A simulation method and system for induced voltage in the housing of a GIS disconnect switch

Abstract

This invention discloses a method and system for simulating the induced voltage of a GIS disconnect switch housing, relating to the field of power equipment and electromagnetic field simulation technology. The method includes: establishing a simulation model of the induced voltage of the GIS disconnect switch housing; performing network partitioning on the simulation model; setting boundaries and applying excitation; solving for the magnetic field strength distribution; constructing an equivalent circuit and calculating the induced voltage of the housing; and setting an early warning model to provide an equivalent early warning of the induced voltage. By establishing an accurate simulation model of the induced voltage of the GIS disconnect switch housing, combined with quantitative analysis of the electromagnetic field and equivalent circuit calculation, it is possible not only to accurately predict the changes in the induced voltage of the GIS disconnect switch under high-voltage environments, but also to dynamically evaluate the induced voltage through real-time monitoring and an early warning model. This achieves early warning of equipment status and effectively prevents equipment failures or safety hazards caused by excessive induced voltage.

Description

Technical Field

[0001] This invention relates to the field of power equipment and electromagnetic field simulation technology, specifically to a method and system for simulating induced voltage in the housing of a GIS disconnect switch. Background Technology

[0002] In recent years, gas-insulated switchgear (GIS) has been widely used in power systems. GIS is a key piece of equipment in high-voltage power grid construction. It encapsulates busbars, circuit breakers, disconnectors, grounding switches, surge arresters, voltage and current transformers, and other devices within a metal aluminum casing, filled with sulfur hexafluoride gas, which has excellent insulation and arc-extinguishing capabilities. This significantly improves power supply capacity and alleviates the problem of high-voltage equipment being easily damaged.

[0003] Since the casing of a GIS (Gas Insulation System) is grounded, ideally, the casing should maintain ground potential. However, in reality, there is electromagnetic coupling between the busbar and the metal casing. When current flows through the busbar, an induced electromotive force is generated on the metal casing, causing it to no longer maintain ground potential but instead experience a significant voltage rise. If a maximum short circuit occurs outside the substation, a powerful short-circuit current will flow through the busbar, making the induced voltage on the casing even more significant and potentially posing a threat to personal safety. Therefore, it is necessary to conduct a systematic study of the induced voltage on the casing to provide theoretical basis and reference for GIS production and operation departments, thereby improving the reliability of the power system and ensuring its safe operation. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by this invention is: to address the problem of induced voltage in the casing of GIS disconnect switches due to electromagnetic field induction in high-voltage environments, a comprehensive solution based on electromagnetic field simulation and early warning model is proposed. This solution can assess the risk of induced voltage in the casing through accurate electromagnetic field analysis and voltage simulation calculation, and provide level-based early warning based on real-time measurement data and prediction results, thereby effectively preventing equipment failures or safety hazards caused by excessive induced voltage.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a method for simulating the induced voltage of a GIS disconnect switch housing, comprising the following steps,

[0007] Establish a simulation model of the induced voltage in the shell of the GIS disconnect switch; perform network partitioning on the simulation model of the induced voltage in the shell of the GIS disconnect switch; set the boundary and apply excitation; solve the magnetic field intensity distribution; construct an equivalent circuit and calculate the induced voltage in the shell; set an early warning model to provide an equivalent early warning of the induced voltage in the shell.

[0008] In a preferred embodiment of the GIS disconnector switch housing induced voltage simulation method described in this invention, the contact resistance and thermal conductivity in the GIS disconnector switch housing induced voltage simulation model are expressed as follows:

[0009]

[0010] Where ρ represents resistivity, L represents Lorentz constant, and T represents thermodynamic temperature.

[0011] The electromagnetic field is analyzed using Maxwell's equations in the simulation model of the induced voltage of the GIS disconnect switch housing.

[0012] In a preferred embodiment of the GIS disconnector housing induced voltage simulation method described in this invention, the Maxwell's equations are expressed as follows:

[0013]

[0014] Where H represents magnetic field strength, J represents current density, D represents electric flux density, B represents electric field strength, B represents magnetic flux, E represents electric field strength, and ρ represents magnetic flux density. e This represents charge density.

[0015] The magnetic field strength is expressed as,

[0016]

[0017] The electric field strength is expressed as,

[0018]

[0019] Where A represents the vector magnetic potential, This represents a scalar potential.

[0020] As a preferred embodiment of the GIS disconnector switch housing induced voltage simulation method described in this invention, the electromagnetic field is expressed as follows:

[0021]

[0022] Where Ω1 represents the vortex region and Ω2 represents the non-vortex region.

[0023] As a preferred embodiment of the GIS disconnector housing induced voltage simulation method described in this invention, the following steps are taken: before mesh division, the mesh size of each part is analyzed and set; after mesh division, boundary conditions and loading excitation are set.

[0024] The boundary condition is to set parallel magnetic field lines on the six faces of the cuboid air bag.

[0025] As a preferred embodiment of the GIS disconnector housing induced voltage simulation method described in this invention, the boundary conditions include Dirichlet boundary conditions, Neumann boundary conditions, and mixed boundary conditions.

[0026] The Dirichlet boundary condition is expressed as follows:

[0027]

[0028] Where Γ1 represents the first type of boundary line or surface, and f1(x, y, z) represents a known function.

[0029] The Neumann boundary condition is expressed as follows:

[0030]

[0031] Where Γ2 represents the second type of boundary line or surface, n represents the external normal vector on the boundary, and f2(x, y, z) represents a known function.

[0032] The hybrid boundary condition is expressed as follows:

[0033]

[0034] Where Γ3 represents the third type of boundary line or surface, and f3(x, y, z) represents a known function.

[0035] The loading excitation is to apply a rated current of 3150A to the three-phase conductors ABC, with each phase lagging by 120° and the frequency being the rated frequency of 50Hz. A node voltage coupling is set at one end of the conductor, and the other end is set to the reference voltage zero potential.

[0036] As a preferred embodiment of the GIS disconnector housing induced voltage simulation method described in this invention, the setting of the early warning model includes: assuming the set of detected induced voltages is D, the real-time measured induced voltage value is X, the predicted value distribution is Y, and the probability distribution is derived, expressed as follows:

[0037]

[0038] Where P(Y|X,W) represents the probability distribution of output Y given weight W and input X. The weight distribution p(W|D) is modeled based solely on the set D of detected induced voltages. Then, using the Monte Carlo method, m induced voltage samples following the p(W|D) distribution are sampled, and the distribution is calculated. This gives us p(Y|X).

[0039] Based on the early warning model, a risk level warning is issued for the induced voltage of the casing. A reconstruction error threshold T is set, and samples are divided into different risk levels according to the reconstruction error. Let the risk level be N. i , is represented as ,

[0040]

[0041] Among them, T low T represents the minimum reconstruction error threshold. high This indicates the highest reconstruction error threshold.

[0042] Another objective of this invention is to provide a simulation system for induced voltage in the housing of a GIS disconnector switch. This system can calculate the induced voltage in the housing by establishing an accurate electromagnetic field simulation model, performing network partitioning and applying excitation, and combining it with an early warning model to monitor the voltage in real time and assess the risk. This solves the problems in the prior art where the induced voltage in the housing of a GIS disconnector switch cannot be accurately predicted and monitored in real time, and where there is a lack of an effective early warning mechanism.

[0043] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a simulation system for induced voltage of GIS disconnect switch housing, including a simulation model establishment module, a network partitioning module, an electromagnetic field calculation module, an equivalent circuit construction module, and an early warning model setting module.

[0044] The simulation model building module is used to build a simulation model of the induced voltage in the housing of the GIS disconnect switch.

[0045] The network partitioning module partitions the simulation model into a network, sets boundaries and excitation conditions, and performs numerical solutions.

[0046] The electromagnetic field calculation module solves for the distribution of magnetic field strength and electric field strength.

[0047] The equivalent circuit construction module constructs an equivalent circuit based on the electromagnetic field results and calculates the induced voltage of the shell.

[0048] The early warning model setting module sets up an early warning model, including the monitoring and prediction of induced voltage and probability distribution sampling based on the Monte Carlo method.

[0049] A computer device includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement the steps of the GIS disconnect switch housing induced voltage simulation method as described above.

[0050] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the GIS disconnect switch housing induced voltage simulation method as described above.

[0051] The beneficial effects of this invention are as follows: By establishing an accurate simulation model of the induced voltage of the GIS disconnector casing, combined with quantitative analysis of the electromagnetic field and equivalent circuit calculation, it is possible not only to accurately predict the changes in induced voltage of the GIS disconnector under high voltage environment, but also to dynamically evaluate the induced voltage through a real-time monitoring and early warning model, thereby realizing early warning of equipment status, effectively preventing equipment failures or safety hazards caused by excessive induced voltage, thus improving the safety and reliability of power equipment and reducing maintenance and accident handling costs. Attached Figure Description

[0052] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0053] Figure 1 The following is an overall flowchart of a simulation method for induced voltage in the housing of a GIS disconnector provided in the first embodiment of the present invention.

[0054] Figure 2 The magnetic field strength distribution diagram of the outer shell in a simulation method for induced voltage of a GIS disconnect switch shell provided in the first embodiment of the present invention.

[0055] Figure 3 The magnetic field strength distribution diagram of the conductor in a simulation method for induced voltage of a GIS disconnect switch housing provided in the first embodiment of the present invention.

[0056] Figure 4 The first embodiment of the present invention provides a conductor current density distribution diagram in a simulation method for induced voltage of a GIS disconnect switch housing.

[0057] Figure 5 The diagram shows the current density distribution of the casing in a simulation method for induced voltage of a GIS disconnect switch casing provided in the first embodiment of the present invention.

[0058] Figure 6 The following is an overall framework diagram of a GIS disconnect switch housing induced voltage simulation system provided for the second embodiment of the present invention. Detailed Implementation

[0059] To make the above-mentioned objects, features, and advantages of the present invention more apparent and understandable, specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the protection scope of the present invention.

[0060] Example 1, referring to Figures 1-5 As an embodiment of the present invention, a method for simulating the induced voltage of a GIS disconnect switch housing is provided, characterized in that:

[0061] S1: Establish a simulation model of the induced voltage in the housing of the GIS disconnect switch.

[0062] In the simulation model of the induced voltage of the GIS disconnector housing, the contact resistance and thermal conductivity are expressed as follows:

[0063]

[0064] Where ρ represents resistivity, L represents Lorentz constant, and T represents thermodynamic temperature.

[0065] In establishing a simulation model of the induced voltage in the casing of a GIS disconnect switch, the electromagnetic field is analyzed using Maxwell's equations.

[0066] Maxwell's equations are expressed as follows:

[0067]

[0068] Where H represents magnetic field strength, J represents current density, D represents electric flux density, B represents electric field strength, B represents magnetic flux, E represents electric field strength, and ρ represents magnetic flux density. e Indicates charge density;

[0069] When solving electromagnetic field problems, H and E cannot be directly calculated; vector magnetic potential A and scalar potential must be used. To calculate.

[0070] Magnetic field strength is expressed as,

[0071]

[0072] The electric field strength is expressed as,

[0073]

[0074] Where A represents the vector magnetic potential, This represents a scalar potential.

[0075] The boundary value description of the electromagnetic field is expressed as follows:

[0076]

[0077]

[0078] Where Ω1 represents the vortex region and Ω2 represents the non-vortex region.

[0079] The skin effect of current refers to the phenomenon where, when alternating current or an alternating magnetic field passes through a conductor, the current is no longer uniformly distributed but concentrated on the conductor's surface. The proximity effect of current refers to the phenomenon where alternating currents tend to move closer to adjacent conductors, resulting in uneven distribution. In the electromagnetic field simulation calculation of GIS disconnect switches, both the skin effect and the proximity effect need to be considered. These two phenomena have the following impacts on the electromagnetic field simulation calculation of GIS disconnect switches: To consider the skin depth caused by the skin effect, it is essential to ensure that there are sufficient mesh nodes within the skin depth; that is, the maximum cell size of the mesh must be smaller than the skin depth. This ensures that the simulation calculation takes into account the additional losses caused by the skin effect, thereby reducing calculation errors.

[0080] The formula for calculating skin depth is:

[0081]

[0082] In the formula, d is the skin depth in meters (m), ω is the current frequency in Hz, μ is the permeability of the material in H / m, and γ is the electrical conductivity of the material in S / m.

[0083] S2: Perform network partitioning on the simulation model of induced voltage in the housing of the GIS disconnect switch.

[0084] Before partitioning the GIS disconnector model, the mesh size of each part is analyzed and set. Structures with minimal impact on simulation results, such as the housing, cover plate, flange, insulating disc, air chamber, and SF6 internal cavity, should have their mesh size appropriately increased. Structures with a significant impact on simulation results, such as conductors, contacts, contact fingers, and contact resistance, should have their mesh size appropriately decreased. Furthermore, for metal structures such as the housing, conductors, and contacts, the skin effect and proximity effect must be considered. According to the formula, the skin depth of the housing and conductor is approximately 15mm, and the skin depth of the moving contact is approximately 10mm. For the housing, the thickness is 12mm, which is less than its skin depth; therefore, the skin effect is not significant and can be disregarded. For the conductor, the diameter is 80mm, and the skin depth needs to be considered when setting the unit size; it is set to 8mm. For the moving contact, the diameter is 52mm, and the skin depth also needs to be considered when setting the unit size; it is set to 5mm.

[0085] Before mesh generation, analyze and set the mesh size for each part. After mesh generation, set the boundary conditions and apply the stimulus.

[0086] S3: Set the boundary and load the stimulus.

[0087] The boundary condition is to set parallel magnetic field lines on the six faces of the cuboid air bag.

[0088] Boundary conditions include Dirichlet boundary conditions, Neumann boundary conditions, and mixed boundary conditions.

[0089] Dirichlet boundary conditions are expressed as follows:

[0090]

[0091] Where Γ1 represents the first type of boundary line or surface, and f1(x, y, z) represents a known function.

[0092] Neumann boundary conditions are expressed as follows:

[0093]

[0094] Where Γ2 represents the second type of boundary line or surface, n represents the external normal vector on the boundary, and f2(x, y, z) represents a known function.

[0095] Mixed boundary conditions are expressed as follows:

[0096]

[0097] Where Γ3 represents the third type of boundary line or surface, and f3(x, y, z) represents a known function.

[0098] The loading excitation is a current excitation of 3150A rated current applied to the three-phase conductors ABC, with each phase lagging by 120° and the frequency being the rated frequency of 50Hz. A node voltage coupling is set at one end of the conductor, and the other end is set to the reference voltage zero potential.

[0099] S4: Solve for the magnetic field strength distribution.

[0100] After meshing, applying excitation, and setting boundaries for the GIS disconnector model, the simulation results are as follows: Figure 2 , Figure 3 , Figure 4 as well as Figure 5 As shown.

[0101] from Figure 2The magnetic field strength distribution diagram of the outer shell shows that the magnetic field strength is relatively high in the region near the conductor, and also on the upper and lower surfaces of the outer shell. This is because the magnetic induction effect is more pronounced closer to the conductor, resulting in higher magnetic field strength in these regions. Specifically, the magnetic field strength is higher on the upper surface of the outer shell near conductor A and on the lower surface of the outer shell near conductor C. Figure 2 (a) is an overall diagram of the magnetic field intensity distribution in the outer shell. Figure 2 (b) is a top view of the magnetic field intensity distribution in the outer shell.

[0102] from Figure 3 The conclusion drawn from the magnetic field intensity distribution of the conductors is that the magnetic field intensity distribution of the three-phase conductors is not uniform; the overall magnetic field intensity of phases A and C is greater than that of phase B. There are two reasons for this non-uniform distribution: first, the spatial arrangement of the three-phase conductors is not entirely the same; second, the skin effect and proximity effect affect the current distribution, leading to a non-uniform induced magnetic field distribution. Figure 3 (a) is a diagram showing the overall distribution of the magnetic field intensity in the conductor. Figure 3 (b) is a left view of the magnetic field intensity distribution of the conductor.

[0103] like Figure 4 The conductor current density distribution diagram shows that the surface current density of the three-phase conductor is relatively high, with the highest current density occurring around the contact resistance. After alternating current is applied to the three-phase conductor, due to the skin effect and proximity effect, most of the charge concentrates on the conductor surface, resulting in a higher current density at the surface. When current flows through the contact resistance, the conductive path suddenly and drastically decreases, causing a sudden increase in current density in the contact resistance area. Figure 5 The distribution of current density and magnetic field strength in the outer shell are related. The current density is higher in the region near the conductor because the electromagnetic induction effect is strongest in this region.

[0104] S5: Construct the equivalent circuit and calculate the induced voltage in the casing.

[0105] An equivalent circuit is constructed to calculate the induced voltage on the casing. Using the Simulink module in Matlab, the induced electromotive force (EMF) generated on the casing under normal conditions is calculated based on relevant component parameters. This EMF is then input into the EMTP model to obtain the induced voltage. Similarly, using Matlab programming, the induced EMF generated on the casing under short-circuit steady-state conditions is calculated based on relevant component parameters. This EMF is then input into the EMTP model to obtain the induced voltage. To simplify the model and improve the accuracy of the calculation, this paper uses Matlab programming, combined with the component parameters mentioned above, to calculate the induced EMF on the casing under normal and short-circuit steady-state conditions. This calculated EMF is then input into the EMTP model, and finally, the induced voltage on the casing is obtained.

[0106] An induced voltage sensor is installed on the housing to collect the induced voltage data. The collected data is then transmitted to a data server, which performs data analysis on the transmitted data.

[0107] S6: Set up an early warning model to provide an equivalent early warning for the induced voltage on the casing.

[0108] Setting up the early warning model involves, assuming the set of detected induced voltages is D, the real-time measured induced voltage values ​​are X, the predicted value distribution is Y, and the probability distribution is derived, represented as follows:

[0109]

[0110] Where P(Y|X,W) represents the probability distribution of output Y given weight W and input X. The weight distribution p(W|D) is modeled based solely on the set D of detected induced voltages. Then, using the Monte Carlo method, m induced voltage samples following the p(W|D) distribution are sampled, and the distribution is calculated. This gives us p(Y|X).

[0111] Based on the early warning model, a risk level warning is issued for the induced voltage of the casing. A reconstruction error threshold T is set, and samples are divided into different risk levels according to the reconstruction error. Let the risk level be N. i , is represented as ,

[0112]

[0113] Among them, T low T represents the minimum reconstruction error threshold. high This indicates the highest reconstruction error threshold.

[0114] By first simulating the magnetic field distribution and current density of the disconnector switch housing and conductors, it was found that induced voltage can have a certain impact on personal safety. Then, by calculating and predicting the induced voltage in Simulink, the safety problem of the disconnector switch housing caused by induced voltage was largely solved.

[0115] Example 2, refer to Figure 6 As an embodiment of the present invention, a system for simulating the induced voltage of a GIS disconnect switch housing is provided, characterized in that it includes a simulation model establishment module 100, a network partitioning module 200, an electromagnetic field calculation module 300, an equivalent circuit construction module 400, and an early warning model setting module 500.

[0116] The simulation model building module 100 is used to build a simulation model of the induced voltage in the housing of the GIS disconnect switch.

[0117] The network partitioning module 200 partitions the simulation model into a network, sets boundary and excitation conditions, and performs numerical solutions.

[0118] The electromagnetic field calculation module 300 solves for the distribution of magnetic field strength and electric field strength.

[0119] The equivalent circuit construction module 400 constructs an equivalent circuit based on the electromagnetic field results and calculates the induced voltage in the shell.

[0120] The early warning model setting module 500 sets up the early warning model, including the monitoring and prediction of induced voltage and probability distribution sampling based on the Monte Carlo method.

[0121] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0122] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0123] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0124] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0125] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for simulating the induced voltage of a GIS disconnect switch housing, characterized in that, include: Establish a simulation model of the induced voltage in the casing of a GIS disconnect switch; Network partitioning is performed on the simulation model of induced voltage in the housing of a GIS disconnect switch. Set the boundaries and load the stimulus; Solve for the magnetic field strength distribution; Construct an equivalent circuit and calculate the induced voltage in the casing; Set up an early warning model to provide an equivalent early warning for the induced voltage on the casing; In the simulation model of the induced voltage of the GIS disconnect switch housing, the contact resistance thermal conductivity is expressed as: Where ρ represents resistivity, L represents Lorentz constant, and T represents thermodynamic temperature; The electromagnetic field was analyzed using Maxwell's equations in the simulation model of the induced voltage of the GIS disconnect switch housing. The Maxwell's equations are expressed as follows: Where H represents magnetic field strength, J represents current density, Z represents electric flux density, B represents magnetic induction intensity, E represents electric field strength, and ρ e Indicates charge density; The magnetic flux density is expressed as, The electric field strength is expressed as, Where A represents the vector magnetic potential, Represents a scalar potential; The boundary value description of the electromagnetic field is expressed as follows: Wherein, Ω1 represents the vortex region and Ω2 represents the non-vortex region; Before mesh generation, the mesh size of each part is analyzed and set. After mesh generation, boundary conditions and loading stimuli are set. The boundary condition is to set parallel magnetic field lines on the six faces of the cuboid air bag.

2. The method for simulating the induced voltage of a GIS disconnect switch housing as described in claim 1, characterized in that: The boundary conditions include Dirichlet boundary conditions, Neumann boundary conditions, and mixed boundary conditions; The Dirichlet boundary condition is expressed as follows: Where Γ1 represents the first kind of boundary line or surface, and f1(x, y, z) represents a known function; The Neumann boundary condition is expressed as follows: Where Γ2 represents the second type of boundary line or surface, n represents the external normal vector on the boundary, and f2(x, y, z) represents the known function; The hybrid boundary condition is expressed as follows: Where Γ3 represents the third type of boundary line or surface, and f3(x, y, z) represents a known function; The loading excitation is to apply a rated current of 3150A to the three-phase conductors ABC, with each phase lagging by 120° and the frequency being the rated frequency of 50Hz. A node voltage coupling is set at one end of the conductor, and the other end is set to the reference voltage zero potential.

3. The method for simulating the induced voltage of a GIS disconnect switch housing as described in claim 2, characterized in that: The aforementioned early warning model includes, assuming the set of detected induced voltages is D, the real-time measured induced voltage value is X, the predicted value distribution is Y, and the probability distribution is derived, expressed as follows: Where P(Y|X,W) represents the probability distribution of output Y given weight W and input X. The weight distribution p(W|D) is modeled based solely on the set D of detected induced voltages. Then, using the Monte Carlo method, m induced voltage samples following the p(W|D) distribution are sampled, and the distribution is calculated. p(Y|X) can then be obtained; Based on the early warning model, a risk level warning is issued for the induced voltage of the casing. A reconstruction error threshold T is set, and samples are divided into different risk levels according to the reconstruction error. Let the risk level be Y. i , is represented as , Among them, T low T represents the minimum reconstruction error threshold. high This indicates the highest reconstruction error threshold.

4. A system employing the induced voltage simulation method for a GIS disconnector housing as described in any one of claims 1 to 3, characterized in that: It includes a simulation model building module (100), a network partitioning module (200), an electromagnetic field calculation module (300), an equivalent circuit construction module (400), and an early warning model setting module (500); The simulation model building module (100) is used to build a simulation model of the induced voltage of the GIS disconnect switch housing; The network partitioning module (200) partitions the simulation model into a network, sets the boundaries and excitation conditions, and performs numerical solutions. The electromagnetic field calculation module (300) solves for the distribution of magnetic field strength and electric field strength; The equivalent circuit construction module (400) constructs an equivalent circuit based on the electromagnetic field results and calculates the induced voltage of the shell. The early warning model setting module (500) sets the early warning model, including the monitoring and prediction of induced voltage and the sampling of probability distribution based on the Monte Carlo method.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the GIS disconnect switch housing induced voltage simulation method according to any one of claims 1 to 3.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the GIS disconnect switch housing induced voltage simulation method according to any one of claims 1 to 3.

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