Method and device for detecting partial discharge type recognition capability of GIS (Geographic Information System) online monitoring equipment

Abstract

The invention provides a GIS online monitoring equipment partial discharge type identification capability detection method and device. The method comprises the following steps: acquiring ultrahigh-frequency real partial discharge signals with a plurality of pulses of gas insulated switchgear (GIS) under different partial discharge types, and obtaining the ultrahigh-frequency real partial discharge signals after interference elimination; processing the ultrahigh frequency real partial discharge signal after interference elimination, and generating a phase correlation partial discharge PRPD map of the ultrahigh frequency real partial discharge signal; reconstructing the ultrahigh-frequency real partial discharge signal after interference elimination by using the generated PRPD atlas of the ultrahigh-frequency real partial discharge signal to obtain a reconstructed simulation construction signal; constructing a partial discharge type identification capability detection system of the online monitoring device by using the reconstructed simulation construction signal; and determining a detection conclusion of the partial discharge type identification capability of the on-line monitoring device by using the reconstructed simulation construction signal and the partial discharge type identification capability detection system of the on-line monitoring device. Therefore, the method is high in field operability, accurate in judgment and easy to implement.

Description

Technical Field

[0001] The present invention relates to the technical field of electrical information measurement, and in particular to a method and a device for detecting the partial discharge type recognition capability of GIS online monitoring equipment. Background Art

[0002] Gas Insulated Switchgear (GIS) is a key equipment in the power system. When partial discharge occurs inside GIS due to insulation defects, it will pose a great threat to the safe operation of the power grid.

[0003] At present, the ultra high frequency (UHF) method is generally used to detect whether there is partial discharge defect inside GIS. Some manufacturers have produced GIS ultra high frequency partial discharge online monitoring devices, referred to as ultra high frequency partial discharge online monitoring equipment.

[0004] The identification of partial discharge types plays an important role in the analysis of the causes of insulation defects. Therefore, the ability to identify partial discharge types is an important factor in measuring the performance indicators of UHF partial discharge online monitoring equipment. It is of great significance to test the partial discharge type identification ability of UHF partial discharge online monitoring equipment. It is urgent to provide a technical solution for the detection of partial discharge type identification ability of UHF partial discharge online monitoring equipment. Summary of the invention

[0005] In view of this, the present invention provides a method and device for detecting the partial discharge type identification capability of GIS online monitoring equipment, aiming to solve the problem in the prior art of lacking a method for detecting the partial discharge type identification capability of ultra-high frequency partial discharge online monitoring equipment.

[0006] In a first aspect, the present invention provides a method for detecting the partial discharge type identification capability of a GIS online monitoring device, comprising:

[0007] Obtain the ultra-high frequency real partial discharge signal with multiple pulses of the gas-insulated switchgear GIS under different partial discharge types, and obtain the ultra-high frequency real partial discharge signal after eliminating interference;

[0008] Processing the ultra-high frequency real partial discharge signal after eliminating interference to generate a phase-correlated partial discharge PRPD spectrum of the ultra-high frequency real partial discharge signal;

[0009] Using the generated PRPD spectrum of the UHF real partial discharge signal, the UHF real partial discharge signal after eliminating interference is reconstructed to obtain a reconstructed simulated constructed signal;

[0010] Using the reconstructed simulation signal, a detection system for the partial discharge type recognition capability of the online monitoring device is constructed;

[0011] The reconstructed simulation signal and the on-line monitoring device partial discharge type identification capability detection system are used to determine the on-line monitoring device partial discharge type identification capability detection conclusion.

[0012] Furthermore, the method of obtaining a UHF real partial discharge signal having multiple pulses of the gas insulated switchgear GIS under different partial discharge types includes:

[0013] At the gas insulated switchgear GIS operation site, ultra-high frequency real partial discharge signals with multiple pulses under various partial discharge types are collected, among which the partial discharge type of the gas insulated switchgear partial discharge type

[0014] There are multiple built-in UHF sensors to detect the internal discharge signals of GIS;

[0015] The gas insulated switchgear is provided with at least one external space ultra-high frequency sensor for detecting discharge signals in the space outside the GIS;

[0016] The partial discharge type includes any of the following: tip defect discharge, suspension defect discharge, air gap defect discharge, particle defect discharge and poor contact current type defect discharge;

[0017] The built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 300MHz to 1500MHz.

[0018] Furthermore, the PRPD spectrum of the generated UHF real partial discharge signal is used to reconstruct the UHF real partial discharge signal after eliminating interference to obtain a reconstructed simulated constructed signal, including:

[0019] By using the generated PRPD spectrum of the UHF real partial discharge signal, the initial phase of each pulse in the UHF real partial discharge signal after eliminating interference is extracted;

[0020] Arrange the pulses of the UHF real partial discharge signal in order from small to large according to their initial phases;

[0021] Extract the signal with the initial phase between 0 and 359° in cycles, wherein at most one pulse of ultra-high frequency partial discharge signal is extracted from each phase, the same or different numbers of partial discharge signals are extracted from each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0022] The partial discharge signals are reordered, wherein the partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle are sorted in sequence from small to large according to the initial phase, so as to obtain a reconstructed simulation construction signal.

[0023] Furthermore, it also includes:

[0024] An arbitrary signal generator is used as a signal output source, and a reconstructed simulation construction signal is introduced into the arbitrary signal generator. A trigger signal is generated by a trigger device, and an industrial frequency phase controller is used to control the initial phase of the first pulse signal to be consistent with the initial phase of a real partial discharge signal collected on site, and the reconstructed simulation construction signal is output from the output signal port of the arbitrary signal generator.

[0025] Furthermore, it also includes:

[0026] Use an oscilloscope to measure and display the output signal of any signal generator;

[0027] Exporting the output signal to generate a PRPD spectrum of the simulated construction signal;

[0028] The PRPD spectrum of the generated UHF real PD signal is compared with the PRPD spectrum of the generated simulated constructed signal to determine whether the two are consistent.

[0029] Furthermore, the method of using the reconstructed simulation signal to construct a detection system for the partial discharge type identification capability of an online monitoring device includes:

[0030] The coaxial cable of the channel to be detected of the online monitoring device is connected to the output signal port of the arbitrary signal generator. The arbitrary signal generator is used as the signal output source, and the reconstructed simulation construction signal is imported into the arbitrary signal generator. The initial phase of the first pulse signal is controlled by the power frequency phase controller to be consistent with the initial phase of the real partial discharge signal collected on site. The trigger signal is generated by the trigger device and output to the trigger port of the arbitrary signal generator.

[0031] Furthermore, it also includes:

[0032] Simulate and output typical partial discharge type simulation construction signals through any signal generator;

[0033] The background program of the online monitoring device generates a recognition result in response to the injected simulated construction signal of the typical partial discharge type, and the recognition result includes a correct recognition or an incorrect recognition.

[0034] Furthermore, the use of the reconstructed simulation construction signal and the online monitoring device partial discharge type identification ability detection system to determine the online monitoring device partial discharge type identification ability detection conclusion includes:

[0035] The recognition result of the online monitoring device for typical partial discharge types is recorded as the number of correct recognitions as P, and the number of simulated constructed signals of typical partial discharge types generated by any signal generator is recorded as Q. The partial discharge type recognition rate Ф is calculated according to the following formula:

[0036] Ф=P / Q*10%,

[0037] Among them, P is a natural number, Q is a natural number, and P is not greater than Q:

[0038] When the partial discharge type recognition rate Ф is not less than the preset recognition rate, the detection conclusion is determined to be passed;

[0039] When the partial discharge type recognition rate Ф is less than the preset recognition rate, the detection conclusion is determined to be failure to pass the detection.

[0040] In a second aspect, the present invention provides a device for detecting the partial discharge type identification capability of a GIS partial discharge online monitoring device, comprising:

[0041] An acquisition unit is used to acquire a UHF real partial discharge signal having multiple pulses of a gas insulated switchgear GIS under different partial discharge types, and obtain the UHF real partial discharge signal after eliminating interference;

[0042] A spectrum generating unit, used for processing the ultra-high frequency real partial discharge signal after eliminating interference, and generating a phase-correlated partial discharge PRPD spectrum of the ultra-high frequency real partial discharge signal;

[0043] A construction signal generation unit is used to reconstruct the ultra-high frequency real partial discharge signal after eliminating interference by using the generated PRPD spectrum of the ultra-high frequency real partial discharge signal to obtain a reconstructed simulated construction signal;

[0044] A detection system construction unit, used to construct a detection system for the partial discharge type recognition capability of an online monitoring device by using the reconstructed analog construction signal;

[0045] The detection conclusion determination unit is used to determine the detection conclusion of the partial discharge type identification ability of the online monitoring device by using the reconstructed simulation construction signal and the partial discharge type identification ability detection system of the online monitoring device.

[0046] Furthermore, the method of obtaining a UHF real partial discharge signal having multiple pulses of the gas insulated switchgear GIS under different partial discharge types includes:

[0047] At the gas insulated switchgear GIS operation site, ultra-high frequency real partial discharge signals with multiple pulses under various partial discharge types are collected, among which the partial discharge type of the gas insulated switchgear partial discharge type

[0048] There are multiple built-in UHF sensors to detect the internal discharge signals of GIS;

[0049] The gas insulated switchgear is provided with at least one external space ultra-high frequency sensor for detecting discharge signals in the space outside the GIS;

[0050] The partial discharge type includes any of the following: tip defect discharge, suspension defect discharge, air gap defect discharge, particle defect discharge and poor contact current type defect discharge;

[0051] The built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 300MHz to 1500MHz.

[0052] Furthermore, the PRPD spectrum of the generated UHF real partial discharge signal is used to reconstruct the UHF real partial discharge signal after eliminating interference to obtain a reconstructed simulated constructed signal, including:

[0053] By using the generated PRPD spectrum of the UHF real partial discharge signal, the initial phase of each pulse in the UHF real partial discharge signal after eliminating interference is extracted;

[0054] Arrange the pulses of the UHF real partial discharge signal in order from small to large according to their initial phases;

[0055] Extract the signal with the initial phase between 0 and 359° in cycles, wherein at most one pulse of ultra-high frequency partial discharge signal is extracted from each phase, the same or different numbers of partial discharge signals are extracted from each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0056] The partial discharge signals are reordered, wherein the partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle are sorted in sequence from small to large according to the initial phase, so as to obtain a reconstructed simulation construction signal.

[0057] Furthermore, it also includes:

[0058] An arbitrary signal generator is used as a signal output source, and a reconstructed simulation construction signal is introduced into the arbitrary signal generator. A trigger signal is generated by a trigger device, and an industrial frequency phase controller is used to control the initial phase of the first pulse signal to be consistent with the initial phase of a real partial discharge signal collected on site, and the reconstructed simulation construction signal is output from the output signal port of the arbitrary signal generator.

[0059] Furthermore, it also includes:

[0060] Use an oscilloscope to measure and display the output signal of any signal generator;

[0061] Exporting the output signal to generate a PRPD spectrum of the simulated construction signal;

[0062] The PRPD spectrum of the generated UHF real PD signal is compared with the PRPD spectrum of the generated simulated constructed signal to determine whether the two are consistent.

[0063] Furthermore, the method of using the reconstructed simulation signal to construct a detection system for the partial discharge type identification capability of an online monitoring device includes:

[0064] The coaxial cable of the channel to be detected of the online monitoring device is connected to the output signal port of the arbitrary signal generator. The arbitrary signal generator is used as the signal output source, and the reconstructed simulation construction signal is imported into the arbitrary signal generator. The initial phase of the first pulse signal is controlled by the power frequency phase controller to be consistent with the initial phase of the real partial discharge signal collected on site. The trigger signal is generated by the trigger device and output to the trigger port of the arbitrary signal generator.

[0065] Furthermore, it also includes:

[0066] Simulate and output typical partial discharge type simulation construction signals through any signal generator;

[0067] The background program of the online monitoring device generates a recognition result in response to the injected simulated construction signal of the typical partial discharge type, and the recognition result includes a correct recognition or an incorrect recognition.

[0068] Furthermore, the use of the reconstructed simulation construction signal and the online monitoring device partial discharge type identification ability detection system to determine the online monitoring device partial discharge type identification ability detection conclusion includes:

[0069] The recognition result of the online monitoring device for typical partial discharge types is recorded as the number of correct recognitions as P, and the number of simulated constructed signals of typical partial discharge types generated by any signal generator is recorded as Q. The partial discharge type recognition rate Ф is calculated according to the following formula:

[0070] Ф=P / Q*10%,

[0071] Among them, P is a natural number, Q is a natural number, and P is not greater than Q:

[0072] When the partial discharge type recognition rate Ф is not less than the preset recognition rate, the detection conclusion is determined to be passed;

[0073] When the partial discharge type recognition rate Ф is less than the preset recognition rate, the detection conclusion is determined to be failure to pass the detection.

[0074] In a third aspect, the present invention provides a computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the method described in the first aspect.

[0075] The present invention provides a method and device for detecting the partial discharge type identification capability of GIS online monitoring equipment. After reconstructing several groups of ultra-high frequency real partial discharge signals containing different defects collected on-site into simulated ultra-high frequency partial discharge signals, an arbitrary signal generator is used to sequentially send several groups of simulated partial discharge signals containing different defects to the to-be-detected channel of the partial discharge online monitoring equipment, and the local partial discharge type identification results of different defects displayed by the online monitoring device are recorded.

[0076] In this way, the method and device for detecting the partial discharge type identification capability of GIS online monitoring equipment have the advantages of strong on-site operability, accurate judgment, and easy implementation, and can be widely used in the detection and inspection of the partial discharge type identification capability of GIS online monitoring equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0078] Figure 1 It is a flow chart of a method for detecting the partial discharge type identification capability of a GIS online monitoring device according to an embodiment of the present invention;

[0079] Figure 2 It is a schematic diagram of the on-site arrangement of ultra-high frequency sensors in the detection method for the partial discharge type identification capability of GIS online monitoring equipment according to an embodiment of the present invention;

[0080] Figure 3A It is a PRPD spectrum of a real UHF signal on site in an embodiment of the present invention;

[0081] Figure 3B A PRPD spectrum of a simulated constructed signal in an embodiment of the present invention;

[0082] Figure 4 It is a connection diagram of the partial discharge type identification capability detection system of the online monitoring device in an embodiment of the present invention;

[0083] Figure 5 It is a schematic diagram of the composition of a device for detecting the partial discharge type identification capability of a GIS partial discharge online monitoring device in an embodiment of the present invention;

[0084] Figure 6 A schematic diagram of the composition of a terminal to which the method for detecting the partial discharge type identification capability according to an embodiment of the present invention is applied;

[0085] Figure 7 It is a schematic diagram of a program product using the partial discharge type identification capability detection method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0086] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0087] There are many kinds of signal sources, including sine wave signal source, function generator, pulse generator, sweep generator, arbitrary signal generator, synthetic signal source, etc. Among them, the arbitrary signal generator is a special signal source, which has the waveform generation capability of other signal sources, and is therefore suitable for the needs of various simulation experiments.

[0088] The Phase Resolved Partial Discharge (PRPD) spectrum describes the amplitude (Y-axis) and phase angle (X-axis) of each discharge event, and can intuitively illustrate the partial discharge activity for 360 degrees of an AC cycle.

[0089] In view of the current lack of effective detection methods for the partial discharge type identification capability of ultra-high frequency partial discharge online monitoring equipment, the present invention provides a detection method for the partial discharge type identification capability of ultra-high frequency partial discharge online monitoring equipment based on partial discharge signal reconstruction, so as to effectively detect whether the online monitoring device has the partial discharge type identification capability and what the performance is.

[0090] like Figure 1 As shown, the method for detecting the partial discharge type identification capability of a GIS partial discharge online monitoring device based on partial discharge signal reconstruction according to an embodiment of the present invention includes the following steps S10 to S50.

[0091] S10: obtaining a UHF real partial discharge signal having multiple pulses of the gas insulated switchgear GIS under different partial discharge types, and obtaining the UHF real partial discharge signal after eliminating interference.

[0092] In some embodiments, ultra-high frequency real partial discharge signals with multiple pulses under a variety of different partial discharge types are collected at the gas insulated switchgear GIS operation site; interference signals in the collected ultra-high frequency real partial discharge signals are eliminated to obtain ultra-high frequency real partial discharge signals after interference elimination.

[0093] Specifically, the defect discharge type includes any of the following: tip defect discharge, suspension defect discharge, air gap defect discharge, particle defect discharge, poor contact current type defect discharge. Correspondingly, the partial discharge type includes any of the following: free metal particle discharge, suspension potential discharge, insulation type discharge, corona discharge and tip discharge.

[0094] The schematic diagram of the arrangement of the UHF sensor in the gas insulated switchgear is as follows: Figure 2 As shown, UHF sensors No. 1, 2, and 3 are built-in UHF sensors that detect partial discharge signals inside the GIS; UHF sensor No. 4 is an external UHF sensor that detects partial discharge signals outside the GIS. The external UHF sensor No. 4 can be installed at the edge of the basin insulator; if the basin insulator has a metal shield, the UHF sensor No. 4 can be installed at the pouring port. In this way, the UHF sensor No. 4 is in the external space of the GIS. Specifically, the built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 300MHz to 1500MHz.

[0095] Specifically, interference signals in the acquisition channel output signals of the three built-in UHF sensors can be eliminated by comparing the acquisition channel output signals of the three built-in UHF sensors with the acquisition channel output signals of one external UHF sensor.

[0096] The acquisition channel of each UHF sensor includes a UHF sensor, a signal conditioning circuit and an analog-to-digital conversion circuit, which will not be described in detail. The output signals of each acquisition channel have amplitudes of approximately the same order of magnitude, which will not be described in detail.

[0097] In some embodiments, a UHF real PD signal with 1000 pulses is acquired.

[0098] Naturally, the UHF real partial discharge signal with 1000 pulses may be any one of the output signals of the acquisition channels of the three built-in UHF sensors, or a weighted average of at least two output signals.

[0099] S20: Processing the ultra-high frequency real partial discharge signal after eliminating interference to generate a PRPD spectrum.

[0100] In some embodiments, it also includes: recording a PRPD spectrum of a real ultra-high frequency partial discharge signal with multiple pulses collected on-site, and extracting amplitude and phase information of the PRPD spectrum.

[0101] S30: Reconstruct the UHF real partial discharge signal after eliminating interference using the generated PRPD spectrum.

[0102] In some embodiments, the generated PRPD spectrum is used to extract the initial phase of each pulse in the UHF real partial discharge signal after eliminating interference;

[0103] Arrange the pulses of the UHF real partial discharge signal in order from small to large according to their initial phases;

[0104] Extract the signal with the initial phase between 0 and 359° in cycles, wherein at most one pulse of ultra-high frequency partial discharge signal is extracted from each phase, the same or different numbers of partial discharge signals are extracted from each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0105] The partial discharge signals are reordered, wherein the partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle (such as having the same sequence number of the cycle) are sorted in sequence from small to large according to the initial phase to obtain a simulation construction signal, which is subsequently imported into any signal generator in sequence.

[0106] According to the cycle and the initial phase, the time interval Ts between each two adjacent points of the arbitrary signal generator is calculated, and a trigger signal is generated by a trigger device according to the time interval Ts, and then input into the arbitrary signal generator to realize signal triggering.

[0107] In this way, the partial discharge signal is reproduced according to the amplitude and phase information of the PRPD spectrum, and the signal reconstruction is completed.

[0108] In some embodiments, Figure 4 As shown, an arbitrary signal generator is used as a signal output source, and the reconstructed ultra-high frequency simulated construction signal is introduced into the arbitrary signal generator 200. The output signal is triggered by the trigger device 500, and the initial phase of the first pulse signal is controlled by the power frequency phase controller 100 to be consistent with the initial phase of the real partial discharge signal collected on site. The output signal of the arbitrary signal generator is measured and displayed by an oscilloscope 300. The output signal is exported to generate a PRPD spectrum of the simulated construction signal. The PRPD spectrum of the ultra-high frequency real partial discharge signal is compared with the PRPD spectrum of the simulated construction signal to determine that the PRPD spectrum of the ultra-high frequency simulated construction signal is consistent with the PRPD spectrum of the real partial discharge signal.

[0109] Figure 3A and Figure 3B The PRPD spectrum of a typical insulation-type UHF real partial discharge signal and the PRPD spectrum of a simulated constructed signal are shown respectively. It can be seen that the two have roughly the same amplitude and phase characteristics.

[0110] In some embodiments, 1000 pulses corresponding to the ultra-high frequency real partial discharge signal are arranged in order from small to large according to their respective initial phases. The real signal data collected on site are sorted according to the phase characteristics, and the pulse signals with the same phase are placed in different periods, and reordered according to the period in which the signal is located and the initial phase of the signal, and the reordered signal is imported into an arbitrary signal generator, and a trigger sequence is set according to the time difference of each adjacent pulse signal, and imported into PicoScope as a trigger source of the arbitrary signal generator, and the first group of signals emitted are made to have the same phase as the group of signals emitted at the operation site (that is, the real partial discharge signal collected on site) through the power frequency phase controller, so as to emit a simulated constructed signal with similar PRPD spectrum characteristics to the real signal collected on site.

[0111] S40: Using the generated PRPD spectrum, a partial discharge type recognition capability detection system of the online monitoring device is constructed.

[0112] In some embodiments, the coaxial cable of the channel to be detected of the online monitoring device 400 is connected to the output signal port of any signal generator to construct the online monitoring device partial discharge type identification ability detection system 1000. The connection diagram of the online monitoring device partial discharge type identification ability detection system is as follows: Figure 4 shown.

[0113] Specifically, an arbitrary signal generator 200 is used to simulate and output a real field signal of a typical partial discharge type (using the aforementioned ultra-high frequency simulation signal) or an interference signal, and inject it into the channel to be detected of the online monitoring device 400. The background program of the online monitoring device responds to the injected simulation signal of the typical partial discharge type to generate an identification result, which includes a correct identification or an incorrect identification.

[0114] The typical partial discharge type determined after the background program of the online monitoring device processes the real on-site signal of the typical partial discharge type is obtained to verify the online monitoring device's ability to identify the typical defect partial discharge type.

[0115] S50: Determine the conclusion of the detection of the partial discharge type identification capability of the online monitoring device by utilizing the constructed detection system of the partial discharge type identification capability of the online monitoring device.

[0116] Specifically, the recognition result of the typical partial discharge type by the online monitoring device is recorded as the number of correct recognitions P, and the number of typical partial discharge type simulation construction signals generated by any signal generator is recorded as Q. Then the partial discharge type recognition rate of the monitoring device is calculated according to the following formula, where P is a natural number, Q is a natural number, and P is not greater than Q:

[0117] Ф=P / Q*10%;

[0118] When the partial discharge type recognition rate Ф is not less than the preset recognition rate, the detection conclusion is determined to be passed;

[0119] When the partial discharge type recognition rate Ф is less than the preset recognition rate, the detection conclusion is determined to be failure to pass the detection.

[0120] Generally, in the technical requirements for online monitoring devices, the preset recognition rate or partial discharge type recognition rate should be no less than 90%.

[0121] In some embodiments, the above steps S40 and S50 are repeated, and the ultra-high frequency partial discharge reconstruction signals of different partial discharge types are output in sequence according to the above steps, and the recognition ability of the current channel to be detected of the partial discharge online monitoring device for different partial discharge types is detected.

[0122] Furthermore, the channel to be detected is replaced, and the coaxial cable of the channel to be detected is connected to the output signal port of any signal generator, and the above steps S40 and S50 are repeated. The ultra-high frequency partial discharge reconstruction signals of different partial discharge types are output in sequence according to the above steps, and the recognition ability of the current channel to be detected by the partial discharge online monitoring equipment for different partial discharge types is detected.

[0123] In summary, the present invention provides a method for detecting the partial discharge type identification capability of an ultra-high frequency partial discharge online monitoring device based on partial discharge signal reconstruction, which has the advantages of strong on-site operability, accurate judgment, and easy implementation, and can be widely used in the detection and inspection of the partial discharge type identification capability of an ultra-high frequency partial discharge online monitoring device.

[0124] Best Mode

[0125] After reconstructing several groups of ultra-high frequency real partial discharge signals containing different defects collected on-site into simulated ultra-high frequency partial discharge signals, an arbitrary signal generator is used to send several groups of simulated partial discharge signals containing different defects to the detection channels of the partial discharge online monitoring equipment in sequence, and the local partial discharge type identification results of different defects displayed by the online monitoring device are recorded.

[0126] Specifically, an arbitrary signal generator outputs a simulated constructed partial discharge signal, a PicoScope oscilloscope provides a trigger signal for the arbitrary signal generator, an industrial frequency phase controller controls the initial phase of the output signal, and an online monitoring device receives the simulated constructed signal emitted by the arbitrary signal generator.

[0127] The real UHF signal collected on site is reconstructed and output through an arbitrary signal generator, with a total of 10 groups of signals of two categories (such as suspension discharge and tip discharge) output; each group of signals is sent repeatedly 5 times, and a signal is sent every 30 seconds.

[0128] The partial discharge type recognition capability of the partial discharge online monitoring equipment of the two manufacturers was tested, the partial discharge type recognition results of the partial discharge online monitoring equipment were recorded, and the recognition accuracy of the online monitoring device for various partial discharge types was calculated. The test conclusion is that the accuracy of the online monitoring device of the first manufacturer for partial discharge type recognition is 90%, and the accuracy of the online monitoring device of the second manufacturer for partial discharge type recognition is 50%. However, the online monitoring device of the first manufacturer has a certain rate of missed detection of partial discharge events, and its partial discharge event detection rate is only 55%.

[0129] like Figure 5 As shown, the GIS partial discharge online monitoring equipment partial discharge type identification capability detection device 600 according to the embodiment of the present invention includes:

[0130] An acquisition unit 610 is used to acquire a UHF real partial discharge signal having multiple pulses under different partial discharge types of the gas insulated switchgear GIS, and obtain the UHF real partial discharge signal after eliminating interference;

[0131] A spectrum generating unit 620 is used to process the UHF real partial discharge signal after eliminating interference, and generate a phase-correlated partial discharge PRPD spectrum of the UHF real partial discharge signal;

[0132] A construction signal generating unit 630 is used to reconstruct the UHF real partial discharge signal after eliminating interference by using the generated PRPD spectrum of the UHF real partial discharge signal to obtain a reconstructed simulated construction signal;

[0133] A detection system construction unit 640 is used to construct a partial discharge type recognition capability detection system of an online monitoring device using the reconstructed simulation construction signal;

[0134] The detection conclusion determination unit 650 is used to determine the detection conclusion of the partial discharge type identification ability of the online monitoring device by using the reconstructed simulation construction signal and the partial discharge type identification ability detection system of the online monitoring device.

[0135] Furthermore, the method of obtaining a UHF real partial discharge signal having multiple pulses of the gas insulated switchgear GIS under different partial discharge types includes:

[0136] At the gas insulated switchgear GIS operation site, ultra-high frequency real partial discharge signals with multiple pulses under various partial discharge types are collected, among which the partial discharge type of the gas insulated switchgear partial discharge type

[0137] There are multiple built-in UHF sensors to detect the internal discharge signals of GIS;

[0138] The gas insulated switchgear is provided with at least one external space ultra-high frequency sensor for detecting discharge signals in the space outside the GIS;

[0139] The partial discharge type includes any of the following: tip defect discharge, suspension defect discharge, air gap defect discharge, particle defect discharge and poor contact current type defect discharge;

[0140] The built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 300MHz to 1500MHz.

[0141] Furthermore, the PRPD spectrum of the generated UHF real partial discharge signal is used to reconstruct the UHF real partial discharge signal after eliminating interference to obtain a reconstructed simulated constructed signal, including:

[0142] By using the generated PRPD spectrum of the UHF real partial discharge signal, the initial phase of each pulse in the UHF real partial discharge signal after eliminating interference is extracted;

[0143] Arrange the pulses of the UHF real partial discharge signal in order from small to large according to their initial phases;

[0144] Extract the signal with the initial phase between 0 and 359° in cycles, wherein at most one pulse of ultra-high frequency partial discharge signal is extracted from each phase, the same or different numbers of partial discharge signals are extracted from each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded;

[0145] The partial discharge signals are reordered, wherein the partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle are sorted in sequence from small to large according to the initial phase, so as to obtain a reconstructed simulation construction signal.

[0146] Furthermore, it also includes:

[0147] An arbitrary signal generator is used as a signal output source, and a reconstructed simulation construction signal is introduced into the arbitrary signal generator. A trigger signal is generated by a trigger device, and an industrial frequency phase controller is used to control the initial phase of the first pulse signal to be consistent with the initial phase of a real partial discharge signal collected on site, and the reconstructed simulation construction signal is output from the output signal port of the arbitrary signal generator.

[0148] Furthermore, it also includes:

[0149] Use an oscilloscope to measure and display the output signal of any signal generator;

[0150] Exporting the output signal to generate a PRPD spectrum of the simulated construction signal;

[0151] The PRPD spectrum of the generated UHF real PD signal is compared with the PRPD spectrum of the generated simulated constructed signal to determine whether the two are consistent.

[0152] Furthermore, the method of using the reconstructed simulation signal to construct a detection system for the partial discharge type identification capability of an online monitoring device includes:

[0153] The coaxial cable of the channel to be detected of the online monitoring device is connected to the output signal port of the arbitrary signal generator. The arbitrary signal generator is used as the signal output source, and the reconstructed simulation construction signal is imported into the arbitrary signal generator. The initial phase of the first pulse signal is controlled by the power frequency phase controller to be consistent with the initial phase of the real partial discharge signal collected on site. The trigger signal is generated by the trigger device and output to the trigger port of the arbitrary signal generator.

[0154] Furthermore, it also includes:

[0155] Simulate and output typical partial discharge type simulation construction signals through any signal generator;

[0156] The background program of the online monitoring device generates a recognition result in response to the injected simulated construction signal of the typical partial discharge type, and the recognition result includes a correct recognition or an incorrect recognition.

[0157] Furthermore, the use of the reconstructed simulation construction signal and the online monitoring device partial discharge type identification ability detection system to determine the online monitoring device partial discharge type identification ability detection conclusion includes:

[0158] The recognition result of the online monitoring device for typical partial discharge types is recorded as the number of correct recognitions as P, and the number of simulated constructed signals of typical partial discharge types generated by any signal generator is recorded as Q. The partial discharge type recognition rate Ф is calculated according to the following formula:

[0159] Ф=P / Q*10%,

[0160] Among them, P is a natural number, Q is a natural number, and P is not greater than Q:

[0161] When the partial discharge type recognition rate Ф is not less than the preset recognition rate, the detection conclusion is determined to be passed;

[0162] When the partial discharge type recognition rate Ф is less than the preset recognition rate, the detection conclusion is determined to be failure to pass the detection.

[0163] In summary, the present invention provides a device for detecting the partial discharge type identification capability of an ultra-high frequency partial discharge online monitoring device based on partial discharge signal reconstruction, which has the advantages of strong on-site operability, accurate judgment, and easy implementation, and can be widely used in the detection and inspection of the partial discharge type identification capability of an ultra-high frequency partial discharge online monitoring device.

[0164] The embodiment of the present invention also provides a terminal to execute the above-mentioned GIS partial discharge online monitoring equipment partial discharge type identification capability detection method. Figure 6As shown, the terminal 8 includes: a processor 800, a memory 801, a bus 802 and a communication interface 803, wherein the processor 800, the communication interface 803 and the memory 801 are connected via the bus 802; the memory 801 stores a computer program that can be run on the processor 800, and the processor 800 executes the method provided by any embodiment of the present invention when running the computer program.

[0165] The memory 801 may include a high-speed random access memory (RAM), and may also include a non-volatile memory (Non-volatile Memory), such as at least one disk storage. The communication connection between the device network element and at least one other network element is realized through at least one communication interface 803 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used.

[0166] The bus 802 may be an ISA bus, a PCI bus, or an EISA bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The memory 801 is used to store programs, and the processor 800 executes the programs after receiving execution instructions. The method disclosed in any implementation of the embodiment of the present invention may be applied to the processor 800, or implemented by the processor 800.

[0167] The processor 800 may be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the method can be completed by the hardware integrated logic circuit in the processor 800 or the instruction in the form of software. The processor 800 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present invention can be implemented or executed. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in the embodiments of the present invention may be directly embodied as being executed by a hardware decoding processor, or executed by a combination of hardware and software modules in a decoding processor. The software module may be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in the memory 801, and the processor 800 reads the information in the memory 801 and completes the steps of the method in combination with its hardware.

[0168] The terminal provided in the embodiment of the present invention and the detection method provided in the aforementioned implementation manner are based on the same inventive concept and have the same beneficial effects as the methods adopted, run or implemented therein.

[0169] like Figure 7 As shown, an embodiment of the present invention also provides a computer-readable storage medium corresponding to the method for detecting the partial discharge type identification capability of a GIS partial discharge online monitoring device provided in the aforementioned embodiment. The computer-readable storage medium is a CD on which a computer program (i.e., program product 900) is stored. When the computer program is run by a processor, it will execute the method provided in any of the aforementioned embodiments.

[0170] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0171] The computer-readable storage medium provided by the embodiment of the present invention is based on the same inventive concept as the method of the embodiment of the present invention, and has the same beneficial effects as the method adopted, run or implemented by the application program stored therein.

[0172] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these adjustments and modifications of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these changes and modifications.

Claims

1. A method for detecting the partial discharge type identification capability of GIS online monitoring equipment, characterized in that: include: Obtain the ultra-high frequency real partial discharge signal with multiple pulses of the gas-insulated switchgear GIS under different partial discharge types, and obtain the ultra-high frequency real partial discharge signal after eliminating interference; Processing the ultra-high frequency real partial discharge signal after eliminating interference to generate a phase-correlated partial discharge PRPD spectrum of the ultra-high frequency real partial discharge signal; Using the generated PRPD spectrum of the UHF real partial discharge signal, the UHF real partial discharge signal after eliminating interference is reconstructed to obtain a reconstructed simulated constructed signal; Using the reconstructed simulation signal, a detection system for the partial discharge type recognition capability of the online monitoring device is constructed; The reconstructed simulation signal and the on-line monitoring device partial discharge type identification capability detection system are used to determine the on-line monitoring device partial discharge type identification capability detection conclusion.

2. The GIS online monitoring equipment partial discharge type identification ability detection method according to claim 1 is characterized in that: The method of obtaining a UHF real partial discharge signal having multiple pulses of a gas insulated switchgear GIS under different partial discharge types includes: Collecting ultra-high frequency real partial discharge signals with multiple pulses under various partial discharge types at the operation site of the gas-insulated switchgear GIS, wherein the partial discharge type of the gas-insulated switchgear partial discharge type is provided with multiple built-in ultra-high frequency sensors for detecting the internal discharge signal of the GIS; The gas insulated switchgear is provided with at least one external space ultra-high frequency sensor for detecting discharge signals in the space outside the GIS; The partial discharge type includes any of the following: tip defect discharge, suspension defect discharge, air gap defect discharge, particle defect discharge and poor contact current type defect discharge; The built-in UHF sensor or the external space UHF sensor is a broadband UHF sensor of 300MHz to 1500MHz.

3. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 1, characterized in that: The method of using the generated PRPD spectrum of the ultra-high frequency real partial discharge signal to reconstruct the ultra-high frequency real partial discharge signal after eliminating interference to obtain a reconstructed simulated construction signal includes: By using the generated PRPD spectrum of the UHF real partial discharge signal, the initial phase of each pulse in the UHF real partial discharge signal after eliminating interference is extracted; Arrange the pulses of the UHF real partial discharge signal in order from small to large according to their initial phases; Extract the signal with the initial phase between 0 and 359° in cycles, wherein at most one pulse of ultra-high frequency partial discharge signal is extracted from each phase, the same or different numbers of partial discharge signals are extracted from each cycle, and the serial number of the cycle in which each partial discharge signal is located is recorded; Rearrange the partial discharge signals, where the partial discharge signals are reordered from small to large according to the sequence number of the cycle, and the signals in the same cycle are sorted from small to large according to the initial phase, to obtain the reconstructed simulation construction signal. Partial discharge type identification of GIS online monitoring equipment.

4. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 3, characterized in that: Also includes: An arbitrary signal generator is used as a signal output source, and a reconstructed simulation construction signal is introduced into the arbitrary signal generator. A trigger signal is generated by a trigger device, and an industrial frequency phase controller is used to control the initial phase of the first pulse signal to be consistent with the initial phase of a real partial discharge signal collected on site, and the reconstructed simulation construction signal is output from the output signal port of the arbitrary signal generator.

5. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 4, characterized in that: Also includes: Use an oscilloscope to measure and display the output signal of any signal generator; Exporting the output signal to generate a PRPD spectrum of the simulated construction signal; The PRPD spectrum of the generated UHF real PD signal is compared with the PRPD spectrum of the generated simulated constructed signal to determine whether the two are consistent.

6. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 5, characterized in that: The method of using the reconstructed simulation signal to construct a partial discharge type recognition capability detection system for an online monitoring device includes: The coaxial cable of the channel to be detected of the online monitoring device is connected to the output signal port of the arbitrary signal generator. The arbitrary signal generator is used as the signal output source, and the reconstructed simulation construction signal is imported into the arbitrary signal generator. The initial phase of the first pulse signal is controlled by the power frequency phase controller to be consistent with the initial phase of the real partial discharge signal collected on site. The trigger signal is generated by the trigger device and output to the trigger port of the arbitrary signal generator.

7. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 6, characterized in that: Also includes: Simulate and output typical partial discharge type simulation construction signals through any signal generator; The background program of the online monitoring device generates a recognition result in response to the injected simulated construction signal of the typical partial discharge type, and the recognition result includes a correct recognition or an incorrect recognition.

8. The method for detecting the partial discharge type identification capability of GIS online monitoring equipment according to claim 7, characterized in that: The method of using the reconstructed simulation signal and the on-line monitoring device partial discharge type recognition capability detection system to determine the on-line monitoring device partial discharge type recognition capability detection conclusion includes: The recognition result of the online monitoring device for typical partial discharge types is recorded as the number of correct recognitions as P, and the number of simulated constructed signals of typical partial discharge types generated by any signal generator is recorded as Q. The partial discharge type recognition rate Ф is calculated according to the following formula: Ф=P / Q*10%, Among them, P is a natural number, Q is a natural number, and P is not greater than Q: When the partial discharge type recognition rate Ф is not less than the preset recognition rate, the detection conclusion is determined to be passed; When the partial discharge type recognition rate Ф is less than the preset recognition rate, the detection conclusion is determined to be failure to pass the detection.

9. A device for detecting the ability of partial discharge type identification of GIS partial discharge online monitoring equipment, characterized in that: include: An acquisition unit is used to acquire a UHF real partial discharge signal having multiple pulses of a gas insulated switchgear GIS under different partial discharge types, and obtain the UHF real partial discharge signal after eliminating interference; A spectrum generating unit, used for processing the ultra-high frequency real partial discharge signal after eliminating interference, and generating a phase-correlated partial discharge PRPD spectrum of the ultra-high frequency real partial discharge signal; A construction signal generation unit is used to reconstruct the ultra-high frequency real partial discharge signal after eliminating interference by using the generated PRPD spectrum of the ultra-high frequency real partial discharge signal to obtain a reconstructed simulated construction signal; A detection system construction unit, used to construct a detection system for the partial discharge type recognition capability of an online monitoring device by using the reconstructed analog construction signal; The detection conclusion determination unit is used to determine the detection conclusion of the partial discharge type identification ability of the online monitoring device by using the reconstructed simulation construction signal and the partial discharge type identification ability detection system of the online monitoring device.

10. A computer-readable storage medium, characterized in that: Computer executable instructions are stored, and the computer executable instructions are used to execute the method according to any one of claims 1 to 8.

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