GIS equipment simulation method and system considering multi-physics field coupling

Abstract

The invention provides a GIS equipment simulation method and system considering multi-physics field coupling, and relates to the technical field of multi-physics field simulation, electromagnetic, heat flow and mechanical stress performance parameters of GIS equipment are acquired, and a GIS equipment local simulation geometric model under working conditions is constructed; setting boundary conditions of an electromagnetic field, a temperature field and a fluid field, performing grid division on the local simulation geometric model, and establishing a relation among multiple physical fields by combining a coupling relation among the multiple physical fields; performing preliminary simulation to obtain a local simulation geometric model after the GIS equipment is deformed, and performing simulation calculation on the deformed GIS equipment again to realize multi-physical field bidirectional coupling among an electromagnetic field, a heat flow field and a stress field; coupling iterative calculation among the multiple physical fields is carried out until convergence constraint conditions are met, and the simulation condition of each physical field, especially the electric field distribution condition after deformation under the GIS actual working condition is considered, is obtained.

Description

Technical Field

[0001] The present disclosure relates to the technical field of multi-physics field simulation, and in particular to a GIS equipment simulation method and system considering multi-physics field coupling. Background Art

[0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] Gas Insulated Switchgear (GIS) is very suitable for the construction of power plants and substations and is widely used in power systems because of its advantages such as small footprint, safe and reliable operation, easy inspection and maintenance, and strong scalability.

[0004] With the development of UHV transmission technology, GIS, as one of the core equipment of high-voltage power system, is of vital importance for its safety and reliability. In the process of manufacturing and operation of GIS equipment, the problem of multi-physical field coupling will be involved, including electromagnetic field, temperature field, fluid field, stress field, etc. If it is not effectively studied and analyzed, it will affect the structural design and operation and maintenance of GIS equipment to a certain extent.

[0005] In addition, most existing studies consider a single physical field or only consider the one-way coupling relationship between multiple physical fields, and rarely achieve the two-way coupling of multiple physical fields such as electromagnetic fields, thermal flow fields, and stress fields. Therefore, studying the more comprehensive multi-physical field coupling problem of GIS equipment has important engineering practical significance and theoretical foundation significance. Summary of the invention

[0006] In order to solve the above problems, the present invention proposes a GIS (Gas Insulated Switchgear) equipment simulation method and system considering multi-physical field coupling, taking into account the electromagnetic field, thermal flow field and stress field inside the GIS equipment, and fully considering the coupling effect between various physical fields, thereby performing multi-faceted and effective simulation calculations on the operation of the actual GIS equipment.

[0007] According to some embodiments, the present disclosure adopts the following technical solutions:

[0008] A GIS equipment simulation method considering multi-physics field coupling includes:

[0009] Obtain electromagnetic, thermal flow and mechanical stress performance parameters of GIS equipment, and construct a local simulation geometric model of GIS equipment under working conditions;

[0010] Considering the coupling relationship between electromagnetic field, thermal flow field and stress field, the boundary conditions of electromagnetic field, temperature field and fluid field are set respectively, the local simulation geometric model is meshed, and the connection between multiple physical fields is established by combining the coupling relationship between multiple physical fields;

[0011] A preliminary simulation is performed to obtain the local simulation geometric model of the GIS equipment after deformation. The deformed GIS equipment is simulated again using the same boundary conditions to achieve bidirectional coupling of multiple physical fields among electromagnetic field, thermal flow field and stress field. Iterative coupling calculations are performed between multiple physical fields. For the parameters studied in each physical field, corresponding convergence constraints are formed by setting error parameters. The convergence constraints are met until the simulation conditions of each physical field are obtained, especially the electric field distribution after deformation under the actual working conditions of GIS.

[0012] According to some embodiments, the present disclosure adopts the following technical solutions:

[0013] A GIS equipment simulation system considering multi-physical field coupling, comprising:

[0014] The data acquisition module is used to obtain the electromagnetic, thermal flow and mechanical stress performance parameters of the GIS equipment and build a local simulation geometric model of the GIS equipment under working conditions;

[0015] The coupling relationship building module is used to consider the coupling relationship between the electromagnetic field, thermal flow field and stress field, set the boundary conditions of the electromagnetic field, temperature field and fluid field respectively, mesh the local simulation geometric model, and establish the connection between multiple physical fields by combining the coupling relationship between multiple physical fields;

[0016] The simulation module is used to perform preliminary simulation, obtain the local simulation geometric model of the GIS equipment after deformation, use the same boundary conditions to simulate the deformed GIS equipment again, and realize the bidirectional coupling of multiple physical fields among the electromagnetic field, thermal flow field and stress field; perform coupling iterative calculations between multiple physical fields, and form corresponding convergence constraints by setting error parameters for the parameters studied in each physical field; until the convergence constraints are met, the simulation conditions of each physical field are obtained, especially the electric field distribution after deformation under the actual working conditions of GIS.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] This paper calculates the electric field distribution of GIS equipment after deformation during actual operation. On the basis of fully considering various heat transfer modes, taking into account the nonlinear relationship between the electrical and mechanical parameters of the material and the temperature, and by setting the iterative method of error parameters, the deformation of GIS equipment under multi-field coupling and the electric field distribution after deformation are calculated. Compared with the method of directly calculating the electric field, a more realistic electric field distribution can be obtained.

[0019] The method proposed in the present invention is applicable to GIS equipment of various specifications under various voltage levels, and can obtain the electric field distribution after deformation under the actual working conditions of GIS under corresponding working conditions, providing a theoretical basis and data supplement for physical experiments, and specific portability. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings constituting a part of the present disclosure are used to provide a further understanding of the present disclosure. The illustrative embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation on the present disclosure.

[0021] Figure 1 A schematic diagram of a local simulation geometric model of a GIS device constructed for an embodiment of the present disclosure;

[0022] Figure 2 This is the electric field distribution diagram of the internal equipment of the GIS of the embodiment of the present disclosure before deformation;

[0023] Figure 3 This is a fluid velocity field distribution diagram before the internal equipment of the GIS of the embodiment of the present disclosure is deformed;

[0024] Figure 4 This is a temperature field distribution diagram of the internal equipment of the GIS in the embodiment of the present disclosure before deformation;

[0025] Figure 5 This is a first principal stress distribution diagram of the internal equipment of the GIS in the embodiment of the present disclosure before deformation;

[0026] Figure 6 This is a strain distribution diagram of the internal equipment of the GIS according to the embodiment of the present disclosure;

[0027] Figure 7 A flow chart of GIS equipment simulation considering multi-field coupling for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] The present disclosure is further described below in conjunction with the accompanying drawings and embodiments.

[0029] It should be noted that the following detailed descriptions are all illustrative and are intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present disclosure belongs.

[0030] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0031] Example 1

[0032] In one embodiment of the present disclosure, a GIS equipment simulation method considering multi-physical field coupling is provided, including:

[0033] Step 1: Obtain the electromagnetic, thermal flow and mechanical stress performance parameters of the GIS equipment, and construct a local simulation geometric model of the GIS equipment under working conditions;

[0034] Step 2: Consider the coupling relationship between the electromagnetic field, thermal flow field and stress field, set the boundary conditions of the electromagnetic field, temperature field and fluid field respectively, mesh the local simulation geometric model, and establish the connection between the multiple physical fields by combining the coupling relationship between the multiple physical fields;

[0035] Step 3: Perform preliminary simulation to obtain the local simulation geometric model of the GIS equipment after deformation. Use the same boundary conditions to simulate the deformed GIS equipment again to achieve bidirectional coupling of multiple physical fields among electromagnetic field, thermal flow field and stress field. Perform coupling iterative calculations among multiple physical fields, and form corresponding convergence constraints by setting error parameters for the parameters studied in each physical field. Until the convergence constraints are met, the simulation conditions of each physical field and the electric field distribution after deformation under the actual working conditions of GIS are obtained.

[0036] As an embodiment, the present disclosure proposes a GIS equipment simulation method considering the multi-physics field coupling of electromagnetic-heat flow-stress. This embodiment builds a multi-physics field coupling simulation platform of local components of 252kV GIS equipment based on the proposed method, and then carries out simulation calculation, including the following steps:

[0037] Step 1: Obtain the electromagnetic, heat flow, and mechanical stress performance parameters of various materials of GIS equipment, mainly including the temperature-dependent relationship of relative dielectric constant, resistivity, conductivity, density, thermal conductivity, constant-pressure heat capacity, Young's modulus, Poisson's ratio, thermal expansion coefficient and other performance parameters of conductors, inserts, housings, flanges, pot insulators, and sulfur hexafluoride.

[0038] The performance parameters of the materials of each part of the GIS equipment can be measured by the corresponding measurement methods to obtain the corresponding parameter values ​​under different material temperature conditions, and the polynomial fitting method can be used to obtain the expression of the parameter value changing with the temperature. By consulting relevant materials and on-site investigation, the temperature change range of the study is set to 0-80℃, which is the temperature change range corresponding to the above fitting expression.

[0039] The material parameter table obtained through experimental measurement and polynomial fitting is shown in Table 1. Where permitted by the experiment, the metal conductor, metal insert, metal shell, and metal flange are regarded as the same material, and only one of them needs to be measured to speed up the overall measurement speed.

[0040] Table 1 Measured material parameters

[0041]

[0042] Step 2: Construct a local simulation geometric model of the GIS equipment under working conditions, including: a central conductor, a metal flange, a metal casing, a metal insert, a basin insulator and the sulfur hexafluoride gas chambers on both sides thereof, input the performance parameters into the local simulation geometric model, and set the material properties.

[0043] like Figure 1 As shown in the figure, the model includes a pot-type insulator and its matching metal flange and metal insert, a central conductor connected to the metal insert, a metal shell connected to the metal flange to form a closed chamber, and sulfur hexafluoride insulating gas filling the entire closed chamber. It should be noted that the central conductor is not a solid cylinder but hollow, so the sulfur hexafluoride gas insulation exists not only between the conductor and the shell, but also in the hollow structure of the conductor. After clarifying the names of the various parts of the simulation geometry model, add the material parameters obtained in step 1 to the corresponding geometry structure to set the material properties.

[0044] Step 3: Set the boundary conditions of the electromagnetic field. Apply the rated power frequency voltage and current to the center conductor and insert, and set the metal shell to the grounded state.

[0045] Power systems with voltage levels of 110kV and above generally use a neutral point direct grounding method. The rated voltage of the selected pot-type insulator is 252kV, so a voltage of 206kV is applied to the center conductor. According to the model of the manufacturer's equipment, a rated current of 4000A is passed through the center conductor, and the current direction is from the high-voltage side to the low-voltage side. The frequency of the applied voltage and the current passed is 50Hz. Based on the on-site operation situation, the state of the metal shell is set to the grounding state.

[0046] Step 4: Set the boundary conditions of the temperature field. Take the rated power frequency current applied in the electromagnetic field boundary conditions as the direct heat source of the temperature field, consider the heat conduction between the metal conductor, metal insert, pot insulator, sulfur hexafluoride gas and the metal casing, consider the heat convection between the metal casing and the external environment and set the corresponding parameters, consider the thermal radiation of the metal conductor, metal casing and pot insulator and set the corresponding surface emissivity. Assume that the temperature of the external environment remains unchanged and is set to 20°C; for the convenience of setting without affecting the final result, assume that the initial value temperature of the entire GIS equipment is the same and is set to 20°C. The source of heat inside the GIS equipment is the applied voltage and the current passed, so the rated power frequency current applied in step 3 is taken as the direct heat source of the temperature field.

[0047] There are three basic ways of heat transfer: heat conduction, heat convection, and heat radiation. First, consider the heat conduction between the metal conductor, metal insert, pot insulator, sulfur hexafluoride gas, and metal shell. This method has been automatically set in the simulation without additional operation.

[0048] Secondly, considering the heat convection between the metal shell and the external environment, you can use the "user-defined" method or the "external natural convection" method built into the software; if you choose the former, you only need to set the convection heat flux heat transfer coefficient of the metal shell to the outside; if you choose the latter, you need to set the external environment temperature and pressure; this embodiment chooses the latter (set the external environment temperature to 20°C and the external environment pressure to 0.1MPa);

[0049] Finally, considering the thermal radiation of the metal conductor, metal shell, and pot-type insulator, the "Surface to Surface Radiation" interface is used in this embodiment to set the relevant parameters. The surface emissivity of the metal conductor and metal shell is set to 0.15, and the surface emissivity of the pot-type insulator is set to 0.85.

[0050] Step 5: Set the boundary conditions of the fluid field. Assume that the initial state of the sulfur hexafluoride insulating gas is static and uniformly distributed, apply the working pressure in the sulfur hexafluoride insulating gas chamber, and keep the external air at an atmospheric pressure; consider the influence of gravity, and set the direction of gravity and the magnitude of gravity acceleration according to the actual position of a chamber of the GIS equipment.

[0051] Without affecting the final result, for the convenience of setting, it is assumed that the initial state of the sulfur hexafluoride insulating gas is static and evenly distributed. Based on the on-site operation, a constant working pressure of 0.5MPa is applied in the sulfur hexafluoride insulating gas chamber. For the air outside the location of the GIS equipment, its pressure is set to a standard atmospheric pressure (0.1MPa); considering the influence of gravity factors, based on the actual location of the GIS equipment, such as Figure 1As shown, the direction of gravity is set and the magnitude of gravity acceleration is set to 9.8m / s2.

[0052] Step 6: Set the boundary conditions of the stress field. The working pressure of the sulfur hexafluoride insulating gas set based on the fluid field boundary conditions applies boundary loads to the concave and convex surfaces of the basin insulator, the center conductor, and the inside of the metal shell. An atmospheric pressure boundary load is applied to the outside of the metal shell. Constraints are applied to the metal flanges and metal inserts according to the actual production and installation conditions.

[0053] Based on the on-site operation conditions, the operating pressure in the sulfur hexafluoride insulating gas chamber is set to 0.5MPa. Based on the above situation, the corresponding boundary loads, i.e., a pressure of 0.5MPa, are applied to the concave and convex surfaces of the pot insulator, the center conductor and the inner side of the metal shell. For the outside of the metal shell, a boundary load of standard atmospheric pressure (0.1MPa) is applied. According to the actual production and installation conditions, fixed constraints are applied to the metal flange, and fixed constraints are applied to the connection between the metal insert and the center conductor. The friction coefficient of the surface where the pot insulator contacts the metal shell is set to 0.8, and the friction coefficient of the connection between the metal insert and the pot insulator is set to 0.3.

[0054] Step 7: Divide the grid of the local simulation geometric model of the GIS equipment constructed in step 1. In order to speed up the multi-physics field coupling simulation process and obtain more accurate simulation results for the key research parts, the principle of "rougher processing of non-key research areas and more refined processing of key research areas" is adopted. The area where the sulfur hexafluoride insulating gas is located is "coarsened", the area where the metal shell, metal conductor, metal insert and metal flange are located is "relatively refined", the area where the metal shell and metal conductor are located is "sweeped", the area where the basin insulator is located is "ultra-refined", the area with larger curvature in the equipment geometric structure is "angularly refined", and the surface of the metal shell, metal conductor, metal insert, metal flange and basin insulator is processed more finely by setting a boundary layer.

[0055] Step 8: Call the multi-physics module in the simulation software, combine the coupling relationship between the multi-physics fields, and use different coupling interfaces to establish the connection between the multi-physics fields. Specifically, use the "electromagnetic heat" interface to couple the electromagnetic field with the temperature field, use the "non-isothermal flow" interface to couple the temperature field with the fluid field, use the "thermal expansion" interface to couple the stress field with the thermal flow field, and use the "surface-to-surface radiation heat transfer" interface to consider the influence of thermal radiation.

[0056] Step 9: Perform simulation calculations. Apply the rated current under working conditions to the GIS equipment. Based on the various heat transfer modes (heat convection, heat conduction and heat radiation) contained in the GIS equipment, consider the influence of gravity on the insulating gas and the influence of the boundary load of the GIS equipment on the pot insulator, conductor, shell and insert, and obtain the distribution of key research parameters in various physical locations before the GIS equipment is deformed.

[0057] Through the settings of steps 2 to 8 above, the multi-physics field coupling simulation platform of local components of 252kV GIS equipment has been built. Preliminary simulation calculations are now carried out and a series of simulation results have been obtained. Figure 2 The electric field distribution diagram of the GIS internal equipment of this embodiment before deformation is shown. Figure 3 What is shown is the fluid velocity field distribution diagram of the GIS internal equipment of this embodiment before deformation. Figure 4 The temperature field distribution diagram of the GIS internal equipment of this embodiment before deformation is shown. Figure 5 What is shown is the first principal stress distribution diagram of the internal equipment of the GIS of this embodiment before deformation. Figure 6 Shown is the strain distribution diagram of the internal equipment of the GIS of this embodiment.

[0058] Step 10: Based on the simulation results of step 9, obtain the geometric model of the GIS equipment after deformation as the new geometric model after deformation. Specifically, in the structural analysis, check the Include geometric nonlinearity checkbox in the research step setting window to allow the software to automatically split the material coordinate system and the space coordinate system. Then, in the meshing column of the model builder, use the re-meshing command for the deformed configuration to obtain the deformed geometry. Finally, the deformed network can be exported as a geometric object or the deformed configuration can be used in the same model file. Based on the new deformed geometric model, the same material properties and physical field boundary conditions are used to simulate the deformed GIS equipment again. The specific operation process is shown in steps 2 to 9, thereby realizing the multi-physics bidirectional coupling between the electromagnetic field, thermal flow field and stress field.

[0059] Among them, the meaning of bidirectional coupling is explained as follows:

[0060] The bidirectional coupling between A and B means that changes in the state of A will affect the state of B, and at the same time, changes in the state of B will also affect the state of A. The bidirectional coupling takes into account the interaction and mutual influence between the two, and thus obtains operations that can better reflect the actual state.

[0061] Step 11: Perform iterative calculations to obtain a more accurate distribution of multi-physical fields, and then obtain the electric field distribution after deformation under the actual working conditions of GIS. Figure 7As shown in the figure, the simulation flow chart of the GIS equipment considering multi-field coupling in this embodiment is shown. Assume that the temperature of each finite element unit is T, the electric field strength is E, the fluid velocity is V, the deformation is S, and the number of simulation iterations is n, so n is 0 when the simulation calculation is performed for the first time. After the first simulation calculation is completed, the geometric structure of the simulation model is updated, and the second simulation calculation is performed immediately, and the number of iterations n becomes 1. After completing the subsequent corresponding simulation calculations, that is, when n≥1, it is necessary to compare with the previous simulation results, and the constraint condition is formula (1).

[0062]

[0063] Where n is the number of iterations, T n 、E n 、V n , S n is the value after the nth iteration, T n-1 、E n-1 、V n-1 , S n-1 is the value after the n-1th iteration, ε T , ε E , ε V , ε S is the error parameter set for the corresponding physical field. If the constraint conditions of formula (1) are met, the simulation results of each physical field after the nth iteration are output, and the electric field distribution after deformation under the actual working condition of GIS is obtained; if the constraint conditions of formula (1) are not met, the new number of iterations is set to n = n + 1, and then the relevant operations in steps 9 and 10 are repeated for a new round of iterative calculation.

[0064] Example 2

[0065] In one embodiment of the present disclosure, a GIS equipment simulation system considering multi-physical field coupling is provided, which specifically performs all steps of the method described in Embodiment 1, including:

[0066] The data acquisition module is used to obtain the electromagnetic, thermal flow and mechanical stress performance parameters of the GIS equipment and build a local simulation geometric model of the GIS equipment under working conditions;

[0067] The coupling relationship building module is used to consider the coupling relationship between the electromagnetic field, thermal flow field and stress field, set the boundary conditions of the electromagnetic field, temperature field and fluid field respectively, mesh the local simulation geometric model, and establish the connection between multiple physical fields by combining the coupling relationship between multiple physical fields;

[0068] The simulation module is used to perform preliminary simulation, obtain the local simulation geometric model of the GIS equipment after deformation, use the same boundary conditions to simulate the deformed GIS equipment again, and realize the bidirectional coupling of multiple physical fields among the electromagnetic field, thermal flow field and stress field; perform coupling iterative calculations between multiple physical fields, and form corresponding convergence constraints by setting error parameters for the parameters studied in each physical field; until the convergence constraints are met, the simulation conditions of each physical field and the electric field distribution after deformation under the actual working conditions of GIS are obtained.

[0069] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0070] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0071] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Technical personnel in the relevant field should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.

Claims

1. A GIS equipment simulation method considering multi-physical field coupling, characterized in that: include: Obtain electromagnetic, thermal flow and mechanical stress performance parameters of GIS equipment, and construct a local simulation geometric model of GIS equipment under working conditions; Considering the coupling relationship between electromagnetic field, thermal flow field and stress field, the boundary conditions of electromagnetic field, temperature field, fluid field and stress field are set respectively, the local simulation geometric model is meshed, and the connection between multiple physical fields is established by combining the coupling relationship between multiple physical fields; A preliminary simulation is performed to obtain the local simulation geometric model of the GIS equipment after deformation. The deformed GIS equipment is simulated again using the same boundary conditions to achieve bidirectional coupling of multiple physical fields among electromagnetic field, thermal flow field and stress field. Iterative coupling calculations are performed between multiple physical fields. For the parameters studied in each physical field, corresponding convergence constraints are formed by setting error parameters. The convergence constraints are met until the simulation conditions of each physical field are obtained, especially the electric field distribution after deformation under the actual working conditions of GIS.

2. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: Electromagnetic, heat flow, and mechanical stress performance parameters include: dielectric constant, resistivity, conductivity, density, thermal conductivity, constant pressure heat capacity, Young's modulus, Poisson's ratio, and the relationship between the thermal expansion coefficient and temperature.

3. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: The local simulation geometric model includes: a central conductor, a metal flange, a metal shell, a metal insert, a pot-type insulator and sulfur hexafluoride gas chambers on both sides thereof. The performance parameters are input into the local simulation geometric model to set material properties.

4. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: The boundary conditions of the electromagnetic field are as follows: the rated power frequency voltage is applied to the center conductor and the insert, the rated power frequency current is passed, and the metal shell is set to a grounded state; the boundary conditions of the temperature field are as follows: the rated power frequency current applied in the electromagnetic field boundary conditions is used as the direct heat source of the temperature field, the heat conduction between the metal conductor, metal insert, pot insulator, sulfur hexafluoride gas and the metal shell is considered, the heat convection between the metal shell and the external environment is considered and the corresponding parameters are set, the thermal radiation of the metal conductor, metal shell and pot insulator is considered and the corresponding surface emissivity is set.

5. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: The boundary conditions of the stress field are as follows: the working pressure of the sulfur hexafluoride insulating gas set based on the fluid field boundary conditions applies boundary loads to the concave and convex surfaces, the center conductor and the inner side of the metal shell of the pot insulator, and an atmospheric pressure boundary load is applied to the outer side of the metal shell. Constraints are imposed on the metal flanges and metal inserts according to the actual production and installation conditions.

6. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: Call the multi-physics module in the simulation software, combine the coupling relationship between the multi-physics fields, and use different coupling interfaces to establish the connection between the multi-physics fields, including: using the electromagnetic thermal interface to couple the electromagnetic field with the temperature field, using the non-isothermal flow interface to couple the temperature field with the fluid field, using the thermal expansion interface to couple the stress field with the thermal flow field, and using the surface-to-surface radiation heat transfer interface to consider the influence of thermal radiation.

7. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 1, characterized in that: A preliminary simulation calculation was carried out, and the rated current under the working conditions was applied to the GIS equipment. Based on the various heat transfer modes of the GIS equipment, including heat convection, heat conduction and heat radiation, the influence of gravity on the insulating gas and the influence of the boundary load of the GIS equipment on the pot insulator, conductor, casing and insert were considered to obtain the distribution of various physical field research parameters of the GIS equipment before deformation.

8. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 7, characterized in that: Based on the distribution of various physical field research parameters of the GIS equipment before deformation, the local simulation geometric model of the GIS equipment after deformation is obtained. As the new local simulation geometric model after deformation, the deformed GIS equipment is simulated again using the same boundary conditions to achieve multi-physical field bidirectional coupling among electromagnetic field, thermal flow field and stress field.

9. A GIS equipment simulation method considering multi-physical field coupling as claimed in claim 7, characterized in that: Heat transfer methods include: heat conduction, heat convection and heat radiation.

10. A GIS equipment simulation system considering multi-physical field coupling, characterized in that: include: The data acquisition module is used to obtain the electromagnetic, thermal flow and mechanical stress performance parameters of the GIS equipment and build a local simulation geometric model of the GIS equipment under working conditions; The coupling relationship building module is used to consider the coupling relationship between the electromagnetic field, thermal flow field and stress field, set the boundary conditions of the electromagnetic field, temperature field and fluid field respectively, mesh the local simulation geometric model, and establish the connection between multiple physical fields by combining the coupling relationship between multiple physical fields; The simulation module is used to perform preliminary simulation, obtain the local simulation geometric model of the GIS equipment after deformation, use the same boundary conditions to simulate the deformed GIS equipment again, and realize the bidirectional coupling of multiple physical fields among the electromagnetic field, thermal flow field and stress field; perform coupling iterative calculations between multiple physical fields, and form corresponding convergence constraints by setting error parameters for the parameters studied in each physical field; until the convergence constraints are met, the simulation conditions of each physical field are obtained, especially the electric field distribution after deformation under the actual working conditions of GIS.

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