge but the first preset criterion is not met, according to the second preset monitoring strategy, comprehensive monitoring is carried out, and the second monitoring data is acquired; when it is determined according to the second monitoring data that the first preset criterion and the second preset criterion are not met at the same time, according to the third preset monitoring strategy, comprehensive monitoring is carried out, and the third monitoring data is acquired; when it is determined according to the third monitoring data that the third preset criterion is not met, according to the preset period, the alarm sensor online monitoring data is comprehensively analyzed, and the comprehensive analysis result is acquired; when the comprehensive analysis result does not meet the fourth preset criterion, the step of acquiring the comprehensive analysis result is executed, and recalculation is carried out.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission and transformation equipment state sensing, and more particularly, to an abnormal alarm processing method and system for a GIS ultra-high frequency partial discharge online monitoring device. BACKGROUND

[0002] Gas insulated switchgear (GIS) is a key device of a power system, and its main function is to remove faults in the power system and change the operation mode of the system. With the increasing requirements for power supply reliability and safe and stable operation, GIS has been widely used in power grids at all levels.

[0003] With the continuous growth of the current power grid scale, GIS partial discharge faults occur frequently, and on-site ultra-high frequency partial discharge online monitoring devices are generally installed to monitor the operation state of GIS so as to timely discover hidden dangers and carry out troubleshooting. The insulation discharge fault mechanism of GIS is complex, and the threshold alarm information of the online monitoring device cannot confirm whether there is discharge in GIS. The online monitoring device inevitably has false alarm situations. At present, when the ultra-high frequency partial discharge online monitoring device has a partial discharge abnormal alarm, there is still a lack of quantitative criteria and clear processes to deal with the partial discharge abnormal alarm. Therefore, there is an urgent need for a GIS ultra-high frequency partial discharge online monitoring device partial discharge abnormal alarm disposal strategy with quantitative criteria and clear processes. SUMMARY

[0004] The present application provides an abnormal alarm processing method and system for a GIS ultra-high frequency partial discharge online monitoring device to solve the problem of how to process the abnormal alarm of the GIS ultra-high frequency partial discharge online monitoring device.

[0005] In order to solve the above problems, according to one aspect of the present application, an abnormal alarm processing method for a GIS ultra-high frequency partial discharge online monitoring device is provided, which comprises:

[0006] When the GIS ultra-high frequency partial discharge online monitoring device has a partial discharge abnormal alarm, comprehensive monitoring is performed according to a first preset monitoring strategy to obtain first monitoring data;

[0007] When it is determined according to the first monitoring data that there is internal partial discharge but the first preset criterion is not met, comprehensive monitoring is performed according to a second preset monitoring strategy to obtain second monitoring data;

[0008] When it is determined according to the second monitoring data that the first preset criterion and the second preset criterion are not met at the same time, comprehensive monitoring is performed according to a third preset monitoring strategy to obtain third monitoring data;

[0009] comprehensive analysis of the online monitoring data of the alarm sensor is performed according to a preset period to obtain a comprehensive analysis result;

[0010] When the comprehensive analysis result does not meet the fourth preset criterion, the step of performing comprehensive analysis of the online monitoring data of the alarm sensor according to a preset period to obtain a comprehensive analysis result is re-executed, and the calculation is re-executed.

[0011] Preferably, the first preset monitoring strategy is to directly perform comprehensive monitoring greater than or equal to a first preset time threshold.

[0012] The second preset monitoring strategy is to perform comprehensive monitoring greater than or equal to a second preset time threshold at least once within a first preset time period.

[0013] The third preset monitoring strategy is to perform comprehensive monitoring greater than or equal to a third preset time threshold at least once within a second preset time period.

[0014] Preferably, the first preset criterion includes that at least two types of charged detection methods detect partial discharge signals, and the maximum discharge frequency of the ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold.

[0015] The second preset criterion includes that the ultra-high frequency positioning detection is an internal defect of a GIS gas chamber, and the defect type is non-insulation type partial discharge.

[0016] The third preset criterion includes that the ultra-high frequency positioning detection is an internal defect of a GIS gas chamber, and the defect type is insulation type partial discharge, and compared with the last monitoring period, the change value of the maximum discharge number per power frequency cycle is greater than a first preset percentage, the maximum discharge amount increases by a first preset multiple or the maximum discharge amount decreases by a second preset percentage.

[0017] The fourth preset criterion includes that the change value of the daily maximum partial discharge event number of the insulation type defect is greater than a first preset percentage, the maximum discharge amount increases by a first preset multiple or the maximum discharge amount decreases by a second preset percentage.

[0018] Preferably, the method further includes:

[0019] When it is determined according to the first monitoring data that there is no internal partial discharge, the alarm strategy or hardware of the online monitoring system is optimized.

[0020] When it is determined according to the first monitoring data that there is internal partial discharge and the first preset criterion is met, GIS disassembly and defect elimination is carried out.

[0021] when it is determined according to the second monitoring data that the first preset criterion is not met but the second preset criterion is met, returning to continue to perform the step of performing comprehensive monitoring according to the second preset monitoring strategy to obtain the second monitoring data;

[0022] when it is determined according to the second monitoring data that the first preset criterion is met, carrying out GIS disintegration and defect elimination;

[0023] when it is determined according to the third monitoring data that the third preset criterion is met, carrying out GIS disintegration and defect elimination.

[0024] Preferably, the method further comprises:

[0025] when the comprehensive analysis result meets the fourth preset criterion, re-executing the step of performing comprehensive monitoring according to the third preset monitoring strategy to obtain the third monitoring data, and re-calculating.

[0026] According to another aspect of the present application, there is provided an abnormal alarm processing system for a GIS ultra-high frequency partial discharge online monitoring device, the system comprising:

[0027] a first monitoring data obtaining unit configured to, when the GIS ultra-high frequency partial discharge online monitoring device generates a partial discharge abnormal alarm, perform comprehensive monitoring according to a first preset monitoring strategy to obtain first monitoring data;

[0028] a second monitoring data obtaining unit configured to, when it is determined according to the first monitoring data that there is internal partial discharge but the first preset criterion is not met, perform comprehensive monitoring according to a second preset monitoring strategy to obtain second monitoring data;

[0029] a third monitoring data obtaining unit configured to, when it is determined according to the second monitoring data that the first preset criterion and the second preset criterion are both not met, perform comprehensive monitoring according to a third preset monitoring strategy to obtain third monitoring data;

[0030] a comprehensive analysis unit configured to, when it is determined according to the third monitoring data that the third preset criterion is not met, perform comprehensive analysis on the alarm sensor online monitoring data according to a preset period to obtain a comprehensive analysis result;

[0031] a repeated execution unit configured to, when the comprehensive analysis result does not meet a fourth preset criterion, re-execute the step of performing comprehensive analysis on the alarm sensor online monitoring data according to the preset period to obtain a comprehensive analysis result, and re-calculate.

[0032] Preferably, the first preset monitoring strategy is to directly perform comprehensive monitoring for a period greater than or equal to a first preset time threshold.

[0033] The second preset monitoring strategy is: performing at least one comprehensive monitoring greater than or equal to a second preset time threshold in a first preset time period;

[0034] The third preset monitoring strategy is: performing at least one comprehensive monitoring greater than or equal to a third preset time threshold in a second preset time period.

[0035] Preferably, wherein the first preset criterion comprises: at least two kinds of charged detection methods detecting partial discharge signals, and the maximum discharge frequency of ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold;

[0036] The second preset criterion comprises: the ultra-high frequency positioning detection is a GIS gas chamber internal defect, and the defect type is non-insulation type partial discharge;

[0037] The third preset criterion comprises: the ultra-high frequency positioning detection is a GIS gas chamber internal defect, and the defect type is insulation type partial discharge, compared with the last monitoring period, the maximum discharge frequency change value per power frequency cycle is greater than a first preset percentage, the maximum discharge amount increases by a first preset multiple or the maximum discharge amount decreases by a second preset percentage;

[0038] The fourth preset criterion comprises: the daily maximum partial discharge event frequency change value of the insulation type defect is greater than a first preset percentage, the maximum discharge amount increases by a first preset multiple or the maximum discharge amount decreases by a second preset percentage.

[0039] Preferably, wherein the system further comprises: an optimization and disintegration defect elimination unit for:

[0040] When it is determined according to the first monitoring data that there is no internal partial discharge, optimizing the alarm strategy or hardware of the online monitoring system;

[0041] When it is determined according to the first monitoring data that there is internal partial discharge, and the first preset criterion is met, carrying out GIS disintegration defect elimination;

[0042] When it is determined according to the second monitoring data that the first preset criterion is not met but the second preset criterion is met, the second monitoring data acquisition unit continues to perform comprehensive monitoring according to the second preset monitoring strategy to obtain second monitoring data;

[0043] When it is determined according to the second monitoring data that the first preset criterion is met, carrying out GIS disintegration defect elimination;

[0044] When it is determined according to the third monitoring data that the third preset criterion is met, carrying out GIS disintegration defect elimination.

[0045] Preferably, wherein the repeated execution unit further comprises:

[0046] When the comprehensive analysis result meets the fourth preset criterion, the step of performing comprehensive monitoring according to the third preset monitoring strategy to obtain third monitoring data is re-executed, and the calculation is re-executed.

[0047] The application provides an abnormal alarm processing method and system for a GIS ultra-high frequency partial discharge on-line monitoring device, and clearly defines the clear criterion and process of the next disposal strategy when the GIS ultra-high frequency partial discharge on-line monitoring device generates an abnormal partial discharge alarm, overcomes the defects of lacking quantitative criterion and clear disposal process in the disposal process of the abnormal partial discharge alarm of the GIS ultra-high frequency partial discharge on-line monitoring device, and can further guarantee the safe and stable operation of GIS. BRIEF DESCRIPTION OF DRAWINGS

[0048] The exemplary embodiments of the present application can be more fully understood with reference to the following drawings:

[0049] Figure 1 A flowchart of the abnormal alarm processing method 100 for a GIS ultra-high frequency partial discharge on-line monitoring device according to the embodiments of the application;

[0050] Figure 2 A schematic diagram of the maximum number of events per week according to the embodiments of the application;

[0051] Figure 3 A schematic diagram of the maximum amplitude per week according to the embodiments of the application;

[0052] Figure 4 A structural schematic diagram of the abnormal alarm processing system 400 for a GIS ultra-high frequency partial discharge on-line monitoring device according to the embodiments of the application. DETAILED DESCRIPTION

[0053] Reference will now be made to the exemplary embodiments of the present application with reference to the accompanying drawings, however, the present application can be embodied in many different forms and should not be construed as limited to the embodiments set forth herein, provided as a thorough and complete disclosure of the present application and fully conveying the scope of the present application to those skilled in the art. The terms used in the exemplary embodiments represented in the accompanying drawings are not limited to the present application. In the accompanying drawings, the same elements / elements are denoted by the same reference numerals.

[0054] Unless otherwise defined, the terms used herein (including technical terms) have the meanings commonly understood by those skilled in the art. In addition, it can be understood that the terms defined in commonly used dictionaries should be understood in the context of the relevant art, and should not be understood in an idealized or overly formal sense.

[0055] Figure 1This is a flowchart of an abnormal alarm handling method 100 for an online monitoring device for ultra-high frequency partial discharge (UHF) in GIS according to an embodiment of the present invention. Figure 1 As shown, the abnormal alarm handling method for a GIS UHF partial discharge online monitoring device provided by this embodiment of the invention clarifies the explicit criteria and procedures for the next step of the handling strategy when a partial discharge abnormal alarm occurs in the GIS UHF partial discharge online monitoring device. This overcomes the shortcomings of lacking quantitative criteria and clear handling procedures in the handling of partial discharge abnormal alarms in GIS UHF partial discharge online monitoring devices, and can further ensure the safe and stable operation of GIS. The abnormal alarm handling method 100 for a GIS UHF partial discharge online monitoring device provided by this embodiment of the invention starts from step 101. In step 101, when a partial discharge abnormal alarm occurs in the GIS UHF partial discharge online monitoring device, comprehensive monitoring is performed according to a first preset monitoring strategy to obtain first monitoring data.

[0056] In step 102, when it is determined that there is internal partial discharge based on the first monitoring data but the first preset criterion is not met, comprehensive monitoring is performed according to the second preset monitoring strategy to obtain the second monitoring data.

[0057] In step 103, when it is determined from the second monitoring data that the first preset criterion and the second preset criterion are not met at the same time, comprehensive monitoring is performed according to the third preset monitoring strategy to obtain the third monitoring data.

[0058] In step 104, when it is determined from the third monitoring data that the third preset criterion is not met, the alarm sensor online monitoring data is comprehensively analyzed according to the preset period to obtain the comprehensive analysis result.

[0059] In step 105, if the comprehensive analysis result does not meet the fourth preset criterion, the step of performing comprehensive analysis on the online monitoring data of the alarm sensor according to the preset period to obtain the comprehensive analysis result is re-executed, and the calculation is recalculated.

[0060] Preferably, the first preset monitoring strategy is: to directly perform comprehensive monitoring for a period of time greater than or equal to the first preset time threshold;

[0061] The second preset monitoring strategy is: to conduct at least one comprehensive monitoring session within the first preset time period that is greater than or equal to the second preset time threshold;

[0062] The third preset monitoring strategy is to conduct at least one comprehensive monitoring session within the second preset time period that is greater than or equal to the third preset time threshold.

[0063] Preferably, the first preset criterion includes: at least two charged detection methods detect partial discharge signals, and the maximum discharge frequency of the ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold.

[0064] The second preset criterion includes: the UHF positioning detection is a defect inside the GIS air chamber, and the defect type is a non-insulating partial discharge;

[0065] The third preset criterion includes: when the UHF positioning detection is a defect inside the GIS air chamber and the defect type is insulation partial discharge, compared with the previous monitoring cycle, the change in the maximum number of discharges per power frequency cycle is greater than the first preset percentage, the maximum discharge amount increases by the first preset multiple or the maximum discharge amount decreases by the second preset percentage.

[0066] The fourth preset criterion includes: the daily maximum partial discharge event frequency change value of insulation defects is greater than the first preset percentage, the maximum discharge quantity increases by the first preset multiple or the maximum discharge quantity decreases by the second preset percentage.

[0067] Preferably, the method further includes:

[0068] When it is determined that there is no internal partial discharge based on the first monitoring data, optimize the alarm strategy or hardware of the online monitoring system;

[0069] When it is determined that there is a partial discharge inside based on the first monitoring data and the first preset criterion is met, the GIS is disassembled and the defects are eliminated.

[0070] When it is determined from the second monitoring data that the first preset criterion is not met but the second preset criterion is met, return to continue executing the step of performing comprehensive monitoring according to the second preset monitoring strategy and obtaining the second monitoring data;

[0071] When the first preset criterion is met based on the second monitoring data, GIS disassembly and defect elimination are carried out.

[0072] When the third preset criterion is met based on the third monitoring data, GIS disassembly and defect elimination are carried out.

[0073] Preferably, the method further includes:

[0074] When the comprehensive analysis result meets the fourth preset criterion, the step of performing comprehensive monitoring according to the third preset monitoring strategy, obtaining the third monitoring data, and recalculating is executed again.

[0075] In the embodiments of the present invention, the GIS UHF partial discharge online monitoring device should first meet the following requirements: the device has the ability to record the original waveform of UHF signal for at least 12 hours in real time, the number of available channels is not less than 4, and it also has the functions of automatic interference identification, automatic positioning, and pattern recognition.

[0076] In the embodiments of the present invention, abnormal alarm processing is performed based on four preset criteria.

[0077] The first preset criterion includes: at least two electrical detection methods (ultra-high frequency detection, ultrasonic detection, gas decomposition product detection, infrared thermal imaging detection, X-ray detection, etc.) detect partial discharge signals, confirming that there is a defect inside the GIS gas chamber, wherein the maximum discharge frequency of ultra-high frequency partial discharge is not less than the preset frequency threshold of 120 times / minute.

[0078] The second preset criterion includes: the UHF positioning detection is a defect inside the GIS air chamber, and the trap type is non-insulating partial discharge.

[0079] The third preset criterion includes: when the UHF positioning detection is a defect inside the GIS air chamber and the defect type is insulation partial discharge, during 12 hours of comprehensive monitoring, compared with the previous 12 hours of comprehensive monitoring, the change (increase or decrease) of the maximum number of discharges per power frequency cycle exceeds the first preset percentage by 30%, or the maximum discharge quantity increases by 10 times the first preset multiple, or the maximum discharge quantity decreases by 90% of the second preset percentage, wherein the maximum discharge frequency of UHF partial discharge is not less than 120 times / minute.

[0080] The fourth preset criterion includes: in the comprehensive analysis of weekly alarm sensor online monitoring data, compared with the previous weekly online monitoring data, the number of daily maximum partial discharge events diagnosed as insulation defects by online monitoring (increase or decrease) exceeds the first preset percentage by 30%, or the maximum discharge increases by 10 times the first preset multiple, or the maximum discharge decreases by 90% of the second preset percentage.

[0081] In an embodiment of the present invention, the abnormal alarm handling method for a GIS UHF partial discharge online monitoring device specifically includes the following steps:

[0082] Step 1: When the GIS UHF partial discharge online monitoring device generates a partial discharge abnormality alarm, immediately carry out comprehensive monitoring for no less than 12 hours according to the first preset monitoring strategy to obtain the first monitoring data;

[0083] Step 2: Confirm the presence of internal partial discharge based on the first monitoring data.

[0084] If internal partial discharge exists but the first preset criterion is not met, proceed to step 3; if internal partial discharge exists and the first preset criterion is met, contact the expert group for confirmation and carry out GIS disassembly and defect elimination, and the process ends; if there is no internal partial discharge, optimize the alarm strategy or hardware of the online monitoring system.

[0085] Step 3: When internal partial discharge exists but the first preset criterion is not met, comprehensive monitoring is carried out according to the second preset monitoring strategy, with a minimum of 6 hours of comprehensive monitoring conducted at least once a month, to obtain the second monitoring data.

[0086] Step 4: Determine whether the first preset criterion or the second preset criterion is met based on the second monitoring data.

[0087] If, during the monitoring process, it is determined that the first preset criterion is not met but the second preset criterion is met, then comprehensive monitoring will be repeated according to the second preset monitoring strategy, with at least one comprehensive monitoring session per month for no less than 6 hours, to obtain the second monitoring data, and then return to step 4; if the monitoring process fails to meet both the first and second preset criterions, then proceed to step 5; if the monitoring process meets the first preset criterion, then it is necessary to contact the expert group for confirmation and carry out GIS disassembly and defect elimination, and the process ends.

[0088] Step 5: When the second monitoring data does not meet the first preset criterion and the second preset criterion at the same time, comprehensive monitoring shall be carried out according to the third preset monitoring strategy, with a comprehensive monitoring period of no less than 12 hours once a week, to obtain the third monitoring data.

[0089] Step 6: Based on the third monitoring data, determine whether the third preset criterion is met.

[0090] If the third preset criterion is not met during the monitoring process, proceed to step 7; if the third preset criterion is met during the monitoring process, contact the expert group for confirmation and carry out GIS disassembly and defect elimination, and the process ends.

[0091] Step 7: When the third monitoring data does not meet the third preset criterion, conduct a comprehensive analysis of the online monitoring data of the alarm sensor once a week to obtain the comprehensive analysis results;

[0092] Step 8: Determine whether the comprehensive analysis results meet the fourth preset criterion.

[0093] If the comprehensive analysis results meet the fourth preset criterion, comprehensive monitoring will be carried out once a week for no less than 12 hours to obtain the third monitoring data, and then proceed to step 6; if the comprehensive analysis results do not meet the criterion, comprehensive analysis of the alarm sensor online monitoring data will be carried out once a week to obtain the comprehensive analysis results, and then step 8 will be repeated.

[0094] This invention proposes a partial discharge anomaly alarm handling strategy for GIS UHF partial discharge online monitoring devices. It clarifies the specific criteria and procedures for the next step of the handling strategy when a partial discharge anomaly alarm occurs, overcoming the shortcomings of lacking quantitative criteria and clear handling procedures in the partial discharge anomaly alarm handling process of GIS UHF partial discharge online monitoring devices.

[0095] In July 2021, an alarm signal was detected by the online monitoring sensor (G14B phase) of a 1000 kV switch at the Wuhu UHV substation of State Grid Anhui Electric Power Company. A comprehensive analysis of the online monitoring data for phase B was required weekly. According to the UHV online monitoring system, from November 15th to November 21st (week 20), the G14B phase sensor alarmed once, exhibiting insulation-related partial discharge characteristics. The maximum number of insulation-related partial discharge events was 276 times / day, with a maximum amplitude of 6.0V. In week 19, the figures were 279 times / day and 2.8V, respectively. Compared to week 19, week 20 showed increases of 0.99 times and 2.14 times, respectively. The weekly maximum number of partial discharge events and maximum amplitude are shown in the appendix. Figure 2 , 3 According to the diagnostic strategy, compared with week 19, the number of maximum partial discharge events decreased by no more than 30% and the maximum discharge amplitude increased by no more than 10 times in week 20. Based on criterion 4, comprehensive analysis of online monitoring data should continue to be carried out once a week.

[0096] Figure 4 This is a schematic diagram of the abnormal alarm processing system 400 for an online monitoring device for ultra-high frequency partial discharge (UHF) in GIS according to an embodiment of the present invention. Figure 4 As shown, the abnormal alarm processing system 400 for GIS UHF partial discharge online monitoring device provided by the embodiment of the present invention includes: a first monitoring data acquisition unit 401, a second monitoring data acquisition unit 402, a third monitoring data acquisition unit 403, a comprehensive analysis unit 404, and a repeat execution unit 405.

[0097] Preferably, the first monitoring data acquisition unit 401 is used to perform comprehensive monitoring according to the first preset monitoring strategy and acquire the first monitoring data when the GIS UHF partial discharge online monitoring device generates a partial discharge abnormality alarm.

[0098] Preferably, the second monitoring data acquisition unit 402 is used to perform comprehensive monitoring according to a second preset monitoring strategy and acquire second monitoring data when it is determined from the first monitoring data that there is internal partial discharge but the first preset criterion is not met.

[0099] Preferably, the third monitoring data acquisition unit 403 is used to perform comprehensive monitoring according to the third preset monitoring strategy and acquire third monitoring data when it is determined from the second monitoring data that the first preset criterion and the second preset criterion are not met at the same time.

[0100] Preferably, the comprehensive analysis unit 404 is used to perform comprehensive analysis on the online monitoring data of the alarm sensor according to a preset period when it is determined from the third monitoring data that the third preset criterion is not met, and to obtain the comprehensive analysis result.

[0101] Preferably, the repeat execution unit 405 is used to re-execute the step of performing comprehensive analysis on the online monitoring data of the alarm sensor according to a preset period to obtain the comprehensive analysis result when the comprehensive analysis result does not meet the fourth preset criterion, and to recalculate.

[0102] Preferably, the first preset monitoring strategy is: to directly perform comprehensive monitoring for a period of time greater than or equal to the first preset time threshold;

[0103] The second preset monitoring strategy is: to conduct at least one comprehensive monitoring session within the first preset time period that is greater than or equal to the second preset time threshold;

[0104] The third preset monitoring strategy is to conduct at least one comprehensive monitoring session within the second preset time period that is greater than or equal to the third preset time threshold.

[0105] Preferably, the first preset criterion includes: at least two charged detection methods detect partial discharge signals, and the maximum discharge frequency of the ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold.

[0106] The second preset criterion includes: the UHF positioning detection is a defect inside the GIS air chamber, and the defect type is a non-insulating partial discharge;

[0107] The third preset criterion includes: when the UHF positioning detection is a defect inside the GIS air chamber and the defect type is insulation partial discharge, compared with the previous monitoring cycle, the change in the maximum number of discharges per power frequency cycle is greater than the first preset percentage, the maximum discharge amount increases by the first preset multiple or the maximum discharge amount decreases by the second preset percentage.

[0108] The fourth preset criterion includes: the daily maximum partial discharge event frequency change value of insulation defects is greater than the first preset percentage, the maximum discharge quantity increases by the first preset multiple or the maximum discharge quantity decreases by the second preset percentage.

[0109] Preferably, the system further includes: an optimization and disassembly / defect elimination unit, used for:

[0110] When it is determined that there is no internal partial discharge based on the first monitoring data, optimize the alarm strategy or hardware of the online monitoring system;

[0111] When it is determined that there is a partial discharge inside based on the first monitoring data and the first preset criterion is met, the GIS is disassembled and the defects are eliminated.

[0112] When it is determined from the second monitoring data that the first preset criterion is not met but the second preset criterion is met, the second monitoring data acquisition unit continues to perform comprehensive monitoring according to the second preset monitoring strategy to acquire the second monitoring data.

[0113] When the first preset criterion is met based on the second monitoring data, GIS disassembly and defect elimination are carried out.

[0114] When the third preset criterion is met based on the third monitoring data, GIS disassembly and defect elimination are carried out.

[0115] Preferably, the repetitive execution unit further includes:

[0116] When the comprehensive analysis result meets the fourth preset criterion, the step of performing comprehensive monitoring according to the third preset monitoring strategy, obtaining the third monitoring data, and recalculating is executed again.

[0117] The abnormal alarm processing system 400 for an online monitoring device for UHF partial discharge in GIS according to an embodiment of the present invention corresponds to the abnormal alarm processing method 100 for an online monitoring device for UHF partial discharge in GIS according to another embodiment of the present invention, and will not be described again here.

[0118] The invention has been described with reference to a few embodiments. However, as will be known to those skilled in the art, and as defined in the appended claims, other embodiments besides those disclosed above fall equivalently within the scope of the invention.

[0119] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the art, unless otherwise expressly defined herein. All references to “a / the / the [device, component, etc.]” ​​are openly interpreted as at least one instance of said device, component, etc., unless otherwise expressly stated. The steps of any method disclosed herein need not be performed in the exact order disclosed unless explicitly stated otherwise.

[0120] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0121] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0122] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0123] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0124] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for handling abnormal alarms in a GIS UHF partial discharge online monitoring device, characterized in that, The method includes: When the GIS UHF partial discharge online monitoring device generates a partial discharge abnormality alarm, it performs comprehensive monitoring according to the first preset monitoring strategy and obtains the first monitoring data. When it is determined that there is internal partial discharge based on the first monitoring data but the first preset criterion is not met, comprehensive monitoring is performed according to the second preset monitoring strategy to obtain the second monitoring data. When it is determined from the second monitoring data that neither the first preset criterion nor the second preset criterion is met, comprehensive monitoring is performed according to the third preset monitoring strategy to obtain the third monitoring data. When it is determined from the third monitoring data that the third preset criterion is not met, the alarm sensor online monitoring data is comprehensively analyzed according to the preset cycle to obtain the comprehensive analysis result. When the comprehensive analysis result does not meet the fourth preset criterion, the step of performing comprehensive analysis on the online monitoring data of the alarm sensor according to the preset cycle to obtain the comprehensive analysis result is re-executed, and the calculation is recalculated. The first preset criterion includes: at least two charged detection methods detect partial discharge signals, and the maximum discharge frequency of the ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold. The second preset criterion includes: the UHF positioning detection is a defect inside the GIS air chamber, and the defect type is a non-insulating partial discharge; The third preset criterion includes: when the UHF positioning detection is a defect inside the GIS air chamber and the defect type is insulation partial discharge, compared with the previous monitoring cycle, the change in the maximum number of discharges per power frequency cycle is greater than the first preset percentage, the maximum discharge amount increases by the first preset multiple or the maximum discharge amount decreases by the second preset percentage. The fourth preset criterion includes: the daily maximum partial discharge event frequency change value of insulation defects is greater than the first preset percentage, the maximum discharge quantity increases by the first preset multiple or the maximum discharge quantity decreases by the second preset percentage.

2. The method according to claim 1, characterized in that, The first preset monitoring strategy is: to directly perform comprehensive monitoring that is greater than or equal to the first preset time threshold; The second preset monitoring strategy is: to conduct at least one comprehensive monitoring session within the first preset time period that is greater than or equal to the second preset time threshold; The third preset monitoring strategy is to conduct at least one comprehensive monitoring session within the second preset time period that is greater than or equal to the third preset time threshold.

3. The method according to claim 1, characterized in that, The method further includes: When it is determined that there is no internal partial discharge based on the first monitoring data, optimize the alarm strategy or hardware of the online monitoring system; When it is determined that there is a partial discharge inside based on the first monitoring data and the first preset criterion is met, the GIS is disassembled and the defects are eliminated. When it is determined from the second monitoring data that the first preset criterion is not met but the second preset criterion is met, return to continue executing the step of performing comprehensive monitoring according to the second preset monitoring strategy and obtaining the second monitoring data; When the first preset criterion is met based on the second monitoring data, GIS disassembly and defect elimination are carried out. When the third preset criterion is met based on the third monitoring data, GIS disassembly and defect elimination are carried out.

4. The method according to claim 1, characterized in that, The method further includes: When the comprehensive analysis result meets the fourth preset criterion, the step of performing comprehensive monitoring according to the third preset monitoring strategy, obtaining the third monitoring data, and recalculating is executed again.

5. An abnormal alarm processing system for an online monitoring device for ultra-high frequency partial discharge in GIS, characterized in that, The system includes: The first monitoring data acquisition unit is used to perform comprehensive monitoring according to the first preset monitoring strategy and acquire the first monitoring data when the GIS UHF partial discharge online monitoring device generates a partial discharge abnormality alarm. The second monitoring data acquisition unit is used to perform comprehensive monitoring according to the second preset monitoring strategy and acquire the second monitoring data when it is determined that there is internal partial discharge based on the first monitoring data but the first preset criterion is not met. The third monitoring data acquisition unit is used to perform comprehensive monitoring according to the third preset monitoring strategy and acquire the third monitoring data when it is determined from the second monitoring data that the first preset criterion and the second preset criterion are not met at the same time. The comprehensive analysis unit is used to perform comprehensive analysis on the online monitoring data of the alarm sensor according to a preset period when it is determined from the third monitoring data that the third preset criterion is not met, and to obtain the comprehensive analysis result. The repeat execution unit is used to re-execute the step of performing comprehensive analysis on the online monitoring data of the alarm sensor according to a preset period and obtaining the comprehensive analysis result when the comprehensive analysis result does not meet the fourth preset criterion, and to recalculate. The first preset criterion includes: at least two charged detection methods detect partial discharge signals, and the maximum discharge frequency of the ultra-high frequency partial discharge is greater than or equal to a preset frequency threshold. The second preset criterion includes: the UHF positioning detection is a defect inside the GIS air chamber, and the defect type is a non-insulating partial discharge; The third preset criterion includes: when the UHF positioning detection is a defect inside the GIS air chamber and the defect type is insulation partial discharge, compared with the previous monitoring cycle, the change in the maximum number of discharges per power frequency cycle is greater than the first preset percentage, the maximum discharge amount increases by the first preset multiple or the maximum discharge amount decreases by the second preset percentage. The fourth preset criterion includes: the daily maximum partial discharge event frequency change value of insulation defects is greater than the first preset percentage, the maximum discharge quantity increases by the first preset multiple or the maximum discharge quantity decreases by the second preset percentage.

6. The system according to claim 5, characterized in that, The first preset monitoring strategy is: to directly perform comprehensive monitoring that is greater than or equal to the first preset time threshold; The second preset monitoring strategy is: to conduct at least one comprehensive monitoring session within the first preset time period that is greater than or equal to the second preset time threshold; The third preset monitoring strategy is to conduct at least one comprehensive monitoring session within the second preset time period that is greater than or equal to the third preset time threshold.

7. The system according to claim 5, characterized in that, The system further includes an optimization and disassembly / demolition unit, used for: When it is determined that there is no internal partial discharge based on the first monitoring data, optimize the alarm strategy or hardware of the online monitoring system; When it is determined that there is a partial discharge inside based on the first monitoring data and the first preset criterion is met, the GIS is disassembled and the defects are eliminated. When it is determined from the second monitoring data that the first preset criterion is not met but the second preset criterion is met, the second monitoring data acquisition unit continues to perform comprehensive monitoring according to the second preset monitoring strategy to acquire the second monitoring data. When the first preset criterion is met based on the second monitoring data, GIS disassembly and defect elimination are carried out. When the third preset criterion is met based on the third monitoring data, GIS disassembly and defect elimination are carried out.

8. The system according to claim 5, characterized in that, The repetitive execution unit further includes: When the comprehensive analysis result meets the fourth preset criterion, the step of performing comprehensive monitoring according to the third preset monitoring strategy, obtaining the third monitoring data, and recalculating is executed again.

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