GIS metal particle insulation threat degree evaluation method and terminal

Abstract

The application discloses a GIS metal particle insulation threat degree evaluation method and a terminal. An ultrasonic time domain signal generated by movement of a metal particle in a GIS is collected. Based on the ultrasonic time domain signal, a flying height, a quantity and a partial discharge quantity of the metal particle are respectively evaluated. In combination with a GIS air gap discharge model induced by the metal particle, the insulation threat degree of the metal particle is evaluated based on the flying height, the quantity and the partial discharge quantity. The application uses the ultrasonic time domain signal generated by movement of the metal particle parameter, and innovatively proposes to evaluate the flying height, the quantity and the partial discharge quantity of the metal particle according to the signal, establish a correlation law of sudden discharge of the metal particle in the GIS, comprehensively evaluate the insulation threat degree of the metal particle in the GIS, and provide a reference for monitoring and early warning and maintenance strategy of the GIS equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of defect detection, in particular to a GIS metal particle insulation threat degree evaluation method and terminal. BACKGROUND

[0002] Metal particles have been one of the main insulation defects of gas insulated switchgear (GIS), and the particles will fly and cause sudden discharge failure of GIS after being charged in the GIS, which threatens the operation reliability and power supply stability. In order to master the internal insulation condition of GIS and realize the discharge early warning and efficient maintenance of GIS, the internal metal particles of GIS are currently detected by methods such as pulse current method, ultra-high frequency method and gas decomposition measurement. Such methods can realize qualitative analysis of the discharge characteristics of metal particles. However, the detection results (such as the position of particles and discharge amount) of the pulse current method, the ultra-high frequency method and the gas decomposition measurement have little relevance to the GIS insulation discharge characteristics induced by particles, and the insulation threat degree of particles to GIS cannot be quantitatively evaluated, which makes it difficult to directly guide the formulation of GIS maintenance strategy. SUMMARY

[0003] The technical problem to be solved by the present application is to provide a GIS metal particle insulation threat degree evaluation method and terminal, which solves the problem that the insulation threat degree of metal particles is difficult to quantify.

[0004] In order to solve the above technical problems, the technical scheme adopted by the present application is:

[0005] A GIS metal particle insulation threat degree evaluation method, comprising the steps of:

[0006] S1, collecting an ultrasonic time domain signal generated by the movement of metal particles in a running GIS;

[0007] S2, respectively evaluating the flight height, quantity and partial discharge amount of the metal particles based on the ultrasonic time domain signal;

[0008] S3, combining a GIS air gap discharge model induced by particles, and evaluating the insulation threat degree of the metal particles based on the flight height, quantity and partial discharge amount.

[0009] In order to solve the above technical problems, another technical scheme adopted by the present application is:

[0010] A GIS metal particle insulation threat degree evaluation terminal, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor executes the computer program to complete the following steps:

[0011] S1, collect an ultrasonic time domain signal generated by movement of metal particles in a running GIS;

[0012] S2, respectively evaluate a flying height, a quantity and a partial discharge quantity of the metal particles based on the ultrasonic time domain signal;

[0013] S3, in combination with a GIS air gap discharge model induced by the metal particles, evaluate an insulation threat degree of the metal particles based on the flying height, the quantity and the partial discharge quantity.

[0014] The GIS metal particle insulation threat degree evaluation method and the terminal have the beneficial effects that: the ultrasonic time domain signal generated by movement of metal particle parameters is utilized, the flying height, the quantity and the partial discharge quantity of the metal particles are evaluated based on the signal, the correlation law between the metal particles and the sudden discharge of the metal particles in the GIS is established, the insulation threat degree of the metal particles in the GIS is comprehensively evaluated, and the monitoring and early warning and the maintenance strategy of the GIS equipment are provided with reference. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 A flow chart of a GIS metal particle insulation threat degree evaluation method in an embodiment of the present application;

[0016] Figure 2 A typical ultrasonic amplitude-time spectrum of a GIS metal particle in an embodiment of the present application;

[0017] Figure 3 A typical collision time interval-collision times spectrum of a GIS metal particle in an embodiment of the present application;

[0018] Figure 4 A typical partial discharge phase spectrum of a GIS metal particle in an embodiment of the present application;

[0019] Figure 5 A specific flow chart of a GIS metal particle insulation threat degree evaluation method in an embodiment of the present application;

[0020] Figure 6 A schematic diagram of a GIS metal particle insulation threat degree evaluation terminal in an embodiment of the present application;

[0021] REFERENCE NUMERALS:

[0022] 1, a GIS metal particle insulation threat degree evaluation terminal; 2, a memory; 3, a processor. DETAILED DESCRIPTION

[0023] The technical content, the achieved purposes and effects of the present application are described in detail in the following in combination with the embodiments and the drawings.

[0024] Please refer to Figure 1 A GIS metal particle insulation threat degree evaluation method, comprising the steps of:

[0025] S1, collecting the ultrasonic time domain signal generated by the movement of the metal particles in the running GIS;

[0026] S2, based on the ultrasonic time domain signal, respectively evaluate the flight height, quantity and partial discharge quantity of the metal particles;

[0027] S3, combined with the particle-induced GIS air gap discharge model, based on the flight height, the quantity and the partial discharge quantity, the insulation threat degree of the metal particles is evaluated.

[0028] It can be understood that the ultrasonic detection method has the highest sensitivity for detecting free metal particles in GIS. By reasonably analyzing and processing the ultrasonic partial discharge spectrum of the particles, the mass, quantity, partial discharge quantity and flight height of the particles can be estimated, and then combined with the particle-induced GIS insulation discharge mechanism, the threat degree of the particles to the insulation performance of GIS can be evaluated.

[0029] From the above description, the beneficial effects of the present application are that the ultrasonic time domain signal generated by the movement of the metal particle parameters is used, and the flight height, quantity and partial discharge quantity of the metal particles are evaluated according to the above signal, the correlation law of the sudden discharge of the particles in the GIS is established, thereby comprehensively evaluating the insulation threat degree of the metal particles in the GIS, and providing reference for the monitoring and maintenance strategy of the GIS equipment.

[0030] Further, please refer to Figures 2 to 4 The step S2 specifically comprises the steps of:

[0031] Based on the ultrasonic time domain signal, the ultrasonic flight time spectrum is extracted, and according to the numerical relationship between the maximum flight time of the particle and the flight height of the particle, the maximum flight height of the particle is evaluated;

[0032] The fitting curve of the collision frequency normalized spectrum is extracted, and according to the numerical relationship between the fitting curve peak factor and the particle quantity, the quantity of the particles is evaluated;

[0033] The envelope line of the partial discharge phase spectrum is extracted, and according to the numerical relationship between the spectrum envelope line peak value and the particle partial discharge quantity, the maximum partial discharge quantity of the particle is evaluated.

[0034] As can be seen from the above description, based on the ultrasonic time-domain signal, the ultrasonic flight time spectrum, the fitting curve of the normalized collision number spectrum, and the envelope of the partial discharge phase spectrum are extracted to evaluate the maximum flight height of particles, the number of particles, and the maximum local discharge volume. This multidimensional spectrum-based feature extraction method not only improves detection accuracy but also enables quantitative parameter evaluation, making the evaluation results more actionable.

[0035] Furthermore, the maximum flying height of the particles h max The maximum particle flight time Δt max The relationship between them is:

[0036]

[0037] The relationship between the maximum partial discharge of the particles and the peak value of the spectrum envelope is:

[0038]

[0039] From the above description, it can be seen that the relationship between the maximum flight height and maximum flight time of particles, and the maximum partial discharge amount and the peak value of the spectrum envelope are further quantified. This quantitative expression provides a more accurate calculation basis for threat assessment, effectively improving the credibility and scientific nature of the assessment.

[0040] Furthermore, in the collision number normalized spectrum, the particle number N and the fitting curve peak factor N peak The numerical relationship between them is:

[0041] If 0.15 <N peak ≤0.2, then N=1;

[0042] If 0.1 <N peak ≤0.15, then N=2;

[0043] If 0.05 <N peak ≤0.1, then N=3;

[0044] If N peak ≤0.05, then N=4.

[0045] As can be seen from the above description, due to the strong irregularity of particle motion, this step obtains an empirical relationship between the number of particles and the peak factor of the fitting curve through multiple experimental statistics. In the normalized spectrum of the number of collisions, the numerical relationship between the peak factor of the fitting curve and the number of particles can be used to quickly evaluate the number of particles, simplifying the particle number evaluation process in complex systems and providing a rapid judgment standard based on the peak factor, thereby enhancing the evaluation efficiency and practicality.

[0046] Further, the step S3 further comprises the steps of:

[0047] Based on the particle-induced GIS air gap discharge model, the probability estimation formula of the insulation threat degree is

[0048]

[0049] In the formula, H is the air gap distance of GIS.

[0050] From the above description, by combining the particle-induced GIS air gap discharge model, a probability estimation formula is proposed, which comprehensively considers the influence of the flight height, number and partial discharge amount of particles, and quantitatively evaluates the influence of the particles on the insulation threat degree of GIS. The introduction of the probability model makes the evaluation of the insulation threat more intuitive and accurate, and provides a scientific basis for risk prediction in practical application.

[0051] Please refer to Figure 6 A GIS metal particle insulation threat degree evaluation terminal, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to complete the steps of a GIS metal particle insulation threat degree evaluation method.

[0052] The present application provides a GIS metal particle insulation threat degree evaluation method and terminal, which mainly realizes the evaluation of the insulation threat degree of the metal particles in GIS. The following will be specifically described in combination with embodiments:

[0053] Please refer to Figures 1 to 5 Embodiment one of the present application is:

[0054] A GIS metal particle insulation threat degree evaluation method, comprising the steps of:

[0055] S1, collecting the ultrasonic time domain signal generated by the movement of the metal particles in the running GIS;

[0056] S2, based on the ultrasonic time domain signal, respectively evaluating and obtaining the flight height, number and partial discharge amount of the metal particles;

[0057] S3, combining the particle-induced GIS air gap discharge model, based on the flight height, number and partial discharge amount, evaluating the insulation threat degree of the metal particles.

[0058] Step S2 specifically comprises the steps of:

[0059] Based on the ultrasonic time domain signal, extracting the ultrasonic flight time spectrum diagram, and according to the numerical relationship between the maximum flight time of the particles and the maximum flight height of the particles, evaluating the maximum flight height of the particles;

[0060] The maximum flight height of the particles hmax The relationship between the maximum particle flight time Δt max is:

[0061]

[0062] The fitting curve of the collision number normalized spectrum is extracted, and the number of particles is evaluated according to the numerical relationship between the fitting curve peak factor and the particle number;

[0063] The relationship between the maximum partial discharge amount of the particle and the spectrum envelope peak is:

[0064]

[0065] The envelope of the partial discharge phase spectrum is extracted, and the maximum partial discharge amount of the particle is evaluated according to the numerical relationship between the spectrum envelope peak and the particle partial discharge amount.

[0066] In the collision number normalized spectrum, the numerical relationship between the particle number N and the fitting curve peak factor N peak is:

[0067] If 0.15<N peak ≤0.2, then N=1;

[0068] If 0.1<N peak ≤0.15, then N=2;

[0069] If 0.05<N peak ≤0.1, then N=3;

[0070] If N peak ≤0.05, then N=4.

[0071] Step S3 further includes the steps of:

[0072] Based on the particle-induced GIS air gap discharge model, the probability estimation formula of the insulation threat degree is

[0073]

[0074] In the formula, H is the GIS air gap distance.

[0075] That is, in the embodiment, by combining the particle-induced GIS air gap discharge model, a probability estimation formula is proposed, which comprehensively considers the influence of the flight height, number and partial discharge amount of the particle, and quantitatively evaluates the influence of the particle on the GIS insulation threat degree. The introduction of the probability model makes the evaluation of the insulation threat more intuitive and accurate, and provides a scientific basis for risk prediction in practical application.

[0076] Please refer to Figure 6 , embodiment two of the present application is:

[0077] A GIS metal particle insulation threat degree evaluation terminal 1 comprises a memory 2, a processor 3 and a computer program stored on the memory 2 and executable on the processor 3, and the processor 3 completes the steps in the GIS metal particle insulation threat degree evaluation method in embodiment one when executing the computer program.

[0078] In conclusion, the present application provides a GIS metal particle insulation threat degree evaluation method and terminal, and the ultrasonic time-of-flight spectrum, the collision time interval-collision number spectrum and the partial discharge phase spectrum of the particle can respectively evaluate the flight height, the quantity and the maximum partial discharge quantity of the particle and other key parameters related to the GIS air gap discharge. The present application utilizes the correlation rule of the particle parameters and the particle ultrasonic partial discharge multi-spectrum to establish a GIS metal particle insulation threat degree evaluation method, and the proposed method can evaluate the GIS discharge failure probability caused by the particle, and further provide a reference for the monitoring and early warning and the maintenance strategy of the GIS equipment.

[0079] The above is only an embodiment of the present application, and does not limit the patent range of the present application, and any equivalent transformation or direct or indirect application in the related technical field by utilizing the content of the specification and drawings of the present application is also included in the patent protection range of the present application.

Claims

1. A method for assessing the degree of insulation threat of GIS metal particles, characterized in that: The method comprises the steps of: S1, collecting an ultrasonic time domain signal generated by the movement of metal particles in a running GIS; S2, respectively evaluating the flying height, quantity and partial discharge quantity of the metal particles based on the ultrasonic time domain signal; S3, combining a GIS air gap discharge model induced by the particles to evaluate the insulation threat degree of the metal particles based on the flying height, quantity and partial discharge quantity; The step S2 specifically comprises the steps of: extracting an ultrasonic time of flight spectrum based on the ultrasonic time domain signal, and evaluating the maximum flying height of the particles according to the numerical relationship between the maximum time of flight of the particles and the flying height of the particles; extracting a fitting curve of a collision frequency normalized spectrum, and evaluating the quantity of the particles according to the numerical relationship between the fitting curve peak factor and the quantity of the particles; extracting an envelope line of a partial discharge phase spectrum, and evaluating the maximum partial discharge quantity of the particles according to the numerical relationship between the spectrum envelope line peak value and the partial discharge quantity of the particles; the maximum flying height of the microparticle the maximum flying time of the microparticle the relationship between the maximum flying height of the microparticle ; The relationship between the maximum partial discharge quantity of the particles and the spectrum envelope line peak value is: ； In the collision number normalized spectrum, the number of particles N The numerical relationship between the fitting curve peak factor is: if 0.15 < x < 0.2, then 1; if 0.2 < x < 0.3, then N= 1; if 0. if 0.1 < x < 0.15, then ≤ 0.15, then N= 2; If 0.05< ≤0.1, then N=3; If ≤ 0.05, then N = 4; The step S3 further comprises the step of: based on the GIS air gap discharge model induced by the particles, the probability estimation formula of the insulation threat degree is ； In the formula, H GIS air gap spacing.

2. A GIS metal particle insulation threat level assessment terminal, characterized by: A computer program product comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the computer program to perform the following steps: S1, collecting an ultrasonic time domain signal generated by the movement of metal particles in a running GIS; S2, respectively evaluating the flying height, quantity and partial discharge quantity of the metal particles based on the ultrasonic time domain signal; S3, combining a GIS air gap discharge model induced by the particles to evaluate the insulation threat degree of the metal particles based on the flying height, quantity and partial discharge quantity; The step S2 specifically comprises the steps of: extracting an ultrasonic time of flight spectrum based on the ultrasonic time domain signal, and evaluating the maximum flying height of the particles according to the numerical relationship between the maximum time of flight of the particles and the flying height of the particles; extracting a fitting curve of a collision frequency normalized spectrum, and evaluating the quantity of the particles according to the numerical relationship between the fitting curve peak factor and the quantity of the particles; extracting an envelope line of a partial discharge phase spectrum, and evaluating the maximum partial discharge quantity of the particles according to the numerical relationship between the spectrum envelope line peak value and the partial discharge quantity of the particles; the maximum flight height of the microparticles the maximum flight time of the microparticles the relationship between the maximum flight height of the microparticles ; The relationship between the maximum partial discharge quantity of the particles and the spectrum envelope line peak value is: ; In the collision number normalized spectrum, the number of particles N The numerical relationship between the fitting curve peak factor is: if 0.15 < x < 0.2, then 1; if 0 < x < 0.15, then N= 1; if 0 < x < if 0.1 < x < 0.15, then ≤ 0.15, then N= 2; If 0.05< ≤0.1, then N=3; like ≤0.05, then N=4; The step S3 further comprises the step of: based on the GIS air gap discharge model induced by the particles, the probability estimation formula of the insulation threat degree is ； In the formula, H GIS air gap spacing.

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