Correlation observation method and system for particle motion and discharge, medium and equipment

Abstract

The invention discloses an associated observation method, system, medium and equipment for particle motion and discharge under superposed voltage, and the method comprises the steps: building a combined detection platform for the discharge and motion of metal particles in a GIS under the superposed voltage; applying alternating current superposition impulse voltage to metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; partial discharge characteristics in the n groups of original discharge waveform data are extracted and calculated, wherein the partial discharge characteristics comprise discharge capacity, average discharge delay time delta t1 between an impact applying moment and a partial discharge starting moment and a PRPD spectrogram; extracting and calculating n groups of motion frame-by-frame video data frame by frame to obtain a take-off height and take-off time delta t2 after impact is applied; and calculating a covariance and standard deviation ratio r1 of the average discharge delay time delta t1 and the take-off time delta t2 after the impact is applied, and a covariance and standard deviation ratio r2 of the discharge capacity and the take-off height, and identifying the motion and discharge relationship of the GIS metal particles in combination with the prpd spectrogram.

Description

Technical Field

[0001] The present invention relates to the technical field of GIS metal particle monitoring, and in particular to a method, system, medium and equipment for correlation observation of particle movement and discharge under superimposed voltage. Background Art

[0002] In recent years, with the rapid development of urbanization and the large-scale construction of high-voltage power grids, power accidents caused by gas insulated switchgear (GIS) failures have also increased, directly affecting the safety of energy transmission channels and the stability of the entire power grid system. GIS failures are mainly caused by insulation defects that occur during production, transportation, assembly and operation. The probability of insulation failure caused by metal particles and foreign matter is the highest, accounting for more than 20% of the total number of all insulation failure types, which is worth in-depth research.

[0003] In view of the special working conditions of power frequency superimposed switching impulse voltage in actual engineering, SF 6 Regarding the insulation failure problem caused by metal particles in the equipment, the current understanding of the movement behavior of metal particles and local discharge characteristics under the special working condition of AC superimposed impulse voltage is still insufficient, and it is impossible to provide a scientific explanation for the sudden failure of equipment under the action of superimposed operating voltage when metal particles exist.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the invention and therefore it may contain information that does not form the prior art that is already known to a person of ordinary skill in the art. Summary of the invention

[0005] The present invention provides a method, system, medium and equipment for observing the correlation between particle motion and discharge under superimposed voltage, which solves the current problem of lack of correlation between the interpretation of mechanical motion characteristics and discharge characteristics of metal particle defects inside GIS, especially the understanding and interpretation of discharge hysteresis time Δt1.

[0006] A method for observing the correlation between particle motion and discharge under superposition voltage includes: Step S1: Building a joint detection platform for discharge and movement of metal particles in GIS under superimposed voltage; Step S2: applying an AC superimposed impulse voltage to the metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; Step S3: extracting and calculating the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; Step S4: extracting and calculating n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; Step S5: Calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after impact application, as well as the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and combine the PRPD spectrum to identify the movement and discharge relationship of GIS metal particles.

[0007] In the method for correlating observation of particle motion and discharge under superimposed voltage, in step S1, the joint detection platform for discharge and motion of metal particles in GIS includes a power frequency test system, an impact circuit, a spherical gap synchronous trigger circuit and a partial discharge and motion measurement circuit, wherein the partial discharge and motion measurement circuit includes a high-frequency pulse current sensor, a detection impedance, a high-speed camera, a partial discharge detector and a digital oscilloscope.

[0008] In the method for correlating particle motion and discharge under superimposed voltage, in step S2, a high-frequency pulse current sensor and a partial discharge detector are used to measure the partial discharge of metal particles in GIS under AC superimposed impulse voltage to obtain n groups of original discharge waveform data, and a 3000-frame high-speed motion camera is used to record the motion characteristics of metal particles in GIS to obtain n groups of motion frame-by-frame video data.

[0009] In the method for correlation observation of particle motion and discharge under superposition voltage, in step S5, the covariance and standard deviation ratio r1 and the covariance and standard deviation ratio r2 are calculated: Where X i and Y i is the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to the i-th group of original discharge waveform data; is the average value of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to n groups of original discharge waveform data, Z i and H i is the discharge amount and take-off height corresponding to the i-th group of original discharge waveform data; are the average values ​​of discharge amount and take-off height corresponding to n groups of original discharge waveform data respectively.

[0010] In the method for correlation observation of particle motion and discharge under superimposed voltage, the AC superimposed impulse voltage is superimposed on the AC voltage at a phase of 270°.

[0011] In the method for observing the correlation between particle movement and discharge under superposition voltage, the discharge hysteresis time Δt is extracted by first obtaining the moment of applying the 270° impulse voltage and detecting the moment of starting partial discharge, and then taking the difference between the two moments, with the time interval being the average discharge hysteresis time Δt1 under a single impulse; the discharge amount is extracted by obtaining the discharge amount under m discharge cycles, counting the discharge amount under m discharge cycles by a partial discharge instrument, and taking the single discharge starting height at the same moment when calculating the covariance and standard deviation ratio r2; the PRPD spectrum is extracted by first obtaining the discharge amplitude and power frequency voltage phase angle under m discharge cycles, and deriving the PRPD spectrum by the partial discharge detector.

[0012] In the correlation observation method of particle movement and discharge under superposition voltage, the covariance and standard deviation of the corresponding average discharge delay time Δt1 and the take-off time Δt2 after impact application are calculated, and the ratio is the covariance and standard deviation ratio r1; the covariance and standard deviation of the corresponding discharge amount Z and the take-off height H are calculated, and the ratio is the covariance and standard deviation ratio r2, When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is in (0.33-1), it means that there is a positive linear relationship between the corresponding discharge signal characteristics and the motion characteristics, that is, the discharge characteristics increase with the intensification of the motion characteristics. When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is between (-1--0.33), it means that there is a negative linear relationship between the corresponding discharge signal characteristics and the motion characteristics, that is, the discharge characteristics decrease as the motion characteristics intensify. When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is between (-0.33-0.33), it means that there is no linear relationship between the corresponding discharge characteristics and movement characteristics.

[0013] Combined with the PRPD spectrum, the severity of local discharge, the concentration of discharge phase and the characteristics of local discharge are jointly judged through the symmetry, range and envelope changes of the spectrum, so as to find the correlation characteristics between particle motion and local discharge by corresponding motion states under different discharge characteristics.

[0014] A system for implementing the method comprises: A joint detection platform for metal particle discharge and movement in GIS, which detects the discharge and movement of metal particles; An acquisition unit is used to apply an AC superimposed impulse voltage to metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; A first extraction unit, which is used to extract and calculate the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; The second extraction unit is used to extract and calculate n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; The calculation unit is used to calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied, and the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and associate them to identify the movement and discharge relationship of the GIS metal particles.

[0015] A computer storage medium includes computer instructions, which, when executed on a computer, cause the computer to execute the method described.

[0016] An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method described is implemented.

[0017] Compared with the prior art, the present invention has the following advantages: the present invention obtains n groups of original discharge waveform data and high-speed motion frame-by-frame video respectively, extracts and calculates local discharge characteristics in n groups of original data waveforms, including discharge amount, average discharge hysteresis time Δt1 between impact application time and partial discharge start time, and PRPD spectrum, and n groups of high-speed motion characteristics of particles under superimposed voltage application, including take-off height, take-off time Δt2 after impact application, etc., by calculating the covariance and standard deviation ratio r1 of discharge hysteresis time Δt1 and take-off time Δt2 after impact application, and the covariance and standard deviation ratio r2 of discharge amount and take-off height, and combining PRPD spectrum to deeply study GIS metal particle defects. The experimental platform provides a controlled experimental environment to ensure the reliability and consistency of data. The data acquisition unit ensures the time synchronization of discharge waveform data and high-speed video data. The feature extraction unit extracts key parameters from the original data to provide a basis for subsequent analysis. The calculation unit evaluates the relationship between discharge characteristics and motion characteristics by calculating the covariance and standard deviation ratio of these parameters, thereby identifying potential metal particle defects. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] By reading the detailed description of the preferred specific embodiments below, various other advantages and benefits of the present invention will become clear to those of ordinary skill in the art. The drawings in the specification are only for the purpose of illustrating the preferred embodiments and are not considered to be limitations of the present invention. Obviously, the drawings described below are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative work. Moreover, the same reference numerals are used to represent the same components throughout the drawings.

[0019] In the attached picture: Figure 1 is a flow chart of a method for correlation observation of particle motion and discharge under superposition voltage in one embodiment of the present invention; Figure 2 It is a structural schematic diagram of an AC and impulse voltage superposition test platform for a method for observing the correlation between particle movement and discharge under superposition voltage in one embodiment of the present invention.

[0020] The present invention is further explained below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0021] The specific embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the specific embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0022] It should be noted that certain words are used in the specification and claims to refer to specific components. Those skilled in the art should understand that technicians may use different nouns to refer to the same component. This specification and claims do not use the difference in nouns as a way to distinguish components, but use the difference in the functions of the components as the criterion for distinction. As mentioned throughout the specification and claims, "including" or "comprising" is an open term, so it should be interpreted as "including but not limited to". The subsequent description of the specification is a preferred embodiment of the present invention, but the description is based on the general principles of the specification and is not intended to limit the scope of the present invention. The scope of protection of the present invention shall be determined by the attached claims.

[0023] To facilitate understanding of the embodiments of the present invention, further explanation will be given below by taking specific embodiments as examples in conjunction with the accompanying drawings, and each of the accompanying drawings does not constitute a limitation on the embodiments of the present invention.

[0024] like Figure 1 to Figure 2 As shown, the correlation observation method of particle motion and discharge under superposition voltage includes the following steps: Step S1: Building a joint detection platform for discharge and movement of metal particles in GIS under superimposed voltage; Step S2: applying an AC superimposed impulse voltage to the metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; Step S3: extracting and calculating the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; Step S4: extracting and calculating n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; Step S5: Calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after impact application, as well as the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and combine the PRPD spectrum to identify the movement and discharge relationship of GIS metal particles.

[0025] In a preferred embodiment of the method for observing the correlation between particle movement and discharge under superimposed voltage, in step S1, the joint detection platform for metal particle discharge and movement in GIS includes a power frequency test system (100kV / 10kVA), an impact circuit (100kV), a ball gap synchronous trigger circuit, a partial discharge and movement measurement circuit and a protection device. The schematic diagram of the experimental platform is as follows: Figure 2 As shown in the system, T 1 It is a 100kV / 50kVA test transformer. R 1 , R 2 To protect the resistor, voltage divider 2 (1000:1) is used to obtain the voltage signal on the test sample and transmit it to the "phase synchronization trigger control system" module of the ball gap synchronization trigger, which can generate a ball gap trigger signal at the set power frequency phase. The impact circuit consists of a voltage doubler circuit (including a 50kV / 5kVA voltage regulator T 2 ,capacitance C 0 , C 1 and high voltage silicon stack D 1 , D 2 )、Discharge trigger ball gap g 1 , Isolation protection ball gap g 2 , wave head resistance R f and wave tail resistance R t The voltage doubler circuit uses the charging and discharging effect of the capacitor and is composed of multiple rectifier diodes and capacitors with high voltage resistance. It can obtain an output voltage that is twice the secondary voltage of the transformer. 1 Gap between isolation protection ball and g 2 The trigger signals of the two detectors are the same and are both generated by a synchronous trigger through optical fiber transmission. The simultaneous triggering of the two ensures the reliability of the voltage waveform superimposed on the test object. R f , R t The resistance value affects the wavefront time and half-peak time of the impulse voltage generated by the impulse circuit.

[0026] The power frequency test system is connected in parallel with the impact circuit and is protected by the ball gap g 2 Isolation is achieved to prevent the impact side circuit from being affected by the power frequency voltage, so as to ensure the accuracy of the impact circuit triggering. After the ball gap synchronous trigger obtains the AC phase information from the voltage divider 2, it is processed and analyzed by the phase synchronous trigger control system to control g 1 and g 2 The breakdown conduction can achieve accurate superposition of impulse voltage at any specific phase of AC. The capacitive voltage divider 1 is connected in parallel with the test object to measure the superposition voltage, thus providing a phase reference for the partial discharge signal.

[0027] The partial discharge and motion characteristics detection circuit is mainly composed of a high-frequency pulse current sensor (HFCT), a detection impedance, a high-speed camera (3000FPS), a partial discharge detector DDX9121b, and a high-resolution digital oscilloscope Tektronix HDO9104. In this patent, the pulse current method is mainly used to measure and record the partial discharge time domain signal of the test sample through a high-frequency pulse current sensor HFCT (frequency band 800kHz~102MHz) and an oscilloscope HDO9104 (bandwidth 1GHz, storage depth 108Mpts, sampling rate up to 40GS / s); and a 50Ω detection impedance (bandwidth 500MHz) and a partial discharge detector DDX9121b (sensitivity <0.1pC, bandwidth 30kHz-1.5MHz) are used to record the partial discharge PRPD spectrum. The partial discharge detector is based on AKV9310 passive measurement impedance and is connected to a computer via a fiber optic local area cable. It can record the partial discharge pulse of each voltage cycle and directly read the discharge amount of the discharge pulse after calibration.

[0028] In a preferred embodiment of the method for correlating observation of particle motion and discharge under a superimposed voltage, in step S2, a high-frequency pulse current sensor and a local discharge detector are used to measure the local discharge of metal particles in GIS under an AC superimposed impulse voltage to obtain n groups of original discharge waveform data, and a 3000-frame high-speed motion camera is used to record the motion characteristics of metal particles in GIS to obtain n groups of motion frame-by-frame video data.

[0029] In a preferred embodiment of the correlation observation method of particle motion and discharge under superposition voltage, in step S5, the covariance and standard deviation ratio r1 and the covariance and standard deviation ratio r2 are calculated: Where X i and Y iis the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to the i-th group of original discharge waveform data; is the average value of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to n groups of original discharge waveform data, Z i and H i is the discharge amount and take-off height corresponding to the i-th group of original discharge waveform data; are the average values ​​of discharge amount and take-off height corresponding to n groups of original discharge waveform data respectively.

[0030] In a preferred implementation of the method for correlation observation of particle motion and discharge under superimposed voltage, the AC superimposed impulse voltage is superimposed on the AC voltage at a phase of 270°.

[0031] In a preferred embodiment of the method for observing the correlation between particle movement and discharge under superimposed voltage, the discharge hysteresis time Δt is extracted by first obtaining the moment of applying the 270° impulse voltage and detecting the moment of starting partial discharge, and then taking the difference between the two moments, with the time interval being the average discharge hysteresis time Δt1 under a single impulse; the discharge amount is extracted by obtaining the discharge amount under m discharge cycles, and counting the discharge amount under m discharge cycles by a partial discharge instrument, and taking the single discharge starting height at the same moment when calculating the covariance and standard deviation ratio r2; the PRPD spectrum is extracted by first obtaining the discharge amplitude and power frequency voltage phase angle under m discharge cycles, and deriving the PRPD spectrum by the partial discharge detector.

[0032] In a preferred embodiment of the correlation observation method of particle motion and discharge under superimposed voltage, the covariance and standard deviation of the corresponding average discharge delay time Δt1 and the take-off time Δt2 after impact application are calculated, and the ratio is the covariance and standard deviation ratio r1; the covariance and standard deviation of the corresponding discharge amount Z and the take-off height H are calculated, and the ratio is the covariance and standard deviation ratio r2, When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is in (0.33-1), it means that there is a positive linear relationship between the corresponding discharge signal characteristics and the motion characteristics, that is, the discharge characteristics increase with the intensification of the motion characteristics. When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is between (-1--0.33), it means that there is a negative linear relationship between the corresponding discharge signal characteristics and the motion characteristics, that is, the discharge characteristics decrease as the motion characteristics intensify. When the covariance and standard deviation ratio r1 or the covariance and standard deviation ratio r2 is between (-0.33-0.33), it means that there is no linear relationship between the corresponding discharge characteristics and movement characteristics.

[0033] Combined with the PRPD spectrum, the severity of local discharge, the concentration of discharge phase and the characteristics of local discharge are jointly judged through the symmetry, range and envelope changes of the spectrum, so as to find the correlation characteristics between particle motion and local discharge by corresponding motion states under different discharge characteristics.

[0034] A system for implementing the method comprises: A joint detection platform for metal particle discharge and movement in GIS, which detects the discharge and movement of metal particles; An acquisition unit is used to apply an AC superimposed impulse voltage to metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; A first extraction unit, which is used to extract and calculate the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; The second extraction unit is used to extract and calculate n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; The calculation unit is used to calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied, and the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and associate them to identify the movement and discharge relationship of the GIS metal particles.

[0035] A computer storage medium includes computer instructions, which, when executed on a computer, cause the computer to execute the method described.

[0036] An electronic device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method described is implemented.

[0037] In one embodiment, a method for observing the correlation between particle motion and discharge under superposition voltage includes the following steps: S1: Build a joint detection platform for the discharge characteristics and high-speed motion characteristics of metal particles under superimposed voltage.

[0038] Specifically, in this embodiment, in step S1, a power frequency superimposed impulse voltage test system and a partial discharge characteristic and high-speed motion characteristic detection system are built.

[0039] In actual use, the system construction specifically includes the test platform including the power frequency test system (100kV / 10kVA), impact circuit (100kV), ball gap synchronous trigger circuit, partial discharge measurement circuit, high-speed camera motion observation circuit and protection devices.

[0040] S2: The metal particles in GIS are studied by superimposing AC impulse voltage, and n groups of original discharge waveform data and high-speed motion frame-by-frame videos are obtained.

[0041] In actual use, the value of n is set according to actual needs and is not fixed here. Exemplary n can be 10, 15, 20 or other values. When the value of n is larger, the reliability of the covariance to standard deviation ratio r obtained in the following steps is higher.

[0042] Specifically, in this embodiment, the corresponding relationship between the n groups of original waveform data respectively obtained by the two observation methods is as follows: the n groups of original waveform data correspond to the n groups of high-speed motion video time scales one by one.

[0043] The process of step S2 is as follows: based on the high-frequency pulse current sensor, detection impedance, partial discharge detector and high-resolution digital oscilloscope, n groups of partial discharge raw data are detected and recorded; based on the 3000-frame high-speed camera, the original frame-by-frame video of the mechanical motion state of the metal particles from the moment of superposition application is observed and recorded; it is necessary to ensure that an external trigger is used to connect the camera and the "phase synchronization trigger control system" module, and the square wave pulse signal is sent uniformly from the outside to the internal CPU of the camera to trigger recording, so as to ensure the simultaneity of the application time of the AC superimposed impulse voltage, so as to effectively compare the relationship between the discharge hysteresis time Δt1 and the starting time Δt2 after the impulse is applied.

[0044] S3: extract and calculate the local discharge characteristics in n groups of original data waveforms, including the discharge amount, the discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum.

[0045] Specifically, in this embodiment, the method of extracting and calculating the partial discharge characteristics in n groups of original data waveforms in step S3 is as follows: First, m discharge cycles are selected from the partial discharge signal pulse sequence corresponding to each set of original waveform data, where m is a positive integer, and an exemplary m is 50; For the discharge delay time Δt1, the extraction method is: first obtain the impact application time and the partial discharge start time, and then take the difference between the two times. This time interval is the discharge delay time Δt1 under a single impact; For the discharge amount x, the extraction method is: use the partial discharge instrument to count the discharge amount of m discharge cycles, and when obtaining the starting height of a single discharge, the discharge amount of the same discharge must be obtained; For the PRPD spectrum, the extraction method is: first obtain the discharge amplitude and power frequency voltage phase angle under m discharge cycles, and derive the PRPD spectrum from the partial discharge detector.

[0046] S4: extract and calculate frame by frame the high-speed motion characteristics of the particles under n groups of applied superimposed voltages, including the take-off height, the take-off time Δt2 after the impact is applied, etc.

[0047] Specifically, in this embodiment, the method of extracting and calculating the high-speed motion characteristics of particles under superimposed power supply in step S4 is as follows: Export the original video frame by frame, calculate the time from the application of the trigger signal, i.e. the superimposed voltage, to the moment when the metal particles obviously jump off the ground electrode, which is recorded as the jump-off time Δt2 after the impact is applied, and obtain the jump-off height of the metal particles under the superimposed impact voltage by importing it into the motion analysis system. In actual use, it is necessary to ensure that the single discharge amount and the jump-off height data are the same discharge in the same cycle.

[0048] S5: By calculating the covariance and standard deviation ratio r1 of the discharge delay time Δt1 and the take-off time Δt2 after impact application, as well as the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, the PRPD spectrum is combined to deeply study the GIS metal particle defects.

[0049] Specifically, in this embodiment, the formula for calculating the coefficients r1 and r2 in step S5 is as follows: Where X i and Y i is the discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to the i-th group of original waveform data; is the average value of the discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to n groups of original data. i and H i is the discharge amount and take-off height corresponding to the i-th group of original waveform data; is the average value of discharge amount and take-off height corresponding to n groups of original data.

[0050] Specifically, in this embodiment, the covariance and standard deviation of the corresponding discharge delay time Δt1 and the take-off time Δt2 after the impact is applied are calculated, and the ratio, that is, the Pearson correlation coefficient, is recorded as r1; the covariance and standard deviation of the corresponding discharge amount Z and the take-off height H are calculated, and the ratio is recorded as r2. Then, the process of performing the correlation study in step S5 is as follows: When r1 or r2 is close to 1 (0.33≤r≤1), it indicates that there is a strong positive linear relationship between the corresponding discharge signal features and the motion features, that is, the discharge features increase as the motion features intensify.

[0051] When r1 or r2 is close to -1 (-1≤r≤-0.33), it indicates that there is a strong negative linear relationship between the corresponding discharge signal features and the motion features, that is, the discharge features decrease as the motion features intensify.

[0052] When r1 or r2 is close to 0 (-0.33<r<0.33), it means that there is no obvious linear relationship between the corresponding discharge characteristics and motion characteristics.

[0053] Combined with the PRPD spectrum, the severity of local discharge, the concentration of discharge phase and the characteristics of local discharge are jointly judged through the symmetry, range and envelope changes of the spectrum, so as to find the correlation characteristics between particle motion and local discharge by corresponding motion states under different discharge characteristics.

[0054] In summary, in actual use, the present invention builds a joint detection platform for the discharge characteristics and high-speed motion characteristics of metal particles under superimposed voltage, studies the metal particles in GIS through AC superimposed impulse voltage, and obtains n groups of original discharge waveform data and high-speed motion frame-by-frame videos respectively, extracts and calculates the local discharge characteristics in the n groups of original data waveforms, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application moment and the partial discharge start moment, and the PRPD spectrum, and n groups of high-speed motion characteristics of particles under superimposed voltage, including the take-off height, the take-off time Δt2 after the impulse is applied, etc., by calculating the covariance and standard deviation ratio r1 of the discharge hysteresis time Δt1 and the take-off time Δt2 after the impulse is applied, and the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, the GIS metal particle defects are deeply studied in combination with the PRPD spectrum.

[0055] Although the embodiments of the present invention are described above in conjunction with the accompanying drawings, the present invention is not limited to the above specific embodiments and application fields, and the above specific embodiments are only illustrative and instructive, rather than restrictive. A person of ordinary skill in the art can also make many forms under the guidance of this specification and without departing from the scope of protection of the claims of the present invention, all of which belong to the protection of the present invention.

Claims

1. A method for observing the correlation between particle motion and discharge under superposition voltage, characterized in that: The steps include: Step S1: Building a joint detection platform for discharge and movement of metal particles in GIS under superimposed voltage; Step S2: applying an AC superimposed impulse voltage to the metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; Step S3: extracting and calculating the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; Step S4: extracting and calculating n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; Step S5: Calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after impact application, and the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and combine the PRPD spectrum to identify the movement and discharge relationship of GIS metal particles.

2. The method for observing the correlation between particle motion and discharge under superposition voltage according to claim 1, characterized in that: Preferably, in step S1, the joint detection platform for discharge and movement of metal particles in GIS includes an industrial frequency test system, an impact circuit, a spherical gap synchronous trigger circuit and a partial discharge and movement measurement circuit, wherein the partial discharge and movement measurement circuit includes a high-frequency pulse current sensor, a detection impedance, a high-speed camera, a partial discharge detector and a digital oscilloscope.

3. The method for correlation observation of particle motion and discharge under superposition voltage according to claim 1, characterized in that: In step S2, a high-frequency pulse current sensor and a partial discharge detector are used to measure the partial discharge of metal particles in GIS under an AC superimposed impulse voltage to obtain n groups of original discharge waveform data, and a 3000-frame high-speed motion camera is used to record the motion characteristics of metal particles in GIS to obtain n groups of motion frame-by-frame video data.

4. The method for correlation observation of particle motion and discharge under superposition voltage according to claim 1, characterized in that: In step S5, the covariance and standard deviation ratio r1 and the covariance and standard deviation ratio r2 are calculated: Where X i and Y i is the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to the i-th group of original discharge waveform data; is the average value of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied corresponding to n groups of original discharge waveform data, Z i and H i is the discharge amount and take-off height corresponding to the i-th group of original discharge waveform data; are the average values ​​of discharge amount and take-off height corresponding to n groups of original discharge waveform data respectively.

5. The method for correlation observation of particle motion and discharge under superposition voltage according to claim 1, characterized in that: The AC superimposed impulse voltage is superimposed on the AC voltage with a phase of 270°.

6. The method for correlation observation of particle motion and discharge under superposition voltage according to claim 5, characterized in that: The method for extracting the discharge delay time Δt is: first obtain the moment of applying the 270° impulse voltage and the moment of detecting the start of partial discharge, then take the difference between the two moments, and the time interval is the average discharge delay time Δt1 under a single impulse; the method for extracting the discharge amount is: obtain the discharge amount under m discharge cycles, count the discharge amount of m discharge cycles through the partial discharge instrument, and take the single discharge starting height at the same moment when calculating the covariance and standard deviation ratio r2; The PRPD spectrum extraction method is as follows: firstly, the discharge amplitude and the power frequency voltage phase angle under m discharge cycles are obtained, and then the PRPD spectrum is derived from the partial discharge detector.

7. The method for correlation observation of particle motion and discharge under superposition voltage according to claim 1, characterized in that: The covariance and standard deviation of the corresponding average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied are calculated, and the ratio is the covariance and standard deviation ratio r1; the covariance and standard deviation of the corresponding discharge amount Z and the take-off height H are calculated, and the ratio is the covariance and standard deviation ratio r2.

8. A system for implementing the method according to any one of claims 1 to 7, characterized in that: It includes: A joint detection platform for metal particle discharge and movement in GIS, which detects the discharge and movement of metal particles; An acquisition unit is used to apply an AC superimposed impulse voltage to metal particles in the GIS to obtain n groups of original discharge waveform data and n groups of motion frame-by-frame video data; A first extraction unit, which is used to extract and calculate the local discharge characteristics in n groups of original discharge waveform data, including the discharge amount, the average discharge hysteresis time Δt1 between the impulse application time and the local discharge start time, and the PRPD spectrum; The second extraction unit is used to extract and calculate n groups of motion frame-by-frame video data frame by frame to obtain the take-off height and the take-off time Δt2 after the impact is applied; The calculation unit is used to calculate the covariance and standard deviation ratio r1 of the average discharge delay time Δt1 and the take-off time Δt2 after the impact is applied, and the covariance and standard deviation ratio r2 of the discharge amount and the take-off height, and associate them to identify the movement and discharge relationship of the GIS metal particles.

9. A computer storage medium, characterized in that The storage medium includes computer instructions, which, when executed on a computer, enable the computer to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

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