Calibration test platform for detection technology of decomposition products of gas-insulated metal-enclosed composite apparatus

Abstract

The embodiment of the invention discloses a calibration test platform for a decomposition product detection technology of a gas-insulated metal-enclosed composite apparatus. The calibration test platform is composed of a plurality of modules. The external device provides power, protects equipment, monitors the gas state and is responsible for gas conveying, storage and the like; the gas reaction module adopts a 126kV GIS / GIL bus section, and a fault / defect device is installed in the gas reaction module to simulate various power faults. The gas inspection module collects port gas, calculates the concentration and transmits data to the computer simulation module. The computer simulation module is rich in function, and the fault database construction unit stores fault and feature product information; the gas diffusion model construction platform constructs a model according to the Fick diffusion law and the like, and simulates product diffusion; the characteristic product proportion analysis platform analyzes the gas to be detected in real time; and the fault diagnosis platform determines the fault type by querying the database, and calculates the position of a fault point by combining the model and the proportion data. The platform can comprehensively simulate faults and accurately diagnose, and provides powerful support for GIS / GIL pipeline operation and maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment, and particularly to a calibration test platform for the decomposition product detection technology of a gas-insulated metal-enclosed switchgear (GIS / GIL). Background Art

[0002] In modern power systems, gas-insulated metal-enclosed switchgears (GIS / GIL) are widely used in high-voltage power transmission due to their advantages of small floor area, high reliability, and easy maintenance. However, when latent insulation faults occur inside GIS / GIL equipment, different forms and intensities of partial discharge phenomena will be triggered, resulting in the decomposition of insulating gas.

[0003] Currently, the fault diagnosis of GIS / GIL mainly relies on technologies such as partial discharge detection and infrared temperature measurement, but the sensitivity and accuracy of these methods are limited under complex working conditions. Especially when insulating gas (such as SF6) decomposes, it is difficult for traditional technologies to accurately identify the fault type and location. Summary of the Invention

[0004] Based on this, it is necessary to propose a calibration test platform for the decomposition product detection technology of a gas-insulated metal-enclosed switchgear in view of the above problems.

[0005] A calibration test platform for the decomposition product detection technology of a gas-insulated metal-enclosed switchgear includes:

[0006] External device: including a power supply, a solid-state switch, a temperature / pressure monitoring device, an air inlet, an air outlet, an insulating gas storage device, and a vacuum pumping device;

[0007] Gas reaction module: including a GIS / GIL pipeline, a plurality of ports, and a fault / defect generation device, where the GIS / GIL pipeline uses a 126 kV GIS / GIL bus section, and a fault / defect device is installed inside it to simulate various determined-level power fault states;

[0008] Gas inspection module: including a gas collection device and a concentration calculation device, used to collect the gas at a plurality of ports of the GIS / GIL pipeline and transmit the obtained data to the computer simulation module;

[0009] Computer simulation module: including a fault database construction unit, a gas diffusion model construction platform, a characteristic product ratio analysis platform, and a fault diagnosis platform:

[0010] The fault database construction unit: constructed based on the characteristic product types and ratio data under typical fault states collected in advance, and used to store the information of different fault types and corresponding characteristic products;

[0011] The gas diffusion model construction platform: Based on the proportion of typical characteristic products of the insulating gas at different ports, use theories such as Fick's diffusion law to construct a gas diffusion model to simulate the diffusion process of characteristic products inside the GIS / GIL pipeline;

[0012] The characteristic product proportion analysis platform: Used to analyze in real time the types of characteristic products included in the gas to be measured and the proportion of the characteristic products corresponding to the types of characteristic products;

[0013] The fault diagnosis platform: Used to query the fault database to determine the fault type according to the types and proportions of characteristic products collected in real time; and combined with the gas diffusion model and the characteristic product proportion data, calculate through algorithms to determine the fault point location of the GIS / GIL pipeline to be detected.

[0014] A method for fault location of GIS / GIL pipelines based on a calibration test platform for decomposition product detection technology of gas-insulated metal-enclosed switchgear assemblies, the method includes:

[0015] Collect the insulating gas at several ports of the GIS / GIL pipeline with faults;

[0016] Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products, construct a fault database according to the types of typical characteristic products and the proportion of typical characteristic products and the corresponding fault types, and construct a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0017] Collect in real time the gas to be measured at several ports of the GIS / GIL pipeline to be detected, and obtain the types of characteristic products included in the gas to be measured and the proportion of the characteristic products corresponding to the types of characteristic products;

[0018] Query the fault database according to the types of characteristic products and the corresponding proportion of characteristic products to determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0019] In the above solution, the types of typical characteristic products and the proportion of typical characteristic products are matched with corresponding fault types, specifically including:

[0020] When a local overheating fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2F2, CO2;

[0021] When a surface discharge fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, CO2, CF4;

[0022] When a disconnector operation fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, and CO2;

[0023] When 17.232 < Y < 56.788 and 0 < Z < 43.212, it is determined that a local overheating fault has occurred in the GIS / GIL pipeline;

[0024] When 0 < X < 31.648, 0 < Y < 17.232 and 0 < X < 57.4359, 17.232 < Y < 56.788, it is determined that a surface discharge fault has occurred in the GIS / GIL pipeline;

[0025] When 31.648 < X < 100 and 0 < Y < 17.232, it is determined that a disconnector operation fault has occurred in the GIS / GIL pipeline;

[0026] Among them, X represents the proportion of SOF2 in the total gas content, Y represents the proportion of the sum of the concentrations of SOF2 and SO2 gases in the total gas content, and Z represents the proportion of the sum of the concentrations of CO2 and CF4 gases in the total gas content.

[0027] In the above solution, the determination of the fault point of the to-be-detected GIS / GIL pipeline according to the proportion of the characteristic products and the gas diffusion model specifically includes:

[0028] Analyze the proportion of the characteristic products according to the gas diffusion model;

[0029] Perform data fitting on the proportion of the characteristic products to obtain a fault determination function of the proportion of different gas characteristic products with respect to time t and the distance L from the fault point;

[0030] Based on the proportion of different gas characteristic products and the fault determination function, determine the fault point of the GIS / GIL pipeline in the fault database.

[0031] In the above solution, the performance of data fitting on the proportion of the characteristic products to obtain a fault determination function of the proportion of different gas characteristic products with respect to time t and the distance L from the fault point specifically includes:

[0032] Taking the distance L from the fault point at the same time as the abscissa or different times t at the same position as the abscissa, and taking the corresponding proportion of different gas characteristic products as the ordinate, establish a working curve to obtain the fitting correlation coefficient;

[0033] Adjust the fault determination function according to the fitting correlation coefficient.

[0034] In the above solution, the determination of the fault point of the to-be-detected GIS / GIL pipeline according to the proportion of the characteristic products and the gas diffusion model further includes:

[0035] Obtain the data of the change of the concentration of the characteristic products of the fault point of the GIS / GIL pipeline to be detected over time, and calculate the change rate of the proportion of its characteristic products;

[0036] Combine the change rate of the proportion of the characteristic products with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected.

[0037] In the above solution, the combination of the change rate of the proportion of the characteristic products with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected specifically includes:

[0038] When the calculated fault point is between several ports, if the change rate of the proportion of the characteristic products of port A is high, the fault point is close to port A;

[0039] When the calculated fault point is on the same side of several ports, judge whether the fault point is close to port A by comparing the change rates of the proportions of the characteristic products of several ports.

[0040] This application also proposes a GIS / GIL pipeline fault location system based on a calibration test platform for gas-insulated metal-enclosed switchgear decomposition product detection technology, including:

[0041] An insulating gas collection unit, configured at several ports of the GIS / GIL pipeline, for collecting the insulating gas in the faulty GIS / GIL pipeline;

[0042] A gas decomposition and analysis unit, connected to the insulating gas collection unit, for decomposing the insulating gas to obtain the types of typical characteristic products and the proportions of typical characteristic products;

[0043] A fault database determination unit, storing the correspondence between the types of typical characteristic products, the proportions of typical characteristic products and the corresponding fault types;

[0044] A gas diffusion model construction unit, constructing a gas diffusion model according to the proportions of the typical characteristic products of the insulating gas at different ports;

[0045] A gas to be measured collection unit, configured at several ports of the GIS / GIL pipeline to be detected, for collecting the gas to be measured in real time;

[0046] A fault type determination unit, querying the fault database according to the types of characteristic products included in the gas to be measured and the proportions of the characteristic products corresponding to the types of characteristic products, to determine the fault type of the GIS / GIL pipeline to be detected;

[0047] A fault point location unit, determining the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model.

[0048] The present application also provides a readable storage medium storing a computer program, which, when executed by a processor, causes the processor to perform the following steps:

[0049] Collect insulating gas at several ports of a GIS / GIL pipeline with a fault;

[0050] Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products, construct a fault database according to the types of typical characteristic products and the proportion of typical characteristic products and the corresponding fault types, and construct a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0051] Collect the gas to be detected at several ports of the GIS / GIL pipeline to be detected in real time, and obtain the types of characteristic products included in the gas to be detected and the proportion of characteristic products corresponding to the types of characteristic products;

[0052] Query the fault database according to the types of characteristic products and the corresponding proportion of characteristic products, determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0053] The present application also provides a computer device, including a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor to perform the following steps:

[0054] Collect insulating gas at several ports of a GIS / GIL pipeline with a fault;

[0055] Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products, construct a fault database according to the types of typical characteristic products and the proportion of typical characteristic products and the corresponding fault types, and construct a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0056] Collect the gas to be detected at several ports of the GIS / GIL pipeline to be detected in real time, and obtain the types of characteristic products included in the gas to be detected and the proportion of characteristic products corresponding to the types of characteristic products;

[0057] Query the fault database according to the types of characteristic products and the corresponding proportion of characteristic products, determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0058] The use of the embodiment of the present invention has the following beneficial effects: the fault location method can significantly improve the accuracy and efficiency of GIS / GIL pipeline fault detection through multi-step collaborative work, which is of great significance to ensuring the stable operation of the power system. It collects and decomposes the insulating gas at the port of the GIS / GIL pipeline with faults to build a fault database and a gas diffusion model, which provides a data basis and analysis basis for subsequent fault diagnosis. The gas to be tested at the port of the pipeline to be tested is collected in real time, and the characteristic product type and proportion are obtained to realize dynamic monitoring of the pipeline in operation. Using these data to query the fault database to determine the fault type helps operation and maintenance personnel to quickly understand the nature of the fault and take targeted treatment measures. Combined with the gas diffusion model to determine the fault point, compared with the traditional method, the gas diffusion characteristics are taken into account, the fault location can be more accurately located, the detection time and cost can be reduced, and the efficiency of fault detection can be improved. This method comprehensively improves the level of GIS / GIL pipeline fault diagnosis and effectively ensures the safe and stable operation of the power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] in:

[0061] Figure 1 It is a structural schematic diagram of a calibration test platform for a gas-insulated metal-enclosed switchgear decomposition product detection technology in one embodiment;

[0062] Figure 2 It is a flow chart of a method for locating a GIS / GIL pipeline fault based on a gas-insulated metal-enclosed switchgear decomposition product detection technology calibration test platform in one embodiment;

[0063] Figure 3 Shown is a schematic diagram of the GIS / GIL pipeline;

[0064] Figure 4 For Figure 2 Corresponding GIS / GIL pipeline sampling simulation diagram.

[0065] Reference Signs

[0066] 1. GIS / GIL pipeline; 2. Gas chromatograph; 3. Computer simulation platform; 4. Power supply; 5. Solid-state switch; 6. Temperature / pressure monitoring device; 7. Fault / defect generating device; 8. Intake port; 9. Exhaust port; 10. Insulating gas storage device; 11. Vacuum pumping device; 12. Port A; 13. Port B; 14. Port C; 15. Gas collection device; 16. Concentration calculation device; 17. Diffusion model simulation platform; 18. Function fitting calculation platform; 19. Fault point approximate prediction module. Detailed implementation manners

[0067] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part rather than all of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0068] In the following description, numerous specific details are given to provide a more thorough understanding of the present invention. However, it is obvious to those skilled in the art that the present invention may be implemented without one or more of these details. In other instances, well-known technical features are not described to avoid confusion with the present invention. It should be understood that the present invention can be implemented in different forms and should not be construed as limited to the embodiments presented herein. On the contrary, providing these embodiments will make the disclosure thorough and complete and will fully convey the scope of the present invention to those skilled in the art.

[0069] The purpose of the terms used herein is only to describe specific embodiments and is not a limitation of the present invention. When used herein, the singular forms "a", "an" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the terms "comprising" and / or "including", when used in this specification, identify the presence of the stated features, integers, steps, operations, elements and / or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups. When used herein, the term "and / or" includes any and all combinations of the related listed items.

[0070] The present invention is mainly applicable to the fault diagnosis and location of high-voltage, extra-high-voltage, and ultra-high-voltage gas-insulated switchgear (GIS) and gas-insulated transmission lines (GIL) in the power system. These devices are widely used in power plants, substations, transmission lines, etc., and are an important part of the safe and stable operation of the power system. Through this solution, the fault type and fault point inside the GIS / GIL pipeline can be quickly and accurately identified, so as to carry out maintenance and treatment in a timely manner, avoid the expansion of faults and accidents, and ensure the reliable operation of the power system.

[0071] GIS (Gas Insulated Switchgear), that is, gas-insulated switchgear, is a switchgear that encloses all primary equipment of the power system (such as circuit breakers, disconnectors, earthing switches, instrument transformers, busbars, etc.) in a grounded metal shell and fills it with SF6 insulating gas at a certain pressure as the insulation between phases and to the ground. GIS has the advantages of small floor area, high reliability, flexible configuration, convenient installation, and less maintenance work, and is widely used in high-voltage, extra-high-voltage, and ultra-high-voltage power systems.

[0072] GIL (Gas Insulated Transmission Line), that is, gas-insulated transmission line, is a transmission line that uses SF6 gas or a mixture of SF6 and N2 as the insulating medium, encloses the conductor in an aluminum pipe, and adopts sealing measures to isolate the electrical equipment from the outside world. GIL has the advantages of large transmission capacity, low loss, not affected by the environment, and can be buried underground, and is suitable for high-voltage, large-capacity, and long-distance power transmission, especially in special terrain environments such as urban central areas, mountainous areas, and water areas.

[0073] To thoroughly understand the present invention, detailed structures will be presented in the following description to illustrate the technical solutions proposed by the present invention; the optional embodiments of the present invention are described in detail as follows. However, in addition to these detailed descriptions, the present invention can also have other implementation manners.

[0074] As Figure 1 shown, the present application proposes a calibration test platform for the decomposition product detection technology of gas-insulated metal-enclosed switchgear, including:

[0075] External device: including a power supply, a solid-state switch, a temperature / pressure monitoring device, an air inlet, an air outlet, an insulating gas storage device, and a vacuum pumping device;

[0076] Gas reaction module: including a GIS / GIL pipeline, several ports, and a fault / defect generating device. Among them, the GIS / GIL pipeline adopts a 126 kV GIS / GIL bus section, and a fault / defect device is installed inside it to simulate various power fault states of determined levels;

[0077] Gas detection module: It includes a gas collection device and a concentration calculation device, which are used to collect the gas at several ports of the GIS / GIL pipeline and transmit the obtained data to the computer simulation module;

[0078] Computer simulation module: It includes a fault database construction unit, a gas diffusion model construction platform, a characteristic product ratio analysis platform and a fault diagnosis platform:

[0079] Fault database construction unit: It is constructed based on the characteristic product types and ratio data under typical fault states collected in advance, and is used to store different fault types and the corresponding characteristic product information;

[0080] Gas diffusion model construction platform: Based on the ratio of typical characteristic products of the insulating gas at different ports, a gas diffusion model is constructed using theories such as Fick's law of diffusion to simulate the diffusion process of characteristic products inside the GIS / GIL pipeline;

[0081] Characteristic product ratio analysis platform: It is used to analyze in real time the types of characteristic products included in the gas to be measured and the ratio of the characteristic products corresponding to the characteristic product types;

[0082] Fault diagnosis platform: It is used to determine the fault type by querying the fault database according to the types and ratios of characteristic products collected in real time; and combined with the gas diffusion model and the characteristic product ratio data, the fault point location of the GIS / GIL pipeline to be detected is determined by algorithm calculation.

[0083] Specifically, the external device includes:

[0084] Power supply: It provides power for the fault / defect generation device, including 220V industrial frequency power supply, high-voltage DC power supply, high-voltage AC power supply, etc.;

[0085] Solid-state switch: A protection device to prevent the fault / defect device from abnormally damaging the equipment;

[0086] Temperature / pressure monitoring device: It monitors the state of the insulating gas in the GIS / GIL pipeline in real time, and the obtained data is used to determine the fault type and calculate the diffusion coefficients of each gas component;

[0087] Inlet: The port for delivering gas into the GIS / GIL;

[0088] Exhaust port: The port for exhausting the gas in the GIS / GIL pipeline, which is used to connect to a vacuum pumping device or a gas recovery device, etc.;

[0089] Insulating gas storage device: It is responsible for storing various insulating gases, such as SF6, N2, etc.;

[0090] Vacuum pumping device: It is responsible for making the inside of the GIS / GIL pipeline reach a vacuum state.

[0091] The gas reaction module includes:

[0092] GIS / GIL pipeline: A 126 kV real GIS / GIL bus section is adopted to simulate real in-service power equipment. A fault / defect device is installed inside, and different types of gas insulation media can be filled, including but not limited to SF6, SF6 / N2, C4F7N / CO2, etc., to obtain the time and space variation laws of the decomposition product components.

[0093] Port A / Port B / Port C: Ports for detecting the gas concentrations of various decomposition products of the insulating gas, usually directly connected to a gas chromatograph.

[0094] The gas inspection module includes:

[0095] Gas collection device: Collects the gas from Ports A, B, and C of the GIS / GIL pipeline;

[0096] Concentration calculation device: Responsible for calculating the gas concentration of the gas collected from Ports A, B, and C of the GIS / GIL pipeline and analyzing the components, and at the same time transmits the obtained data to the computer simulation module.

[0097] The computer simulation module includes:

[0098] Diffusion model simulation platform: Simulates and determines the gas distribution of each component inside the GIS / GIL pipeline under the temperature and pressure distribution;

[0099] Function fitting calculation platform: Fits the functions of the gas concentration distribution of each component obtained by simulation with time and the distance from the fault point;

[0100] Fault point approximate prediction platform: Establishes an equation set to solve the fault point location.

[0101] As Figure 2 shown, in one embodiment, a GIS / GIL pipeline fault location method based on a calibration test platform for gas-insulated metal-enclosed switchgear decomposition product detection technology is provided. The GIS / GIL pipeline fault location method based on the calibration test platform for gas-insulated metal-enclosed switchgear decomposition product detection technology includes steps S101 to S104, which are described in detail as follows:

[0102] S101. Collect the insulating gas at several ports of the GIS / GIL pipeline with faults;

[0103] In GIS (Gas Insulated Switchgear) and GIL (Gas Insulated Transmission Line) pipelines, the ports are interface locations where the internal gas of the pipeline can be accessed for sampling or connecting other devices, and they are usually distributed at different positions of the pipeline. Such a distribution enables technicians to collect gas samples from multiple points, thereby more comprehensively understanding the gas state and potential fault conditions inside the pipeline.

[0104] Since the differences in gas composition and concentration at different ports can reflect the spread and severity of faults in the pipeline, by collecting the insulating gas from multiple ports, gas information at different positions can be obtained, providing raw data for comprehensively understanding the fault conditions, and thus more accurately grasping the overall characteristics of the faults.

[0105] S102. Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products. Construct a fault database based on the types of typical characteristic products and the proportion of typical characteristic products and the corresponding fault types. Construct a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0106] Specifically, decomposing the insulating gas to obtain relevant information and constructing a fault database can associate the typical characteristic products and the proportion of typical characteristic products with the fault types, providing a reference standard for subsequent fault diagnosis. When detecting new faults, the fault types can be quickly judged by comparing the characteristic products and the corresponding product proportions, improving the accuracy and efficiency of fault diagnosis.

[0107] In addition, constructing a gas diffusion model according to the proportion of typical characteristic products at different ports takes into account the diffusion characteristics of the gas in the pipeline. The gas diffusion model can simulate the gas diffusion process, helping to analyze how the gas generated by the fault propagates in the pipeline, providing a theoretical basis for determining the location of the fault point, and enhancing the scientific nature of fault location.

[0108] In some embodiments, the types of typical characteristic products and the proportion of typical characteristic products are matched with corresponding fault types, specifically including:

[0109] When a local overheating fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2F2, CO2;

[0110] When a surface discharge fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, CO2, CF4;

[0111] When a disconnector operation fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, CO2;

[0112] When 17.232 < Y < 56.788 and 0 < Z < 43.212, it is determined that there is a local overheating fault in the GIS / GIL pipeline;

[0113] When 0 < X < 31.648, 0 < Y < 17.232 and 0 < X < 57.4359, 17.232 < Y < 56.788, it is determined that there is a surface discharge fault in the GIS / GIL pipeline;

[0114] When 31.648 < X < 100 and 0 < Y < 17.232, it is determined that there is a disconnector operation fault in the GIS / GIL pipeline;

[0115] Among them, X represents the proportion of SOF2 in the total gas content, Y represents the proportion of the sum of SOF2 and SO2 gas concentrations in the total gas content, and Z represents the proportion of the sum of CO2 and CF4 gas concentrations in the total gas content.

[0116] Specifically, the proportion of typical characteristic products is as follows:

[0117]

[0118] Among them, ∑ = [SOF2] + [SO2F2] + [SO2] + [CO2] + [CF4], X represents the proportion of SOF2 in the total gas content, Y represents the proportion of the sum of SOF2 and SO2 gas concentrations in the total gas content, and Z represents the proportion of the sum of CO2 and CF4 gas concentrations in the total gas content.

[0119] It can be seen that the above scheme realizes the accurate identification of the fault type of the GIS / GIL pipeline by establishing the corresponding relationship between typical characteristic products and fault types and using the quantitative indicators of the proportion of characteristic products (X, Y, Z). When there is a local overheating, surface discharge or disconnector operation fault in the pipeline, different combinations of characteristic products (such as SOF2, SO2F2, CO2, CF4) and their proportion ranges (such as 17.232 < Y < 56.788, 0 < Z < 43.212) can clearly indicate the corresponding fault type. This method overcomes the limitations of traditional fault diagnosis that rely on empirical judgment, provides an objective and quantitative diagnosis basis, significantly improves the accuracy and reliability of fault diagnosis, and provides strong support for the condition assessment and maintenance decision-making of the GIS / GIL pipeline.

[0120] Such as Figure 3 shown is the schematic diagram of the GIS / GIL pipeline, Figure 4 For and Figure 3The corresponding GIS / GIL pipeline sampling simulation diagram. The total length of the GIS / GIL pipeline is 3m, and the fault point is located at L = 0.5m. Five sampling points are set in this model, with distances from the fault point being -0.5m, 0m, 0.5m, 1.5m, and 2.5m respectively. Since SO2F2 and SOF2 are the main products of SF6 gas decomposition under overheating faults, the position of the fault point under local overheating conditions can be judged based on the concentration distributions of these two gases at the sampling points.

[0121] S103. Real-time collect the gas to be detected at several ports of the GIS / GIL pipeline to be detected, and obtain the types of characteristic products included in the gas to be detected and the proportion of the characteristic products corresponding to the types of characteristic products.

[0122] Real-time collecting the gas to be detected can obtain the gas information under the current operating state of the pipeline and timely detect potential faults. Obtaining the types and proportions of characteristic products can be combined with the previously constructed fault database and gas diffusion model to dynamically analyze and judge the fault situation, ensuring the timeliness and accuracy of fault location.

[0123] S104. Query the fault database according to the types of characteristic products and the corresponding proportions of the characteristic products to determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model.

[0124] Determining the fault type by querying the fault database can quickly conduct qualitative analysis of the fault, enabling the maintenance personnel to understand the general situation of the fault, so as to take corresponding maintenance measures, improving the pertinence of fault handling. This solution determines the fault point by using the proportion of characteristic products and the gas diffusion model, comprehensively considering the gas composition and diffusion law, and can locate the fault position more accurately than traditional methods. Precise fault point location can reduce the troubleshooting scope during maintenance, save maintenance time and costs, and improve the reliability and stability of the power system operation.

[0125] In some embodiments, determining the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model specifically includes:

[0126] Analyze the proportion of the characteristic products according to the gas diffusion model.

[0127] Perform data fitting on the proportion of the characteristic products to obtain a fault determination function of the proportion of different gas characteristic products varying with time t and the distance L from the fault point.

[0128] Based on the proportion of different gas characteristic products and the fault determination function, determine the fault point of the GIS / GIL pipeline in the fault database.

[0129] Preferably, it is assumed that insulating gas samples are collected at three different ports (A, B, C) of the GIS / GIL pipeline, and the following data on the proportion of characteristic products are obtained through analytical equipment such as gas chromatographs:

[0130] Port A (distance from the fault point L = 2m, time t = 0h):

[0131] Proportion of SOF2: 15%, proportion of SO2: 5%, proportion of CO2: 10%, proportion of CF4: 3%;

[0132] Port B (distance from the fault point L = 5m, time t = 0h):

[0133] Proportion of SOF2: 10%, proportion of SO2: 3%, proportion of CO2: 7%, proportion of CF4: 2%;

[0134] Port C (distance from the fault point L = 10m, time t = 0h):

[0135] Proportion of SOF2: 5%, proportion of SO2: 1%, proportion of CO2: 3%, proportion of CF4: 1%;

[0136] The gas diffusion model is used to analyze the variation law of the proportion of these characteristic products, a mathematical model of gas concentration varying with time and distance is established, and the above data are fitted to obtain the fault determination functions respectively:

[0137] Taking SOF2 as an example, it is assumed that the fault determination function of the proportion of SOF2 varying with time t and the distance L from the fault point is: ySOF2 = 0.01t + 0.02L - 0.05.

[0138] The function here is only an example and can be adjusted according to data fitting in actual situations. In the same way, the fault determination functions of the proportions of other characteristic products such as SO2 and CO2 are obtained.

[0139] Finally, based on the data of the proportion of gas characteristic products collected in real time and the above fault determination functions, we can determine the location of the fault point by solving equations or optimization algorithms. For example, the proportion of gas characteristic products at a certain port of the GIS / GIL pipeline at a certain moment is monitored in real time as follows:

[0140] Proportion of SOF2: 12%, proportion of SO2: 4%, proportion of CO2: 8%, proportion of CF4: 2.5%

[0141] Substitute these other proportion data into the corresponding fault determination functions, and obtain the distance L from the fault point to this port by solving the system of equations or optimization algorithms, so as to determine the position of the fault point. For example, when the proportion of SOF2 at port A at time t is 7%, substituting it into the function ySOF2 = 0.01t + 0.02L - 0.05, we can get 7% = 0.01×t + 0.02L - 0.05. Combining the data of other ports and the corresponding functions, and solving the system of equations simultaneously, the fault point of this GIS / GIL pipeline can be finally determined at a certain distance from port A. This method combines the gas diffusion model and actual monitoring data, and can more accurately locate the fault point of the GIS / GIL pipeline.

[0142] In some embodiments, data fitting is performed on the proportion of characteristic products to obtain fault determination functions for the proportions of different gas characteristic products varying with time t and the distance L from the fault point, specifically including:

[0143] Taking the distance L from the fault point at the same time as the abscissa or different times t at the same position as the abscissa, and taking the corresponding proportions of different gas characteristic products as the ordinate, establish a working curve to obtain the fitting correlation coefficient;

[0144] Adjust the fault determination function according to the fitting correlation coefficient.

[0145] Specifically, assume that the total length of the GIS pipeline is 20m, and the fault point is located at L0 = 8m (simulating a metal overheating fault). The corresponding detection port positions are: port 1 (L = 4m), port 2 (L = 12m), port 3 (L = 16m), and the detection times are: t = 5min, 10min, 15min, and the proportion of SOF2 (SOF2 / total decomposition products) is measured.

[0146] (1) The measured data are:

[0147]

[0148] (2) The specific fitting process is as follows:

[0149] Fix the time (t = 10min): Taking the distance L as the abscissa and the proportion of SOF2 as the ordinate, fit the exponential decay function:

[0150] y = a·e -bL +c

[0151] Fitting result: a = 0.45, b = 0.12, c = 0.05, correlation coefficient R 2 = 0.98.

[0152] Fix the position (port 2, L = 12m): Taking the time t as the abscissa and the proportion of SOF2 as the ordinate, fit the logarithmic function:

[0153] y = k·ln(t) + d

[0154] Fitting result: k = -0.03, d = 0.25, R 2 = 0.94.

[0155] (3) The steps for correcting the fault determination function include:

[0156] Initial function (assuming an ideal diffusion model):

[0157] Proportion of SOF2 = 0.5·e -0.1L

[0158] If at L = 16m, the deviation between the theoretical value (0.10) and the measured value reaches 50%, then introduce a time correction term:

[0159] Proportion of SOF2 = (0.5 - 0.05t)·e -0.1L

[0160] The corrected theoretical value at L = 16m: 0.13 (error reduced to 13%). Additionally, if R 2 < 0.95, use a piecewise function (such as proximal linear + distal exponential), or introduce a pressure compensation factor. The final function (after correction) is:

[0161] Proportion of SOF2 = (0.48 - 0.015t)·e -0.09L+0.001P (P is the pressure, unit kPa), R 2 is increased to 0.97.

[0162] Among them, R 2 (coefficient of determination) is used to measure the matching degree between the fitting function of the proportion of the characteristic product of the gas and the actual detection data.

[0163] When the measured proportion of SOF2 at port 1 (4m) = 0.28 (t = 10min), the inferred fault point is:

[0164]

[0165] Solving gives L0 ≈ 7.6m (actual 8m, error 5%).

[0166] In some embodiments, determining the fault point of the GIS / GIL pipeline to be detected based on the proportion of the characteristic product and the gas diffusion model further includes:

[0167] Obtain the data of the change of the concentration of the characteristic product of the fault point of the GIS / GIL pipeline to be detected over time, and calculate the change rate of the proportion of its characteristic product;

[0168] Combine the change rate of the proportion of the characteristic product with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected.

[0169] Specifically, by introducing the change rate of the proportion of characteristic products and combining it with the fault determination function, the positioning accuracy of the fault point in the GIS / GIL pipeline is further optimized. The traditional method only relies on static concentration data and cannot reflect the dynamic changes of the fault point (such as the fluctuation of discharge intensity or the influence of the environment on the gas diffusion rate). This solution can monitor the change rate in real time. For example, in a partial discharge fault, if the change rate of the concentration of SOF2 suddenly increases, it indicates that the energy at the fault point has increased.

[0170] In some embodiments, the change rate of the proportion of characteristic products is combined with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected, specifically including:

[0171] When the calculated fault point is between several ports, if the change rate of the proportion of characteristic products at port A is high, the fault point is close to port A;

[0172] When the calculated fault point is on the same side of several ports, the change rate of the proportion of characteristic products of several ports is compared to determine whether the fault point is close to port A.

[0173] Specifically, when the fault point is between ports, if the length of the GIS pipeline is 20 m, three detection ports are set: port A (5 m), port B (10 m), and port C (15 m). The initial model predicts that the fault point is at 8 m (between port A and port B), and the change rate of the proportion of SOF2 detected (within 10 minutes) is:

[0174] Port A: +0.015 mol / m 3 ·min;

[0175] Port B: +0.005 mol / m 3 ·min;

[0176] Port C: +0.002 mol / m 3 ·min;

[0177] It can be seen that the change rate of port A is significantly higher than that of port B / C, indicating that the fault point is closer to port A.

[0178] This application also proposes a GIS / GIL pipeline fault positioning system based on a calibration test platform for gas-insulated metal-enclosed switchgear decomposition product detection technology, including:

[0179] An insulating gas collection unit, configured at several ports of the GIS / GIL pipeline, for collecting the insulating gas in the faulty GIS / GIL pipeline;

[0180] A gas decomposition and analysis unit, connected to the insulating gas collection unit, for decomposing the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products;

[0181] A fault database determination unit, storing the correspondence between the types of typical characteristic products, the proportion of typical characteristic products, and the corresponding fault types;

[0182] A gas diffusion model construction unit, constructing a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0183] A unit for collecting the gas to be measured, configured at several ports of the GIS / GIL pipeline to be detected, for collecting the gas to be measured in real time;

[0184] A fault type determination unit, querying the fault database according to the types of characteristic products included in the gas to be measured and the proportion of characteristic products corresponding to the types of characteristic products, to determine the fault type of the GIS / GIL pipeline to be detected;

[0185] A fault point location unit, determining the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0186] This application also proposes a readable storage medium, storing a computer program, when the computer program is executed by a processor, causing the processor to execute the following steps:

[0187] Collect the insulating gas at several ports of the faulty GIS / GIL pipeline;

[0188] Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products, construct a fault database according to the types of typical characteristic products and the proportion of typical characteristic products and the corresponding fault types, and construct a gas diffusion model according to the proportion of typical characteristic products of the insulating gas at different ports;

[0189] Collect the gas to be measured at several ports of the GIS / GIL pipeline to be detected in real time, and obtain the types of characteristic products included in the gas to be measured and the proportion of characteristic products corresponding to the types of characteristic products;

[0190] Query the fault database according to the types of characteristic products and the corresponding proportion of characteristic products, determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0191] This application also proposes a computer device, including a memory and a processor, the memory stores a computer program, and the computer program is executed by the processor as follows:

[0192] Collect the insulating gas at several ports of the faulty GIS / GIL pipeline;

[0193] Decompose the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products. Construct a fault database based on the types of typical characteristic products and the proportion of typical characteristic products corresponding to the corresponding fault types. Construct a gas diffusion model based on the proportion of typical characteristic products of the insulating gas at different ports.

[0194] Collect the gas to be measured at several ports of the GIS / GIL pipeline to be detected in real time, and obtain the types of characteristic products included in the gas to be measured and the proportion of the characteristic products corresponding to the types of characteristic products.

[0195] Query the fault database according to the types of characteristic products and the corresponding proportion of characteristic products to determine the fault type of the GIS / GIL pipeline to be detected. Determine the fault point of the GIS / GIL pipeline to be detected according to the proportion of characteristic products and the gas diffusion model.

[0196] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, any reference to a memory, storage, database, or other medium used in the various embodiments provided in the present application can include non-volatile and / or volatile memories. Non-volatile memories can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memories can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), Rambus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and Rambus dynamic RAM (RDRAM), etc.

[0197] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0198] The above-described embodiments merely represent several implementation manners of the present application. The description thereof is relatively specific and detailed, but it should not be construed as a limitation on the patent scope of the present application. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present application, several modifications and improvements can still be made, and these all fall within the protection scope of the present application. What is disclosed above is only the preferred embodiments of the present invention, and of course, the scope of the rights of the present invention cannot be limited thereby. Therefore, equivalent changes made according to the claims of the present invention still fall within the scope covered by the present invention.

Claims

1. A calibration test platform for the decomposition product detection technology of a gas-insulated metal-enclosed switchgear, characterized in that, Including: External device: including a power source, a solid-state switch, a temperature / pressure monitoring device, an air inlet, an air outlet, an insulating gas storage device, and a vacuum pumping device; Gas reaction module: including a GIS / GIL pipeline, a number of ports, and a fault / defect generating device. The GIS / GIL pipeline uses a 126 kV GIS / GIL bus section, and a fault / defect device is installed inside it to simulate various determined levels of power fault states; Gas inspection module: including a gas collection device and a concentration calculation device, used to collect the gas at a number of ports of the GIS / GIL pipeline and transmit the obtained data to the computer simulation module; Computer simulation module: including a fault database construction unit, a gas diffusion model construction platform, a characteristic product ratio analysis platform, and a fault diagnosis platform: The fault database construction unit: constructed based on the characteristic product types and ratio data under typical fault states collected in advance, used to store different fault types and corresponding characteristic product information; The gas diffusion model construction platform: constructs a gas diffusion model based on the typical characteristic product ratios of the insulating gas at different ports, and uses theories such as Fick's diffusion law to simulate the diffusion process of the characteristic products inside the GIS / GIL pipeline; The characteristic product ratio analysis platform: used to analyze in real time the types of characteristic products included in the gas to be measured and the characteristic product ratios corresponding to the types of characteristic products; The fault diagnosis platform: used to determine the fault type by querying the fault database according to the types and ratios of the characteristic products collected in real time; and combine the gas diffusion model and the characteristic product ratio data to calculate and determine the fault point location of the GIS / GIL pipeline to be detected through an algorithm.

2. A GIS / GIL pipeline fault location method based on a calibration test platform for decomposition product detection technology of gas-insulated metal-enclosed switchgear, characterized in that, The method includes: Collect the insulating gas at a number of ports of the GIS / GIL pipeline with a fault; Decompose the insulating gas to obtain the typical characteristic product types and typical characteristic product ratios, construct a fault database according to the typical characteristic product types and typical characteristic product ratios and the corresponding fault types, and construct a gas diffusion model according to the typical characteristic product ratios of the insulating gas at different ports; Collect in real time the gas to be measured at a number of ports of the GIS / GIL pipeline to be detected, and obtain the types of characteristic products included in the gas to be measured and the characteristic product ratios corresponding to the types of characteristic products; Query the fault database according to the types of characteristic products and the corresponding characteristic product ratios to determine the fault type of the GIS / GIL pipeline to be detected, and determine the fault point of the GIS / GIL pipeline to be detected according to the characteristic product ratios and the gas diffusion model.

3. The GIS / GIL pipeline fault location method for the calibration test platform based on the decomposition product detection technology of gas-insulated metal-enclosed switchgear according to claim 2, characterized in that, The typical characteristic product types and typical characteristic product ratios are matched with corresponding fault types, specifically including: When a local overheating fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2F2, CO2; When a surface discharge fault occurs in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, CO2, CF4; When there is a disconnector operation failure in the GIS / GIL pipeline, the corresponding typical characteristic products are SOF2, SO2, and CO2; When 17.232 < Y < 56.788 and 0 < Z < 43.212, it is determined that the GIS / GIL pipeline has a local overheating failure; When 0 < X < 31.648, 0 < Y < 17.232 and 0 < X < 57.4359, 17.232 < Y < 56.788, it is determined that the GIS / GIL pipeline has a surface discharge failure; When 31.648 < X < 100 and 0 < Y < 17.232, it is determined that the GIS / GIL pipeline has a disconnector operation failure; Among them, X represents the proportion of SOF2 in the total gas content, Y represents the proportion of the sum of the concentrations of SOF2 and SO2 gases in the total gas content, and Z represents the proportion of the sum of the concentrations of CO2 and CF4 gases in the total gas content.

4. The GIS / GIL pipeline fault location method for the calibration test platform based on the decomposition product detection technology of gas-insulated metal-enclosed switchgear according to claim 2, wherein, The determination of the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model specifically includes: Analyze the proportion of the characteristic products according to the gas diffusion model; Perform data fitting on the proportion of the characteristic products to obtain a fault determination function of the proportion of different gas characteristic products varying with time t and the distance L from the fault point; Based on the proportion of different gas characteristic products and the fault determination function, determine the fault point of the GIS / GIL pipeline in the fault database.

5. The GIS / GIL pipeline fault location method for the calibration test platform based on the decomposition product detection technology of gas-insulated metal-enclosed switchgear according to claim 4, wherein The performance of data fitting on the proportion of the characteristic products to obtain a fault determination function of the proportion of different gas characteristic products varying with time t and the distance L from the fault point specifically includes: Taking the distance L from the fault point at the same time as the abscissa or different times t at the same position as the abscissa, and taking the corresponding proportion of different gas characteristic products as the ordinate, establish a working curve to obtain the fitting correlation coefficient; Adjust the fault determination function according to the fitting correlation coefficient.

6. The GIS / GIL pipeline fault location method for the calibration test platform based on the decomposition product detection technology of gas-insulated metal-enclosed switchgear according to claim 2, wherein, The determination of the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model further includes: Obtain the data of the change of the concentration of the characteristic products at the fault point of the GIS / GIL pipeline to be detected over time, and calculate the change rate of the proportion of its characteristic products; Combine the change rate of the proportion of the characteristic products with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected.

7. The GIS / GIL pipeline fault location method for the calibration test platform based on the decomposition product detection technology of gas-insulated metal-enclosed switchgear according to claim 6, characterized in that The combination of the change rate of the proportion of the characteristic products with the fault determination function to adjust the fault point of the GIS / GIL pipeline to be detected specifically includes: When the calculated fault point is between several ports, if the change rate of the proportion of the characteristic products at port A is high, the fault point is close to port A; When the calculated fault point is on the same side of several ports, judge whether the fault point is close to port A by comparing the change rates of the proportions of the characteristic products at several ports.

8. A fault location system for GIS / GIL pipelines, characterized in that, It includes: An insulating gas collection unit, configured at several ports of the GIS / GIL pipeline, for collecting the insulating gas in the faulty GIS / GIL pipeline; A gas decomposition and analysis unit, connected to the insulating gas collection unit, for decomposing the insulating gas to obtain the types of typical characteristic products and the proportion of typical characteristic products; A fault database determination unit stores the correspondence relationship between the typical characteristic product types, the proportion of typical characteristic products, and the corresponding fault types. A gas diffusion model construction unit constructs a gas diffusion model based on the proportion of typical characteristic products of the insulating gas at different ports. A unit for collecting the gas to be measured is arranged at several ports of the GIS / GIL pipeline to be detected and is used for collecting the gas to be measured in real time. A fault type determination unit queries the fault database according to the characteristic product types included in the gas to be measured and the proportion of the characteristic products corresponding to the characteristic product types, and determines the fault type of the GIS / GIL pipeline to be detected. A fault point location unit determines the fault point of the GIS / GIL pipeline to be detected according to the proportion of the characteristic products and the gas diffusion model.

9. A readable storage medium stores a computer program. When the computer program is executed by a processor, the processor is caused to execute the steps of the method according to any one of claims 2 to 6.

10. A computer device includes a memory and a processor. The memory stores a computer program. When the computer program is executed by the processor, the processor is caused to execute the steps of the method according to any one of claims 2 to 6.

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