Simulation method and device for improving insulation level of insulation electric field in isolator

Abstract

The application relates to a simulation method and device for improving the insulation level of an insulation electric field in a disconnecting switch, which comprises the following steps: constructing a multi-physical field coupling model of the disconnecting switch; wherein the physical field comprises an electromagnetic field of the disconnecting switch and a rare substance transmission field of the disconnecting switch; constructing a geometric model according to the structure of the disconnecting switch, giving material properties to the geometric model and importing insulation gas parameters; setting boundary conditions of each physical field to optimize the geometric model, obtaining a geometric optimization model, solving the geometric optimization model to obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the disconnecting switch; obtaining a geometric model corresponding to the optimal contour curve, solving the geometric model to obtain an optimal electric field distribution and an optimal charge distribution. The application studies the influence of the field strength distribution caused by the surface charge accumulation of the disconnecting switch, thereby obtaining the potential and electric field strength distribution under the influence of different sizes under a direct-current voltage, which is beneficial to the safe and stable operation of the disconnecting switch.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of simulation and simulation, and particularly relates to a simulation method and device for improving the insulation level of an insulation electric field in a disconnecting switch. BACKGROUND

[0002] The high-speed switch (HSS) is a new type of switch device, which has been widely studied by electrical equipment manufacturers at home and abroad. At present, the HSS is only in the research and development stage in China, and no prototype has been developed for experimental verification.

[0003] The HSS is a core device of a three-terminal direct current transmission project, and the insulation characteristics in the HSS play an important role in actual stable operation. The HSS is subjected to a direct current voltage for a long time in operation. In the transient process of the transition from the electrostatic field to the constant electric field, the interface between the nozzle mainly composed of epoxy resin and the internal SF6 gas will accumulate a certain amount of electric charge, resulting in a change in the surface electric field of the insulation nozzle and affecting the internal insulation level of the direct current device. SUMMARY

[0004] Therefore, the purpose of the application is to overcome the shortcomings of the prior art, provide a simulation method and device for improving the insulation level of an insulation electric field in a disconnecting switch, and solve the problem of the change in the surface electric field of the nozzle affecting the internal insulation level of the direct current device in the prior art.

[0005] To achieve the above purpose, the application adopts the following technical scheme: a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch, comprising:

[0006] constructing a multi-physical field coupling model of the disconnecting switch; wherein the physical fields include electromagnetic fields of the disconnecting switch and rare substance transfer fields of the disconnecting switch;

[0007] constructing a geometric model according to the structure of the disconnecting switch in the multi-physical field coupling model, giving material properties to the geometric model and importing insulation gas parameters;

[0008] setting boundary conditions of each physical field, optimizing the geometric model through the boundary conditions to obtain a geometric optimization model, solving the geometric optimization model to obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the disconnecting switch;

[0009] obtaining a geometric model corresponding to the optimal contour curve, and solving to obtain an optimal electric field distribution and an optimal charge distribution.

[0010] Further, the construction of the multi-physical field coupling model of the disconnecting switch comprises:

[0011] In the COMSOL software, a two-dimensional axisymmetric model is selected, and an electromagnetic field of the disconnecting switch and a rare substance transfer field of the disconnecting switch are added in the two-dimensional axisymmetric model; wherein the electromagnetic field is used to simulate the electromagnetic field distribution law in the disconnecting switch, and the rare substance transfer field is used to simulate the charge distribution law in the disconnecting switch.

[0012] Further, the structure configuration geometry model of the disconnecting switch in the multi-physical field coupling model comprises:

[0013] The structure of the disconnecting switch is simplified to be composed of an electrode, a spout and a glass cylinder, and the geometry model of the disconnecting switch is constructed in the COMSOL software according to the positional relationship and length-width-height ratio of the electrode, the spout and the glass cylinder.

[0014] Further, the material attribute given to the geometry model comprises:

[0015] The electrode is made of aluminum material, the spout is made of epoxy resin material, the glass cylinder is made of glass steel material, and the insulating gas is SF6;

[0016] The material attributes of the electrode, the spout, the glass cylinder and the insulating gas all include electrical conductivity and relative dielectric constant.

[0017] Further, the profile of the spout is in the shape of a circular arc, the circular arc is composed of an inside curve and an outside curve of the spout, and the geometry optimization model is solved to obtain an optimal profile curve, comprising:

[0018] A fifth-order Bernstein polynomial is used to respectively depict the inside curve and the outside curve of the spout, and profile functions of the inside curve and the outside curve are respectively obtained;

[0019] The profile functions are respectively solved according to preset constraint conditions, and points not satisfying the constraint conditions are removed to obtain the optimal profile curve; wherein the constraint conditions include a first constraint condition that the deformation variables at the end point and the start point of the curve are respectively minimum and maximum, a second constraint condition that the electric field distortion rate is minimum, and a third constraint condition that the shape is limited.

[0020] Further, the profile functions are solved by using the following preset constraint conditions;

[0021]

[0022] Wherein, S(r) is the profile function, r is the curve position point, S'(0) is the derivative of the start point of the curve, S'(1) is the derivative of the end point of the curve, S'(r) is the derivative at the curve position point r, A k is a decision variable, S0 is the profile function of the start point of the curve.

[0023] Further, the geometry optimization model comprises a target function of minimum values of inner and outer surface electric fields of the nozzle, and a constraint condition corresponding to the target function;

[0024] The target function is min: E = max{E1, E2} = f(A 12 ,A 13 ,A 22 ,A 23 );

[0025] The constraint condition is

[0026] Wherein, S1(r) is a contour function of the outer side of the nozzle, S2(r) is a contour function of the inner side of the nozzle, E is an electric field, E1 and E2 are surface electric fields of the outer side and the inner side of the nozzle respectively, D min and D max are minimum and maximum thicknesses of the nozzle determined by mechanical strength and manufacturing reliability.

[0027] Further, the radial dimensions of the inner and outer curves are normalized.

[0028] Further, the geometry model corresponding to the optimal contour curve is solved by using a Levenberg-Marquardt optimization algorithm in COMSOL software to obtain an optimal electric field distribution and an optimal charge distribution.

[0029] Wherein, the COMSOL software is preset with an upper limit value of the geometry model calculation corresponding to the optimal contour curve.

[0030] The embodiment of the application provides a simulation device for improving the insulation level of an insulation electric field in a disconnecting switch, comprising: a construction module for constructing a multi-physical field coupling model of the disconnecting switch; wherein the physical field comprises an electromagnetic field of the disconnecting switch and a rare substance transfer field of the disconnecting switch;

[0031] A construction module is configured to construct a geometry model in the multi-physical field coupling model according to the structure of the disconnecting switch, assign material properties to the geometry model, and import insulation gas parameters;

[0032] A first solving module is configured to set boundary conditions of each physical field, optimize the geometry model through the boundary conditions, obtain a geometry optimization model, solve the geometry optimization model, and obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the disconnecting switch.

[0033] A second solving module is configured to acquire a geometric model corresponding to the optimal profile curve, and to solve to obtain an optimal electric field distribution and an optimal charge distribution.

[0034] The present application can achieve the following beneficial effects by using the above technical solutions:

[0035] The present application provides a simulation method and device for improving the insulation level of an insulation electric field in a disconnecting switch. In the present application, a model with multiple physical fields is set to study the influence of field intensity distribution caused by surface charge accumulation of the disconnecting switch, so as to obtain the potential and electric field intensity distribution under different sizes under DC voltage, which is beneficial to the safe and stable operation of the disconnecting switch. The target of shape optimization in the present application is to find the optimal profile curve, to relieve local charge concentration and electric field distortion, to make the surface electric field distribution more uniform, and to increase the insulation withstand level. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or prior art description will be briefly introduced. 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.

[0037] Figure 1 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0038] Figure 2 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0039] Figure 3 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0040] Figure 4 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0041] Figure 5 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0042] Figure 6 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0043] Figure 7 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0044] Figure 8 The present application provides a simulation method for improving the insulation level of an insulation electric field in a disconnecting switch.

[0045] Figure 9This is a schematic diagram of the hardware structure for implementing the simulation method of improving the insulation level of the insulating electric field inside the disconnecting switch according to the present invention. Detailed Implementation

[0046] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be described in detail below. Obviously, the described embodiments are merely some embodiments of this invention, and not all embodiments. Based on the embodiments of this invention, all other implementation methods obtained by those skilled in the art without creative effort are within the scope of protection of this invention.

[0047] The following describes, with reference to the accompanying drawings, a specific simulation method and apparatus for improving the insulation level of an internal insulating electric field in a disconnecting switch, as provided in an embodiment of this application.

[0048] like Figure 1 As shown in the embodiments of this application, the simulation method for improving the insulation level of the insulating electric field inside the disconnecting switch includes:

[0049] S101, Construct a multi-physics coupling model of the disconnecting switch; wherein, the physical fields include the electromagnetic field of the disconnecting switch and the rare matter transfer field of the disconnecting switch;

[0050] S102, In the multiphysics coupling model, a geometric model is constructed based on the structure of the disconnecting switch, and the geometric model is assigned material properties and insulating gas parameters are imported;

[0051] S103, Set boundary conditions for each physical field, optimize the geometric model through the boundary conditions to obtain a geometrically optimized model, solve the geometrically optimized model to obtain the optimal contour curve; wherein, the optimal contour curve is the optimal size distribution of the structure of the disconnecting switch;

[0052] Understandably, this application sets boundary conditions for the electric field based on electromagnetic field theory, and boundary conditions for particle transport and space charge density based on the theory of surface charge accumulation.

[0053] S104, Obtain the geometric model corresponding to the optimal contour curve, and solve for the optimal electric field distribution and optimal charge distribution.

[0054] In this application, finite element analysis is used to calculate charge accumulation.

[0055] The working principle of the simulation method for improving insulation level through the internal insulating electric field of a disconnecting switch is as follows: First, a multi-physics coupling model of the disconnecting switch is constructed, wherein the physical fields include the electromagnetic field and the rarefied matter transport field of the disconnecting switch; see [link to relevant documentation]. Figure 2Then, a geometric model is constructed according to the actual structure of the disconnecting switch, material properties are given to the geometric model, and insulation gas parameters are imported, boundary conditions of a physical field are set, some points not meeting the boundary conditions are removed, and an optimal contour curve is obtained. It can be understood that the optimal contour curve is an optimal size distribution of the structure of the disconnecting switch. Then, a geometric model corresponding to the optimal size distribution is obtained, and the distribution of the electric field and the charge in the disconnecting switch is calculated. The distribution of the electric field and the charge can be used to analyze the insulation level in the disconnecting switch.

[0056] In some embodiments, the multi-physics coupling model of the disconnecting switch is constructed, including:

[0057] In the COMSOL software, a two-dimensional axisymmetric model is selected, and an electromagnetic field of the disconnecting switch and a rare substance transfer field of the disconnecting switch are added in the two-dimensional axisymmetric model. The electromagnetic field is used to simulate the distribution rule of the electromagnetic field in the disconnecting switch, and the rare substance transfer field is used to simulate the distribution rule of the charge in the disconnecting switch.

[0058] The simulation process is realized by the COMSOL software. First, a two-dimensional axisymmetric model is constructed in the COMSOL software, and an electromagnetic field and a rare substance transfer field are selected in the physical field selection. The electromagnetic field is used to simulate the distribution rule of the electromagnetic field in the disconnecting switch, and the rare substance transfer field is used to simulate the distribution rule of the charge in the disconnecting switch.

[0059] In some embodiments, the geometric model is constructed in the multi-physics coupling model according to the structure of the disconnecting switch, including:

[0060] The structure of the disconnecting switch is simplified to be composed of an electrode, a nozzle and a glass cylinder. According to the positional relationship and the length-width-height ratio of the electrode, the nozzle and the glass cylinder, a geometric model of the disconnecting switch is constructed in the COMSOL software.

[0061] Specifically, a geometric model of the disconnecting switch is constructed in the COMSOL software according to the actual structure and the size of the disconnecting switch. It can be understood that the geometric model is constructed after the sizes of the devices in the disconnecting switch are proportionally reduced. In the present application, the devices of the disconnecting switch are simplified, mainly using an electrode, a nozzle and a glass cylinder. Figure 3 As shown in FIG. 1, part A is the electrode, part B is the nozzle, and part C is the glass cylinder.

[0062] Preferably, the material properties are given to the geometric model, including:

[0063] The electrode is made of aluminum material, the nozzle is made of epoxy resin material, the glass cylinder is made of glass steel material, and the insulation gas is SF6.

[0064] The material properties of the electrode, the nozzle, the glass cylinder and the insulating gas include conductivity and relative dielectric constant.

[0065] Specifically, the electrode is aluminum, the nozzle is epoxy resin, the glass cylinder is glass fiber reinforced plastic, and the insulating gas is SF6. The conductivity and the relative dielectric constant of the electrode, the nozzle, the glass cylinder and the insulating gas are shown in Table 1.

[0066] Table 1 Material properties of the nozzle, the glass cylinder and the insulating gas

[0067] Material Conductivity / S-m -1 ]] Relative dielectric constant SF6 2.63 x 10 -18 ]] 1.002 Glass fiber reinforced plastic 1 x 10 -17 ]]> 5 Epoxy resin 2.63 x 10 -18 ]] 3.5 Aluminum conductor / /

[0068] In some embodiments, the profile of the nozzle is in the shape of a circular arc, the circular arc is composed of an inner curve and an outer curve of the nozzle, and the solving of the geometric optimization model to obtain an optimal profile curve includes:

[0069] The inner curve and the outer curve of the nozzle are respectively depicted by using a fifth-order Bernstein polynomial to obtain profile functions of the inner curve and the outer curve;

[0070] The profile functions are respectively solved according to preset constraint conditions, and points not satisfying the constraint conditions are removed to obtain the optimal profile curve; wherein the constraint conditions include a first constraint condition that a deformation variable at an end point of the curve and a deformation variable at a start point of the curve are respectively minimum and maximum, a second constraint condition that an electric field distortion rate is minimum, and a third constraint condition that a shape is limited.

[0071] As a preferred embodiment, the radial dimensions of the inner curve and the outer curve are normalized.

[0072] As shown in Figure 4 The profile of the nozzle can be regarded as that two curves are connected by a circular arc. The curve shapes of the inner curve and the outer curve of the nozzle are respectively depicted by using a fifth-order Bernstein polynomial, which is denoted as a profile function S(r), and the radial dimensions are normalized, and the function is proportionally reduced to facilitate calculation.

[0073] The Bernstein polynomial is a linear combination of a series of polynomials that approximate continuous functions, and the effect is better as the order increases. The definition of the Bernstein polynomial is as follows:

[0074]

[0075] where n is the order of the polynomial fitting. By fitting the boundary curve of the two-dimensional axisymmetric figure of the nozzle, the profile curve can be optimized by a numerical method (such as a particle swarm algorithm or a genetic algorithm) to obtain the optimal electric field distribution. The present application adjusts the profile curves on the inner and outer sides of the nozzle by using Bernstein polynomials, and obtains the optimal size distribution in combination with an optimization algorithm.

[0076] In actual manufacturing, the shapes of both sides need to be constrained to a certain extent. For example, the deformation at the end and starting points of the curve is the minimum and maximum, respectively. In order to ensure that the electric field distortion rate is the minimum, the derivatives at the starting and ending points need to be set to 0. In order to limit the shape from being too irregular and to ensure that there is no condition of too uneven thickness or too large local gradient, a constraint condition needs to be added

[0077] Therefore, the constraint conditions for optimizing the profile functions of the inner curve and the outer curve are:

[0078]

[0079] where S(r) is the profile function, r is the position point of the curve, S'(0) is the derivative of the starting point of the curve, S'(1) is the derivative of the ending point of the curve, S'(r) is the derivative at the position point r of the curve, A k is the decision variable, and S0 is the profile function of the starting point of the curve.

[0080] According to the starting positions of the curves on both sides of the nozzle and by enlarging the obtained optimized curve in the original proportion, the outer curve function and the inner curve function S1(r) and S2(r) can be obtained, as shown in FIG. 4. The decision variables can be set as A12, A13, A22, and A23 that describe the profile changes. Therefore, the geometric optimization model takes the minimum value of the electric field on the inner and outer surfaces of the nozzle as the objective function, and the constraint conditions of the objective function are as follows:

[0081] Objective function: min: E = max{E1, E2} = f(A 12 ,A 13 ,A 22 ,A 23 );

[0082] The constraint conditions are

[0083] where E1 and E2 are the maximum value of the electric field on the outer surface and the maximum value of the electric field on the inner surface, respectively; D min and D maxThe minimum thickness of the nozzle is set to 10 mm and the maximum thickness of the nozzle is set to 30 mm in the application, which is determined by the mechanical strength and manufacturing reliability. Generally, the critical field strength of the insulation surface in the inner insulation is 12 kV / mm, and in some cases, this limit can be added to prevent the algorithm from converging to some local optimum that does not meet the actual working conditions, thereby improving the reliability of the algorithm.

[0084] In some embodiments, the Levenberg-Marquardt optimization algorithm in the COMSOL software is used to solve the geometric model corresponding to the optimal profile curve to obtain the optimal electric field distribution and the optimal charge distribution.

[0085] The COMSOL software has a preset upper limit value for the calculation of the geometric model corresponding to the optimal profile curve.

[0086] It should be noted that the COMSOL multi-physics simulation software has an optimization function, which can set the corresponding optimization objectives and constraints in its internal optimization module, use the Levenberg-Marquardt optimization algorithm in the solver settings, and find the optimal decision variables. Due to the limitation of calculation time, the maximum number of model calculations can be set to 50 times. In actual calculation, the solving algorithm and calculation times can be adjusted according to the complexity of the model and the calculation accuracy.

[0087] The following gives a calculation example under the electric field parameter, wherein,

[0088] The outer curve is:

[0089] S1(r) = 3.36 x 10 -11 x 5 -3.17x 4 -0.01x 3 -2.17x 2 +1960.04x-96904.11;

[0090] The inner curve is:

[0091] S2(r) = -1.74 x 10 -11 x 5 +1.27x 4 +0.47x 2 -305.04x+73484.

[0092] The geometric optimization model in the application can be regarded as the optimization of the boundaries formed by two polynomial functions, and there are certain restrictions on the polynomial coefficients.

[0093] In summary, the application measures a one-dimensional surface electric field distribution curve to analyze the internal insulation level under the nozzle shape.

[0094] As shown in Figure 8 The simulation device for improving the internal insulation electric field of the isolating switch and the insulation level provided by the embodiments of the application comprises:

[0095] The construction module 801 is configured to construct a multi-physical field coupling model of the isolating switch, wherein the physical fields include electromagnetic fields of the isolating switch and rare substance transfer fields of the isolating switch.

[0096] The construction module 802 is configured to construct a geometric model according to the structure of the isolating switch in the multi-physical field coupling model, attribute the geometric model with material properties, and import insulation gas parameters.

[0097] The first solving module 803 is configured to set boundary conditions of each physical field, optimize the geometric model through the boundary conditions to obtain a geometric optimization model, and solve the geometric optimization model to obtain an optimal contour curve, wherein the optimal contour curve is an optimal size distribution of the structure of the isolating switch.

[0098] The second solving module 804 is configured to obtain a geometric model corresponding to the optimal contour curve and solve the geometric model to obtain an optimal electric field distribution and an optimal charge distribution.

[0099] The working principle of the simulation device for improving the internal insulation electric field of the isolating switch and the insulation level provided by the embodiments of the application is as follows: the construction module 801 constructs a multi-physical field coupling model of the isolating switch, wherein the physical fields include electromagnetic fields of the isolating switch and rare substance transfer fields of the isolating switch; the construction module 802 constructs a geometric model according to the structure of the isolating switch in the multi-physical field coupling model, attributes the geometric model with material properties, and imports insulation gas parameters; the first solving module 803 sets boundary conditions of each physical field, optimizes the geometric model through the boundary conditions to obtain a geometric optimization model, and solves the geometric optimization model to obtain an optimal contour curve, wherein the optimal contour curve is an optimal size distribution of the structure of the isolating switch; and the second solving module 804 obtains a geometric model corresponding to the optimal contour curve and solves the geometric model to obtain an optimal electric field distribution and an optimal charge distribution.

[0100] The application provides a computer device, comprising a memory and a processor, and further comprising a network interface, the memory stores a computer program, the memory can comprise a non-permanent memory in a computer readable medium, such as a random access memory (RAM) and / or a non-volatile memory, for example, a read-only memory (ROM) or a flash memory (flash RAM). The computer device stores an operating system, and the memory is an example of a computer readable medium. The computer program is executed by the processor, so that the processor executes the simulation method for improving the insulation level of the insulation electric field in the isolator, Figure 9 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the application, and does not constitute a limitation on the computer device to which the scheme of the application is applied. The specific computer device can comprise more or fewer components than those shown in the figure, or some components can be combined, or have a different component arrangement.

[0101] In one embodiment, the simulation method for improving the insulation level of the insulation electric field in the isolator provided by the application can be realized in the form of a computer program, which can run on a computer device as shown in the figure. Figure 9

[0102] In some embodiments, the computer program is executed by the processor, so that the processor executes the following steps: constructing a multi-physical field coupling model of the isolator; wherein the physical field comprises an electromagnetic field of the isolator and a rare substance transfer field of the isolator; constructing a geometric model according to the structure of the isolator in the multi-physical field coupling model, assigning material properties to the geometric model and importing insulation gas parameters; setting boundary conditions of each physical field, optimizing the geometric model through the boundary conditions to obtain a geometric optimization model, solving the geometric optimization model to obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the isolator; obtaining a geometric model corresponding to the optimal contour curve, and solving to obtain an optimal electric field distribution and an optimal charge distribution.

[0103] The application also provides a computer storage medium. Examples of the computer storage medium of the computer include, but are not limited to, a phase change memory (PRAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), other types of random access memory (RAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory or other memory technology, a compact disc read-only memory (CD-ROM), a digital versatile disc (DVD) or other optical storage, a magnetic cassette memory or other magnetic storage device, or any other non-transmission medium that can be used to store information accessible to a computing device.

[0104] ​In some embodiments, the application further provides a computer readable storage medium storing a computer program, the computer program being configured to construct a multi-physical field coupling model of the isolating switch when executed by a processor; wherein the physical fields include electromagnetic fields of the isolating switch and rare substance transfer fields of the isolating switch; a geometric model is constructed according to a structure of the isolating switch in the multi-physical field coupling model, material properties are assigned to the geometric model and insulation gas parameters are imported; boundary conditions of each physical field are set, the geometric model is optimized through the boundary conditions to obtain a geometric optimization model, the geometric optimization model is solved to obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the isolating switch; a geometric model corresponding to the optimal contour curve is obtained and solved to obtain an optimal electric field distribution and an optimal charge distribution.

[0105] In summary, the application provides a simulation method and device for improving the insulation level of an insulation electric field in an isolating switch, including constructing a multi-physical field coupling model of the isolating switch; constructing a geometric model according to a structure of the isolating switch in the multi-physical field coupling model, assigning material properties to the geometric model and importing insulation gas parameters; setting boundary conditions of each physical field, optimizing the geometric model through the boundary conditions to obtain a geometric optimization model, solving the geometric optimization model to obtain an optimal contour curve; obtaining a geometric model corresponding to the optimal contour curve and solving to obtain an optimal electric field distribution and an optimal charge distribution. The application studies the influence of field intensity distribution caused by surface charge accumulation of the isolating switch, thereby obtaining potential and electric field intensity distribution under the influence of different sizes under direct current voltage, which is beneficial to safe and stable operation of the isolating switch.

[0106] It can be understood that the method embodiments provided above correspond to the device embodiments described above, and the corresponding specific contents can be mutually referred to, which will not be described here again.

[0107] Those skilled in the art should understand that embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer usable program code.

[0108] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0109] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0110] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flow or blocks Figure 1 one or more flow or blocks

[0111] The above description is only specific embodiments of the application, but the protection scope of the application is not limited to this, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the application, which should be covered in the protection scope of the application. Therefore, the protection scope of the application should be subject to the protection scope of the claims.

Claims

1. A simulation method for improving the insulation level of an isolation switch by modifying the insulation electric field, characterized in that, The method comprises the steps of: constructing a multi-physical field coupling model of the disconnecting switch; wherein the physical fields include electromagnetic fields of the disconnecting switch and rare substance transfer fields of the disconnecting switch; constructing a geometric model according to the structure of the disconnecting switch in the multi-physical field coupling model, assigning material properties to the geometric model and importing insulation gas parameters; setting boundary conditions of each physical field, optimizing the geometric model through the boundary conditions, obtaining a geometric optimization model, and solving the geometric optimization model to obtain an optimal contour curve; wherein the optimal contour curve is an optimal size distribution of the structure of the disconnecting switch; obtaining a geometric model corresponding to the optimal contour curve and solving the geometric model to obtain an optimal electric field distribution and an optimal charge distribution; wherein the step of constructing a geometric model according to the structure of the disconnecting switch in the multi-physical field coupling model comprises: simplifying the structure of the disconnecting switch into an electrode, a nozzle and a glass cylinder, and constructing a geometric model of the disconnecting switch in COMSOL software according to the positional relationship and length-width-height ratio of the electrode, the nozzle and the glass cylinder; the contour of the nozzle is in the shape of a circular arc, the circular arc is composed of an inner curve and an outer curve of the nozzle, and the step of solving the geometric optimization model to obtain an optimal contour curve comprises: using a fifth-order Bernstein polynomial to respectively depict the inner curve and the outer curve of the nozzle to respectively obtain contour functions of the inner curve and the outer curve; solving the contour functions according to preset constraint conditions, removing points that do not satisfy the constraint conditions to obtain an optimal contour curve; wherein the constraint conditions include a first constraint condition that the deformation variables at the end point and the starting point of the curve are respectively the minimum and the maximum, a second constraint condition that the electric field distortion rate is the minimum, and a third constraint condition that limits the shape.

2. The method of claim 1, wherein, The step of constructing a multi-physical field coupling model of the disconnecting switch comprises: in COMSOL software, selecting a two-dimensional axisymmetric model and adding electromagnetic fields of the disconnecting switch and rare substance transfer fields of the disconnecting switch in the two-dimensional axisymmetric model; wherein the electromagnetic fields are used to simulate the electromagnetic field distribution law in the disconnecting switch, and the rare substance transfer fields are used to simulate the charge distribution law in the disconnecting switch.

3. The method of claim 1, wherein, The step of assigning material properties to the geometric model comprises: the electrode is made of aluminum material, the nozzle is made of epoxy resin material, the glass cylinder is made of glass steel material, and the insulation gas is SF6; the material properties of the electrode, the nozzle, the glass cylinder and the insulation gas include electrical conductivity and relative dielectric constant.

4. The method of claim 1, wherein, The contour functions are solved by using the following preset constraint conditions; wherein, is the profile function, r is the curve position point, is the curve start point, is the curve end point, is the derivative at the curve position point r, is the decision variable, is the profile function at the curve start point.

5. The method of claim 1, wherein, the geometric optimization model includes a target function that takes the minimum value of the inner and outer surface electric fields of the nozzle as the target function, and constraint conditions corresponding to the target function; The objective function is ; The constraint condition is ; wherein, A12is a profile function for the outside of the nozzle, A13is a profile function for the inside of the nozzle, E is an electric field, E1and E2are surface electric fields for the outside and the inside of the nozzle, respectively, D min and A12, A13, A22, A23are decision variables set to describe profile changes, respectively, a minimum thickness of the nozzle and a maximum thickness of the nozzle determined by mechanical strength and manufacturing reliability limitations.

6. The method of claim 1, wherein, the radial dimensions of the inner curve and the outer curve are normalized.

7. The method of claim 1, wherein, The Levenberg-Marquardt optimization algorithm is used in the COMSOL software to solve the geometric model corresponding to the optimal profile curve to obtain an optimal electric field distribution and an optimal charge distribution. The COMSOL software is preset with an upper limit value of the calculation of the geometric model corresponding to the optimal profile curve.

8. An apparatus for simulating an insulation level of an insulation electric field in a disconnector, characterized by The method comprises the following steps: The construction module is configured to construct a multi-physical field coupling model of the disconnecting switch, wherein the physical fields include an electromagnetic field of the disconnecting switch and a rare substance transfer field of the disconnecting switch. The construction module is configured to construct a geometric model according to the structure of the disconnecting switch in the multi-physical field coupling model, assign material properties to the geometric model, and import insulation gas parameters. The first solving module is configured to set boundary conditions of each physical field, optimize the geometric model through the boundary conditions to obtain a geometric optimization model, and solve the geometric optimization model to obtain an optimal profile curve; wherein the optimal profile curve is an optimal size distribution of the structure of the disconnecting switch. The second solving module is configured to obtain a geometric model corresponding to the optimal profile curve, and solve the geometric model to obtain an optimal electric field distribution and an optimal charge distribution. The method comprises the following steps: The structure of the disconnecting switch is simplified to be composed of an electrode, a nozzle, and a glass cylinder, and the geometric model of the disconnecting switch is constructed in the COMSOL software according to the positional relationship and length-width-height ratio of the electrode, the nozzle, and the glass cylinder. The profile of the nozzle is in the shape of a circular arc, and the circular arc is composed of an inside curve and an outside curve of the nozzle. The method comprises the following steps: A fifth-order Bernstein polynomial is used to respectively depict the inside curve and the outside curve of the nozzle to respectively obtain profile functions of the inside curve and the outside curve. The profile functions are solved according to preset constraint conditions, and points that do not satisfy the constraint conditions are removed to obtain an optimal profile curve; wherein the constraint conditions include a first constraint condition that the deformation variables at the end point and the starting point of the curve are respectively the minimum and the maximum, a second constraint condition that the electric field distortion rate is the minimum, and a third constraint condition that the shape is limited.

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