GIS insulation structure physical model construction method, system, equipment and medium

Abstract

The invention relates to the field of high-voltage electrical engineering, in particular to a GIS insulation structure physical model construction method, system and device and a medium, and the method comprises the steps: obtaining first electric field distribution data of a GIS insulation structure under a preset voltage; based on the first electric field distribution data, constructing an equivalent electric field model of the GIS insulation structure; calculating second electric field distribution data of the equivalent electric field model by using finite element electric field simulation; the equivalent electric field model is adjusted, so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, and an optimal equivalent electric field model is obtained; and constructing a physical model of the GIS insulation structure based on the optimal equivalent electric field model. According to the method, the engineering representativeness and accuracy of data obtained by performing experimental researches such as partial discharge by using the physical model are greatly improved, and a solid foundation is laid for reliable conversion of laboratory research results to actual engineering application.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of high-voltage electrical engineering, and in particular to a GIS insulation structure physical model construction method, system, device and medium. BACKGROUND

[0002] The gas insulated metal enclosed switchgear (GIS) is a key high-voltage power distribution device in modern power systems. The GIS realizes the miniaturization, high reliability and maintenance-free of the device by sealing the circuit breaker, disconnector, grounding switch, transformer and other components in a grounded metal shell filled with SF6 insulation gas. The insulation system inside the GIS is the core of its safe operation, and the pot-type insulator plays an important role in supporting high-voltage conductors, isolating gas chambers and maintaining main insulation. Due to the complex geometry of the pot-type insulator and its location in the "three-interface" region where the conductor, epoxy resin solid insulation and SF6 gas intersect, the electric field distribution at this point is prone to distortion, forming a local high electric field strength point. Under the action of high electric field, ionization discharge may occur in the local area of the insulating medium, i.e. partial discharge. Partial discharge is not only an early sign of insulation degradation, but also a major cause of accelerated aging of insulation and eventual breakdown accidents. Therefore, accurately grasping the electric field distribution characteristics of the GIS insulation structure, especially near the pot-type insulator, is of great significance for assessing the insulation state of the device, warning potential faults, optimizing insulation design and ensuring the safe and stable operation of the power grid.

[0003] Currently, in order to reduce costs and complexity, simplified electrode systems such as rod-plate and needle-plate are commonly used to simulate the discharge source when conducting GIS partial discharge characteristic research in the laboratory. Although such conventional models are easy to construct and control, their geometric structure is far from the complex structure near the real GIS pot-type insulator, and the electric field patterns such as electric field strength gradient and extremely uneven electric field distribution established by them are significantly different from the electric field distribution at the "three-interface" in the real device, which cannot equivalently represent the electric field distribution characteristics of the real GIS insulation structure. Therefore, the experimental data obtained based on such models, such as the initiation, development and characterization of partial discharge, cannot accurately reflect and extrapolate the insulation performance in the actual GIS device, and the engineering representativeness and applicability of the experimental results are severely limited. SUMMARY

[0004] To solve the above problems, the present application provides a GIS insulation structure physical model construction method, system, device and medium.

[0005] The first aspect of the present application discloses a GIS insulation structure physical model construction method, comprising: obtaining first electric field distribution data of the GIS insulation structure under a preset voltage; constructing an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data; calculating second electric field distribution data of the equivalent electric field model using finite element electric field simulation; adjusting the equivalent electric field model so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, to obtain an optimal equivalent electric field model; constructing a physical model of the GIS insulation structure based on the optimal equivalent electric field model.

[0006] Further, the step of obtaining the first electric field distribution data of the GIS insulation structure under a preset voltage includes: performing three-dimensional modeling on the GIS insulation structure to obtain a three-dimensional model; calculating the electric field distribution of the three-dimensional model under a preset voltage using finite element electric field simulation; extracting the field intensity distribution, maximum electric field position and electric field gradient in the electric field distribution as the first electric field distribution data.

[0007] Further, the step of constructing an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data includes: analyzing the first electric field distribution data to identify key areas of electric field concentration and electric field gradient change characteristics; wherein the key areas refer to areas where the electric field intensity exceeds a preset intensity threshold; Based on the key areas and electric field gradient change characteristics, using high-voltage electrodes, insulating dielectric analog bodies and ground electrodes to construct the equivalent electric field model of the GIS insulation structure.

[0008] Further, the step of adjusting the equivalent electric field model so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, to obtain an optimal equivalent electric field model includes: obtaining electric field data of the key areas from the first electric field distribution data as reference electric field data; obtaining electric field data of the corresponding areas from the second electric field distribution data as analog electric field data; wherein the corresponding areas refer to positions in the equivalent electric field model corresponding to the key areas; Adjust the geometric parameters and layout parameters of the equivalent electric field model so that the difference between the reference electric field data and the analog electric field data reaches a preset difference condition, to obtain an optimal equivalent electric field model.

[0009] Further, the step of adjusting the geometric parameters and layout parameters of the equivalent electric field model so that the difference between the reference electric field data and the analog electric field data reaches a preset difference condition, to obtain an optimal equivalent electric field model includes: adjusting geometric parameters and layout parameters of the equivalent electric field model, so that the simulated electric field data after linear transformation has minimum root mean square error with the reference electric field data.

[0010] Further, the step of constructing the physical model of the GIS insulation structure based on the optimal equivalent electric field model comprises: determining the structure and size of the physical model according to the geometric parameters and layout parameters of the optimal equivalent electric field model, and performing computer-aided design modeling; The structure of the physical model comprises an inner electrode for simulating a high-voltage conductor, a solid dielectric support for simulating an insulator, and a grounded outer cylinder for simulating a grounded metal shell; the structure of the physical model is symmetrical based on the vertical central axis of the inner electrode.

[0011] Further, the step of determining the structure of the physical model further comprises: selecting an insulating material for the solid dielectric support, which has a dielectric constant matched with that of the actual GIS insulation material; selecting a conductive material for the inner electrode and the grounded outer cylinder.

[0012] The second aspect of the present application discloses a GIS insulation structure physical model construction system, comprising: an acquisition module configured to acquire first electric field distribution data of a GIS insulation structure under a preset voltage; a first construction module configured to construct an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data; a calculation module configured to calculate second electric field distribution data of the equivalent electric field model using finite element electric field simulation; an adjustment module configured to adjust the equivalent electric field model so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, and obtain an optimal equivalent electric field model; a second construction module configured to construct a physical model of the GIS insulation structure based on the optimal equivalent electric field model.

[0013] The third aspect of the present application discloses an electronic device, which comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of any one of the GIS insulation structure physical model construction methods disclosed in the first aspect of the present application when executing the computer program.

[0014] The fourth aspect of the present application discloses a storage medium, which stores a computer program, and the computer program implements the steps of any one of the GIS insulation structure physical model construction methods disclosed in the first aspect of the present application when executed by a processor.

[0015] The present application firstly acquires accurate electric field distribution data of a real GIS insulation structure under a preset voltage, and uses the data as a benchmark target to guide the construction of an initial equivalent electric field model. Then, the equivalent model is repeatedly calculated and adjusted by using finite element electric field simulation, and the difference between the simulation results and the real electric field benchmark data is continuously reduced until the preset condition is met, so as to determine an optimal equivalent electric field model which can highly approximate the real complex insulation structure in terms of electric field distribution. Finally, a physical entity is constructed based on the electric field equivalent optimal model. The present application takes electric field distribution equivalence as the only optimization target and convergence condition for physical model construction, ensuring that the constructed physical model is no longer a simplified simulation of the geometric structure, but a high-fidelity reproduction of the electric field distribution characteristics of the key research areas such as the three interfaces in the experimental scale. The GIS insulation structure physical model constructed based on the present application has highly similar electric field distribution characteristics to the key insulation parts of the real GIS device, thereby greatly improving the engineering representativeness and accuracy of the data obtained by using the physical model for partial discharge and other experimental research, and laying a solid foundation for the reliable transformation of laboratory research results to practical engineering applications. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following will briefly introduce the drawings needed in the embodiment description. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0017] Figure 1 is a flowchart of a GIS insulation structure physical model construction method disclosed by an embodiment of the present application; Figure 2 is a structural diagram of a GIS insulation structure physical model construction system disclosed by an embodiment of the present application; Figure 3 is a structural diagram of an electronic device disclosed by an embodiment of the present application. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the present application scheme, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0019] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, or product comprising a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, apparatus, or products.

[0020] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0021] Please see Figure 1 As shown, Figure 1 This is a flowchart illustrating a method for constructing a physical model of a GIS insulation structure, as disclosed in an embodiment of the present invention. Figure 1 As shown, the method for constructing the physical model of the GIS insulation structure may include the following operations: S101. Obtain the first electric field distribution data of the GIS insulation structure under a preset voltage; In this optional embodiment, the GIS insulation structure is an insulation system with a basin insulator as the core, consisting of a high-voltage conductor, epoxy resin solid insulation and SF6 gas insulation medium. Particular attention is paid to the three-interface region where the conductor-solid insulation-gas three phases meet. This region is prone to electric field concentration and distortion due to abrupt changes in geometry and differences in the dielectric properties of the materials.

[0022] In an optional embodiment, the step of obtaining the first electric field distribution data of the GIS insulation structure under a preset voltage includes: A 3D model of the GIS insulation structure is obtained. The electric field distribution of the three-dimensional model under a preset voltage was calculated using finite element electric field simulation. The field strength distribution, the location of the maximum electric field, and the electric field gradient are extracted from the electric field distribution as the first electric field distribution data.

[0023] In the optional embodiment, the preset voltage refers to the simulation excitation voltage applied when obtaining the electric field distribution data of the insulation structure by finite element electric field simulation. The voltage value of the preset voltage should be able to effectively stimulate and characterize the electric field distribution characteristics of the key area of the insulation structure in actual operation or insulation test, that is, to cover the voltage range from the rated operating voltage of the device to the voltage that can cause significant distortion of the electric field and even the initiation of partial discharge, for example, including the rated phase voltage, the maximum continuous operating voltage, and the reference withstand or starting discharge voltage threshold, to ensure that the obtained first electric field distribution data can fully reflect the electric field pattern of the insulation structure near its electrical strength limit state, thereby providing real, comprehensive and engineering representative data basis for subsequent construction of a physical model with equivalent electric field threat.

[0024] The three-dimensional modeling can use professional three-dimensional CAD software such as SolidWorks, Creo, CATIA, or use the built-in geometry tools of simulation software such as ANSYS SpaceClaim, COMSOL Multiphysics built-in CAD module, or use general three-dimensional modeling software such as SketchUp, Blender, and the embodiments of the present application are not limited. The finite element electric field simulation can be realized by finite element electric field simulation software such as COMSOL Multiphysics, ANSYS, Altair HyperWorks, etc.

[0025] It can be seen that the optional embodiment first obtains the accurate geometric shape of the real GIS insulation structure by three-dimensional modeling, then calculates the detailed electric field distribution of the three-dimensional model under the preset voltage using finite element electric field simulation, and systematically extracts key data including field strength distribution, maximum electric field position and electric field gradient as first electric field distribution data, thereby establishing a high-fidelity digital reference electric field. This process ensures that the obtained first electric field distribution data is not derived from a simplified model or empirical estimation, but directly from the fine numerical analysis of the target real structure, thereby comprehensively and accurately capturing the real characteristics of electric field distortion and concentration near the complex structure such as the basin-type insulator, especially at the conductor-solid insulation-gas three-interface, providing reliable and detailed original basis for subsequent construction and benchmarking of the equivalent electric field model, significantly improving the input data quality and source accuracy of the entire physical model construction process, and fundamentally avoiding the subsequent equivalent deviation caused by the distortion of the initial electric field information.

[0026] S102, constructing an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data; In an optional embodiment, the step of constructing an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data comprises: Analyze the first electric field distribution data to identify key regions of electric field concentration and characteristics of electric field gradient changes; wherein, the key regions refer to areas where the electric field intensity exceeds a preset intensity threshold; Based on the key regions and electric field gradient variation characteristics, an equivalent electric field model of the GIS insulation structure is constructed using high-voltage electrodes, an insulating medium simulator, and a grounding electrode.

[0027] In this optional embodiment, the high-voltage electrode refers to an active excitation conductor connected to the high-potential output terminal of the excitation power supply used in the simulation or experiment within the equivalent electric field model. This conductor is used to artificially establish the required high electric field in the model, and the potential difference between its voltage and the ground electrode is greater than a preset potential difference threshold. The potential difference between the high-voltage electrode and the ground electrode is the fundamental driving source for forming the electric field distribution within the equivalent electric field model.

[0028] Constructing an equivalent electric field model based on the key regions and electric field gradient variation characteristics means that the logical starting point and design constraints of the construction process directly originate from real electric field data, i.e., the first electric field distribution data. For example, if the first electric field distribution data shows a strong electric field concentration in the triangular region of the three interfaces where the basin insulator contacts the conductor, and the electric field strength decreases sharply along the normal direction of the insulator surface, then reproducing the variation law of the field strength amplitude in this specific region must be the primary goal when constructing the equivalent model. This analysis result directly determines the initial design values ​​of core geometric parameters such as the radius of curvature of the high-voltage electrode tip, the contour shape of the groove or flange of the insulating medium simulation body, and the relative distance between them, ensuring that the equivalent electric field model focuses on simulating the real electric field threat pattern from the source.

[0029] This optional embodiment analyzes the first electric field distribution data to purposefully identify key regions where the electric field strength exceeds a preset threshold and the characteristic patterns of electric field gradient changes. Based on this, it guides the construction of an initial equivalent electric field model using fundamental elements such as high-voltage electrodes, insulating dielectric simulators, and grounding electrodes. This optional embodiment avoids the blind adoption of standard electrode arrangements based on experience, ensuring that the initial design of the equivalent electric field model is not merely a simple imitation of geometric structures, but rather guided by the characteristics of the electric field distribution. By specifically reproducing or simulating these identified key regions and gradient characteristics in the model, the constructed initial equivalent electric field model establishes a direct physical connection with the core electric field issues of real GIS insulation structures. This provides a more physically reasonable and physically similar starting point for subsequent iterative optimization, effectively enhancing the purposefulness and initial fit of the equivalent electric field model construction, and reducing the blindness and number of iterations in subsequent adjustments.

[0030] S103. Calculate the second electric field distribution data of the equivalent electric field model using finite element electric field simulation. S104, adjusting the equivalent electric field model to make the difference between the first electric field distribution data and the second electric field distribution data reach a preset difference condition, and obtaining an optimal equivalent electric field model; In an optional embodiment, the step of adjusting the equivalent electric field model to make the difference between the first electric field distribution data and the second electric field distribution data reach a preset difference condition, and obtaining an optimal equivalent electric field model comprises: obtaining electric field data of the key region from the first electric field distribution data as reference electric field data; obtaining electric field data of a corresponding region from the second electric field distribution data as simulated electric field data; wherein the corresponding region refers to a position in the equivalent electric field model corresponding to the key region; adjusting geometric parameters and layout parameters of the equivalent electric field model to make the difference between the reference electric field data and the simulated electric field data reach a preset difference condition, and obtaining an optimal equivalent electric field model.

[0031] In this optional embodiment, the geometric parameters refer to characteristic quantities for defining the shape and size of each component in the equivalent electric field model, such as the curvature radius of the high-voltage electrode tip, the thickness or inclination angle of the insulating dielectric simulation body, and the diameter of the ground electrode plate. The layout parameters refer to characteristic quantities for defining the relative position and directional relationship between each component in the equivalent electric field model, such as the air gap distance between the high-voltage electrode and the surface of the insulating dielectric simulation body, the angle between the axis of the insulating dielectric simulation body and the ground electrode, and the depth of the high-voltage electrode into the insulating dielectric.

[0032] The corresponding region is illustrated as follows: if the key region is the three-interface triangular region of the real GIS basin-type insulator in contact with the high-voltage conductor, the corresponding region in the equivalent electric field model is the boundary region composed of the high-voltage electrode tip, the surface of the insulating dielectric simulation body, and the small air gap therebetween, where the electric field is most concentrated.

[0033] This optional embodiment, when adjusting the equivalent electric field model, does not compare the electric field data of the entire field in a general way. Instead, it strategically extracts the electric field data of identified key regions from the first electric field distribution data as a reference benchmark, and simultaneously extracts the electric field data of the corresponding regions from the simulation results of the equivalent electric field model for comparison. This method of focusing on the differences in key regions has clear physical relevance and engineering applicability. Insulation failure often begins in the local area with the most severe electric field distortion. Therefore, this optional embodiment concentrates optimization resources on ensuring the accuracy of electric field reproduction in these high-risk areas. By repeatedly adjusting the geometric and layout parameters of the model, the simulated electric field data generated by the equivalent model at the corresponding locations continuously approaches the real reference electric field data of the key regions until the preset conditions are met. This ensures that the final optimal equivalent electric field model can achieve high-precision electric field distribution equivalence in the most dangerous and critical electric field concentration areas of the real structure, thereby greatly improving the effectiveness and relevance of the constructed model in studying insulation problems related to the initiation and development of partial discharge.

[0034] In an optional embodiment, the step of adjusting the geometric parameters and layout parameters of the equivalent electric field model so that the difference between the reference electric field data and the simulated electric field data reaches a preset difference condition to obtain the optimal equivalent electric field model includes: The geometric and layout parameters of the equivalent electric field model are adjusted so that the root mean square error between the simulated electric field data and the reference electric field data is minimized after linear transformation.

[0035] In this optional embodiment, the simulated electric field data can be linearly transformed according to the following formula: ; in, Indicates the corresponding to the first Simulated electric field data for each corresponding region Indicates the first Simulated electric field data after linear transformation of corresponding regions Indicates the scaling factor. This represents the translation constant. It can take the value 0.

[0036] The root mean square error It can be described as: ; in, Indicates the number of key areas. Indicates the corresponding to the first Reference electric field data for key regions.

[0037] In the construction of the equivalent simplified physical model, due to the simplification of geometry and material, the absolute electric field strength value generated may have a proportional deviation or a benchmark difference in integrity with the real structure, but the key to determining the occurrence and development law of partial discharge lies in the relative form and gradient characteristics of the electric field distribution. Linear transformation parameters and are introduced, allowing flexible adjustment of the amplitude and benchmark of the simulation data during optimization, so as to focus the optimization target on making the two sets of data optimally consistent in distribution form, without being too rigid in the complete consistency of the absolute value. By minimizing the root mean square error between the transformed data and the reference data as the optimization target, in essence, a model state that most closely approximates the real situation in the electric field distribution form is sought, which on the one hand avoids the interference of the absolute value deviation caused by the inherent simplification that cannot be eliminated on the optimization criterion, and on the other hand makes the optimization process more sensitive to capture and reproduce the change law of the electric field gradient.

[0038] The optional embodiment introduces a clear and calculable mathematical optimization target for the model adjustment process: by adjusting the geometric parameters and layout parameters, the root mean square error between the simulation electric field data generated by the equivalent electric field model in the key area and the reference electric field data after a linear transformation reaches a minimum. Using the root mean square error as an evaluation index, the overall deviation of the two sets of electric field data in the entire key area can be comprehensively measured, and the introduction of linear transformation increases the flexibility of optimization, allowing the model to make reasonable scale adjustments while maintaining the consistency of the electric field distribution form. By solving the minimization problem to determine the optimal parameters, the entire adjustment process is transformed from relying on subjective experience and trial-and-error to being driven by objective data and systematic optimization, thereby significantly improving the accuracy of the optimal equivalent electric field model in the mathematical sense and the repeatability of the optimization results.

[0039] S105, constructing a physical model of the GIS insulation structure based on the optimal equivalent electric field model.

[0040] In an optional embodiment, the step of constructing a physical model of the GIS insulation structure based on the optimal equivalent electric field model includes: determining the structure and size of the physical model and performing computer-aided design modeling according to the geometric parameters and layout parameters of the optimal equivalent electric field model; wherein the structure of the physical model includes an inner electrode for simulating a high-voltage conductor, a solid dielectric support for simulating an insulator, and a grounded outer cylinder for simulating a grounded metal shell; the structure of the physical model is symmetrical based on the vertical central axis of the inner electrode.

[0041] This optional embodiment uses computer-aided design to accurately model a 3D structure based on optimized geometric and layout parameters, defining the core structure of the physical model: an inner electrode simulating a high-voltage conductor, a solid dielectric support simulating an insulator, and a grounding outer cylinder simulating a grounding shell, all symmetrically positioned based on the vertical central axis of the inner electrode. Computer-aided design ensures that manufacturing drawings strictly adhere to optimized dimensions. Furthermore, the use of a symmetrical structure not only reasonably simplifies typical real GIS structures but also significantly reduces the complexity and uncertainty of the physical model in manufacturing, assembly, and subsequent experimental setup. It avoids additional electric field distortions or experimental variables introduced by structural asymmetry, enabling experiments based on this physical model to more purely and reliably reflect the discharge characteristics determined by the equivalent electric field design, thereby enhancing the consistency and operability of experimental research.

[0042] In an optional embodiment, the structure for determining the physical model further includes: For the solid dielectric support, an insulating material with a dielectric constant matching that of the actual GIS insulating material is selected; Conductive materials are selected for the inner electrode and the grounded outer cylinder.

[0043] In an optional embodiment, the solid dielectric support is made of epoxy resin, and the conductive material is made of aluminum or copper.

[0044] This optional embodiment further specifies the principles for material selection when determining the physical model structure: insulating materials with dielectric constants matching those of actual GIS insulation materials are selected for the solid dielectric support, and suitable conductive materials are selected for the inner electrodes and grounding outer cylinder. This ensures that the physical model not only matches the optimal equivalent electric field model in geometry and spatial layout, but also closely approximates the real device in terms of the fundamental electromagnetic properties of the materials. The matching dielectric constant allows for the realistic simulation of the electric field distribution within the solid dielectric, especially the electric field strength and refraction at the gas-solid interface; while the appropriate selection of conductive materials for the electrodes ensures the uniformity of the electrode surface potential. Therefore, the physical model constructed in this embodiment achieves a deeper understanding from geometric field equivalence to material-geometric comprehensive electromagnetic equivalence. This allows the electric field environment formed inside the model when voltage is applied to more comprehensively approximate the working conditions of the real GIS insulation structure at a physical level, thereby greatly improving the correlation and reliability between the observed discharge phenomena, initiation voltage, and other characteristics and the actual situation when using this physical model for partial discharge experiments.

[0045] Please see Figure 2 As shown, Figure 2 This is a schematic diagram of a GIS insulation structure physical model construction system disclosed in an embodiment of the present invention, comprising: The acquisition module 201 is configured to acquire first electric field distribution data of a GIS insulation structure under a preset voltage. The first construction module 202 is configured to construct an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data. The calculation module 203 is configured to calculate second electric field distribution data of the equivalent electric field model by using finite element electric field simulation. The adjustment module 204 is configured to adjust the equivalent electric field model so that a difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, and obtain an optimal equivalent electric field model. The second construction module 205 is configured to construct a physical model of the GIS insulation structure based on the optimal equivalent electric field model. The specific limitations of the GIS insulation structure physical model construction system can refer to the limitations of the GIS insulation structure physical model construction method described above, and will not be repeated here. The modules in the GIS insulation structure physical model construction system described above can be realized by software, hardware and combinations thereof in whole or in part. The modules described above can be embedded in or independent of the processor in the electronic device in hardware format, or can be stored in the memory in the electronic device in software format, so that the processor can call the operations corresponding to the modules.

[0046] It should be noted that, in order to highlight the innovative part of the present application, modules not closely related to solving the technical problems proposed in the present application are not introduced in this embodiment, but this does not mean that there are no other modules in this embodiment.

[0047] As shown in Figure 3 The electronic device 1 provided by the present application can include a memory 12, a processor 13 and a bus, and can also include a computer program stored in the memory 12 and executable on the processor 13, such as a GIS insulation structure physical model construction program.

[0048] The memory 12 includes at least one type of readable storage medium, such as a flash memory, a mobile hard disk, a multimedia card, a card-type memory (e.g., an SD or DX memory, etc.), a magnetic memory, a disk, an optical disk, etc. In some embodiments, the memory 12 can be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 12 can also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. Further, the memory 12 can include both an internal storage unit and an external storage device of the electronic device 1. The memory 12 can be used to store application software installed in the electronic device 1 and various data, such as codes for constructing a GIS insulation structure physical model, and can also be used to temporarily store data that has been output or will be output.

[0049] The processor 13 can be composed of an integrated circuit in some embodiments, such as a single packaged integrated circuit or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, combinations of various control chips, etc. The processor 13 is a control core of the electronic device 1, and is connected to various components of the electronic device 1 through various interfaces and lines. The processor 13 executes programs or modules stored in the memory 12 (e.g., a GIS insulation structure physical model construction program, etc.) and calls data stored in the memory 12 to perform various functions and process data of the electronic device 1.

[0050] The processor 13 executes an operating system of the electronic device 1 and various application programs installed therein. The processor 13 executes the application programs to implement the steps of the GIS insulation structure physical model construction method described above.

[0051] For example, the computer program can be divided into one or more modules stored in the memory 12 and executed by the processor 13 to complete the present application. The one or more modules can be a series of computer program instruction segments capable of completing a specific function, which are used to describe the execution process of the computer program in the electronic device 1. For example, the computer program can be divided into an acquisition module 201, a first construction module 202, a calculation module 203, an adjustment module 204, and a second construction module 205.

[0052] The integrated unit in the form of the software function module can be stored in a computer readable storage medium, which can be non-volatile or volatile. The software function module is stored in a storage medium, and includes instructions for enabling a computer device (which can be a personal computer, a computer device, or a network device, etc.) or a processor to execute part of the GIS insulation structure physical model construction method.

[0053] In summary, the GIS insulation structure physical model construction method, system, device and medium disclosed by the application first acquires accurate electric field distribution data of a real GIS insulation structure under a preset voltage, and uses the data as a benchmark target to guide the construction of an initial equivalent electric field model. Then, the equivalent model is repeatedly calculated and adjusted by using finite element electric field simulation, and the difference between the simulation results and the real electric field benchmark data is continuously reduced until the preset condition is met, so as to determine an optimal equivalent electric field model that can highly approximate the real complex insulation structure in terms of electric field distribution. Finally, a physical entity is constructed based on the optimal electric field equivalent model. The application takes electric field distribution equivalence as the only optimization target and convergence condition for physical model construction, ensuring that the constructed physical model is no longer a simplified simulation of the geometric structure, but a high-fidelity reproduction of the electric field distribution characteristics of the key research areas such as the three interfaces in the experimental scale. The GIS insulation structure physical model constructed based on the application has highly similar electric field distribution characteristics to the key insulation parts of the real GIS device, thereby greatly improving the engineering representativeness and accuracy of the data obtained by using the physical model for partial discharge and other experimental research, and laying a solid foundation for the reliable transformation of laboratory research results to practical engineering applications. Therefore, the application effectively overcomes the shortcomings of the prior art and has high industrial utilization value.

[0054] The above embodiments only exemplarily illustrate the principles and effects of the application, and are not used to limit the application. Any person skilled in the art can modify or change the above embodiments without departing from the spirit and scope of the application. Therefore, all equivalent modifications or changes made by those skilled in the art without departing from the spirit and technical thought of the application should be covered by the claims of the application.

Claims

1. A method for constructing a physical model of a GIS insulation structure, characterized in that, The method includes: Obtain the first electric field distribution data of the GIS insulation structure under a preset voltage; Based on the first electric field distribution data, an equivalent electric field model of the GIS insulation structure is constructed; The second electric field distribution data of the equivalent electric field model were calculated using finite element electric field simulation. The equivalent electric field model is adjusted so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, thereby obtaining the optimal equivalent electric field model. A physical model of the GIS insulation structure is constructed based on the optimal equivalent electric field model.

2. The method for constructing a physical model of a GIS insulation structure according to claim 1, characterized in that, The steps for obtaining the first electric field distribution data of the GIS insulation structure under a preset voltage include: A 3D model of the GIS insulation structure is obtained. The electric field distribution of the three-dimensional model under a preset voltage was calculated using finite element electric field simulation. The field strength distribution, the location of the maximum electric field, and the electric field gradient are extracted from the electric field distribution as the first electric field distribution data.

3. The method for constructing a physical model of a GIS insulation structure according to claim 1, characterized in that, The steps for constructing the equivalent electric field model of the GIS insulation structure based on the first electric field distribution data include: Analyze the first electric field distribution data to identify key regions of electric field concentration and characteristics of electric field gradient changes; wherein, the key regions refer to areas where the electric field intensity exceeds a preset intensity threshold; Based on the key regions and electric field gradient variation characteristics, an equivalent electric field model of the GIS insulation structure is constructed using high-voltage electrodes, an insulating medium simulator, and a grounding electrode.

4. The method for constructing a physical model of a GIS insulation structure according to claim 3, characterized in that, The steps of adjusting the equivalent electric field model to make the difference between the first electric field distribution data and the second electric field distribution data reach a preset difference condition, and obtaining the optimal equivalent electric field model, include: The electric field data of the key region is obtained from the first electric field distribution data as reference electric field data; The electric field data of the corresponding region is obtained from the second electric field distribution data as the simulated electric field data; wherein, the corresponding region refers to the position in the equivalent electric field model that corresponds to the key region; The geometric and layout parameters of the equivalent electric field model are adjusted so that the difference between the reference electric field data and the simulated electric field data reaches a preset difference condition, thereby obtaining the optimal equivalent electric field model.

5. The method for constructing a physical model of a GIS insulation structure according to claim 4, characterized in that, The steps of adjusting the geometric and layout parameters of the equivalent electric field model to make the difference between the reference electric field data and the simulated electric field data reach a preset difference condition, and obtaining the optimal equivalent electric field model, include: The geometric and layout parameters of the equivalent electric field model are adjusted so that the root mean square error between the simulated electric field data and the reference electric field data is minimized after linear transformation.

6. The method for constructing a physical model of a GIS insulation structure according to claim 1, characterized in that, The steps for constructing the physical model of the GIS insulation structure based on the optimal equivalent electric field model include: Based on the geometric and layout parameters of the optimal equivalent electric field model, the structure and dimensions of the physical model are determined and computer-aided design modeling is performed. The physical model includes an inner electrode for simulating a high-voltage conductor, a solid dielectric support for simulating an insulator, and a grounding outer cylinder for simulating a grounding metal shell; the structure of the physical model is symmetrical about the vertical central axis of the inner electrode.

7. The method for constructing a physical model of a GIS insulation structure according to claim 6, characterized in that, The structure for determining the physical model also includes: For the solid dielectric support, an insulating material with a dielectric constant that matches that of the actual GIS insulating material is selected; Conductive materials are selected for the inner electrode and the grounded outer cylinder.

8. A GIS insulation structure physical model construction system, characterized in that, include: The acquisition module is used to acquire the first electric field distribution data of the GIS insulation structure under a preset voltage; The first construction module is used to construct an equivalent electric field model of the GIS insulation structure based on the first electric field distribution data; The calculation module is used to calculate the second electric field distribution data of the equivalent electric field model using finite element electric field simulation; An adjustment module is used to adjust the equivalent electric field model so that the difference between the first electric field distribution data and the second electric field distribution data reaches a preset difference condition, thereby obtaining the optimal equivalent electric field model. The second construction module is used to construct a physical model of the GIS insulation structure based on the optimal equivalent electric field model.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the GIS insulation structure physical model construction method as described in any one of claims 1 to 7.

10. A storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the GIS insulation structure physical model construction method as described in any one of claims 1 to 7.

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