Three-pillar insulator structural parameter optimization method and related device

Abstract

The present invention provides a method and related device for optimizing the structural parameters of a three-pillar insulator, relating to the technical field of insulator optimization design. The method comprises: constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator; performing electrostatic field simulation of the three-pillar insulator based on the GIL model to determine a first maximum electric field intensity, a second maximum electric field intensity, and a combination of key structural parameters; constructing an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, and determining decision variables and constraints based on the combination of key structural parameters to perform a WOAGWO optimization calculation to determine the optimal parameter combination. The three-pillar insulator structural parameter optimization method of the present invention achieves a more efficient parameter optimization scheme compared to traditional manual optimization schemes for structural parameters; compared to other optimization algorithms, the present invention has the advantages of greater efficiency and more precise calculations, and can achieve better insulation performance of the three-pillar insulator.

Description

Technical Field

[0001] The present disclosure relates to the technical field of insulator optimization design, and in particular to a method for optimizing structural parameters of a three-pillar insulator and related devices. Background Art

[0002] Compared to traditional power transmission methods, gas-insulated transmission lines (GILs) offer advantages such as high capacity and resistance to insulation aging. They are also suitable for special applications such as crossing mountains and rivers and transmitting electricity in cities, making them widely used both domestically and internationally. The three-leg insulator in a GIL supports the central conductor. Its belly wraps around the central conductor, and its three legs are secured to the ground electrode via metal inserts. Current research indicates that the three-leg insulator is a key component of the GIL's internal insulation and is susceptible to partial discharge or surface flashover due to insufficient insulation margin, leading to GIL insulation failure.

[0003] Unreasonable structural design can lead to excessive surface field strength on the three-pillar insulator and metal insert, seriously threatening the insulation performance of the three-pillar insulator itself. In existing technologies, the insulation performance is often improved by optimizing the structure of the three-pillar insulator, but this is often limited to manually modifying the structure of a certain part of the three-pillar insulator and re-running the electric field simulation to observe whether the surface electric field is reduced. This method is blind and inefficient, and it is impossible to explore the optimal structural parameter combination for the three-pillar insulator. Moreover, the actual insulation performance improvement of the optimized three-pillar insulator needs to be verified through insulation withstand voltage testing, which requires re-molding and production, which is time-consuming and costly. Summary of the Invention

[0004] The purpose of the embodiments of the present disclosure is to provide a three-pillar insulator structural parameter optimization method and related devices to solve at least one of the problems of low efficiency and difficulty in exploring the optimal structural parameter combination in the prior art of three-pillar insulator structural optimization.

[0005] In order to solve the above technical problems, the first aspect of the present invention provides a three-pillar insulator structural parameter optimization method, including: constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator; performing electrostatic field simulation of the three-pillar insulator based on the GIL model, determining the first maximum electric field intensity on the surface of the three-pillar insulator, the second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters affecting the electric field distribution; constructing an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, and determining decision variables and constraints based on the key structural parameter combination to perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0006] Furthermore, the GIL model includes the three-pillar insulator, the central conductor, the particle trap, the grounded shell, and the high-voltage side shielding cover. The electrostatic field simulation of the three-pillar insulator based on the GIL model is performed to determine the first maximum electric field intensity on the surface of the three-pillar insulator, the second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters affecting the electric field distribution, including: applying a high potential to the central conductor, applying a zero potential to the grounded shell, the particle trap, and the insert, setting the relative dielectric constant of the three-pillar insulator and the insulating gas, and calculating the first maximum electric field intensity and the second maximum electric field intensity through electrostatic field simulation.

[0007] Furthermore, the electrostatic field simulation of the three-pillar insulator based on the GIL model is performed to determine the first maximum electric field intensity on the surface of the three-pillar insulator, the second maximum electric field intensity on the surface of the insert, and the key structural parameter combination that affects the electric field distribution, including: determining the key structural parameter combination based on the degree of influence of each structural parameter in the structural parameter combination of the three-pillar insulator on the electric field distribution.

[0008] Furthermore, the objective function includes a first-stage optimization objective function and a second-stage optimization objective function, wherein the first-stage optimization objective function includes:

[0009] f min =ω1E1+ω2E2;

[0010] The second stage optimization objective function includes:

[0011] f min =E1;

[0012] Wherein, ω1 and ω2 are field strength weight coefficients respectively, E1 is the maximum value of the first electric field strength, and E2 is the maximum value of the second electric field strength.

[0013] Furthermore, the determination of decision variables and constraints based on the key structural parameter combination includes: the key structural parameter combination includes the insert key structural parameter combination X 嵌件 =

[0014] [x1 ′ , x2 ′ ,…,x ′ n ] and the key structural parameter combination X 本体 =[x1, x2, ..., x n ], where x ′ n Represents the key structural parameters of the nth insert, x nrepresents the nth key structural parameter of the ontology; the constraint conditions include first-stage constraint conditions and second-stage constraint conditions, wherein the first-stage constraint conditions include:

[0015]

[0016] The second stage constraints include:

[0017]

[0018] Where x ′ nmin and x ′ nmax They represent the lower and upper bounds of the key structural parameters of the nth insert, x nmin and x nmax They represent the lower bound and upper bound of the key structural parameters of the nth ontology respectively.

[0019] Furthermore, the WOAGWO optimization calculation to determine the optimal parameter combination includes: presetting the number of individuals in the population, the maximum number of iterations, and setting the decision variables, the constraints and the objective function; initializing the population position and calculating the fitness of the individuals; recording the location of the corresponding solution according to the fitness; iteratively updating each individual position, the individual fitness, and the location of each solution, and judging whether the termination condition is met. If the termination condition is met, the optimal parameter combination is determined based on the solution of the latest iteration; otherwise, the iteration continues.

[0020] Furthermore, the termination condition includes: the number of iterations reaches a maximum number of iterations, or the number of iterations in which the optimal solution α is not updated reaches a preset iteration threshold.

[0021] The second aspect of the present invention also provides a three-pillar insulator structural parameter optimization device, including: a modeling module, used to construct a GIL model to be optimized based on the initial parameters of the three-pillar insulator; a simulation module, used to perform electrostatic field simulation of the three-pillar insulator based on the GIL model, determine the first maximum electric field intensity on the surface of the three-pillar insulator, the second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters affecting the electric field distribution; an optimization module, used to construct an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, determine decision variables and constraints based on the key structural parameter combination, so as to perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0022] The third aspect of the present invention further provides a storage medium storing a computer program, which, when executed by a processor, implements the steps of the three-pillar insulator structural parameter optimization method.

[0023] The fourth aspect of the present invention also provides an electronic device, which includes at least a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps of the three-pillar insulator structural parameter optimization method when executing the computer program on the memory.

[0024] The three-pillar insulator structural parameter optimization method of the present invention first establishes a GIL model, then performs electrostatic field simulation, calculates the maximum value of the first electric field intensity and the maximum value of the second electric field intensity to determine the objective function, determines the key structural parameter combination to determine the decision variables and constraints, and then determines the optimal parameter combination through WOAGWO optimization calculation. Compared with the traditional manual optimization scheme of structural parameters, a more efficient parameter optimization scheme is achieved; compared with other optimization algorithms (such as WOA optimization algorithm or GWO optimization algorithm, etc.), the present invention has the advantages of higher efficiency and more accurate calculation. The three-pillar insulator made according to the obtained optimal parameter combination can achieve better insulation performance.

[0025] The three-pillar insulator structural parameter optimization device, storage medium and electronic device in the present invention have all the beneficial effects of the above-mentioned three-pillar insulator structural parameter optimization method, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0027] Figure 1 A schematic diagram of the steps of the method for optimizing the structural parameters of a three-pillar insulator provided by the present invention;

[0028] Figure 2 A structural block diagram of the device for optimizing the structural parameters of a three-pillar insulator provided by the present invention;

[0029] Figure 3 A schematic diagram of the structure of the GIL model provided by the present invention;

[0030] Figure 4 This is a flow chart of the WOAGWO optimization calculation provided by the present invention.

[0031] The above drawings include the following reference numerals:

[0032] 1. Three-pillar insulator; 11. Belly area; 12. Leg area; 13. Body and insert interface area; 2. Center conductor; 3. Particle trap; 4. Grounding shell; 5. High-voltage side shield. DETAILED DESCRIPTION

[0033] It should be understood that various modifications may be made to the embodiments disclosed herein. Therefore, the above description should not be considered as limiting, but merely as an example of an embodiment. Other modifications within the scope and spirit of the present disclosure will occur to those skilled in the art.

[0034] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the general description of the present disclosure given above and the detailed description of the embodiments given below, serve to explain the principles of the present disclosure.

[0035] These and other characteristics of the present disclosure will become apparent from the following description of a preferred form of embodiment given as a non-limiting example with reference to the accompanying drawings.

[0036] It should also be understood that although the present disclosure has been described with reference to certain specific examples, those skilled in the art will be able to realize many other equivalent forms of the present disclosure that have the characteristics recited in the claims and are therefore within the scope of protection defined thereby.

[0037] The above and other aspects, features and advantages of the present disclosure will become more apparent from the following detailed description when taken in conjunction with the accompanying drawings.

[0038] Specific embodiments of the present disclosure will be described hereinafter with reference to the accompanying drawings; however, it should be understood that the claimed embodiments are merely examples of the present disclosure, which may be implemented in a variety of ways. Well-known and / or repetitive functions and structures are not described in detail to avoid obscuring the present disclosure with unnecessary or redundant detail. Therefore, the specific structural and functional details claimed herein are not intended to be limiting, but rather serve merely as a basis and representative basis for teaching those skilled in the art to variously employ the present disclosure with substantially any suitable detailed structure.

[0039] This description may use the phrases "in one embodiment," "in another embodiment," "in a further embodiment," or "in other embodiments," each of which may refer to one or more of the same or different embodiments according to the present disclosure.

[0040] For reference Figure 3 The GIL model shown in FIG3 is used to understand the specific structure of the three-pillar insulator 1 and other related components. The first aspect of the present invention provides a method for optimizing the structural parameters of a three-pillar insulator. Figure 1 As shown, including:

[0041] S100, constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator 1;

[0042] S200, performing electrostatic field simulation of a three-pillar insulator based on the GIL model, determining a first maximum electric field intensity on the surface of the three-pillar insulator, a second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters that affect electric field distribution;

[0043] S300: Construct an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, determine decision variables and constraints based on the key structural parameter combination, and perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0044] In step S100, a GIL model to be optimized is constructed based on the initial parameters of the three-pillar insulator. Specifically, a GIL model is generated by combining the initial parameters of the three-pillar insulator 1 with a 3D modeling software (such as SolidWorks). The initial parameters include leg parameters, belly parameters, and insert parameters. Leg parameters include leg length, leg radius, and the size of the transition fillet between the leg and the belly; belly parameters include belly thickness and belly width; and insert parameters include insert depth, insert width, and insert fillet size. The GIL model can be combined with Figure 3 As shown, it includes the three-pillar insulator 1, the central conductor 2, the particle trap 3, the grounding shell 4, and the high-voltage side shielding cover 5, wherein the three-pillar insulator 1 has a belly area 11, a leg area 12, and a body and insert interface area 13.

[0045] In step S200, a three-pillar insulator electrostatic field simulation is performed based on the GIL model to determine the maximum first electric field strength on the surface of the three-pillar insulator 1, the maximum value of the insert ( Figure 3 The second maximum electric field intensity on the surface of the partial structure located above the interface region 13 between the main body and the insert (i.e., the insert) and the key structural parameter combination that affects the electric field distribution are analyzed. Specifically, the GIL model can be imported into finite element simulation software (e.g., COMSOL). A high potential is applied to the center conductor 2, and a zero potential is applied to the grounded shell 4, the particle trap 3, and the insert. The relative dielectric constants of the three-pillar insulator 1 and the insulating gas are set, and the first and second maximum electric field intensity values ​​are calculated through electrostatic field simulation. Generally speaking, the three-pillar insulator 1 is made of epoxy or alumina material, which has a relative dielectric constant of approximately 6.5. The insulating gas is typically sulfur hexafluoride, which has a relative dielectric constant of approximately 1.002. The first and second maximum electric field intensity values ​​E1 and E2 are calculated through finite element simulation. In this way, E1 and E2 are used as the targets for subsequent optimization, that is, to reduce the maximum electric field intensity, thereby better ensuring the insulation performance of the three-pillar insulator 1.

[0046] Furthermore, in step S200, an electrostatic field simulation of a three-pillar insulator is performed based on the GIL model to determine the first maximum electric field intensity on the surface of the three-pillar insulator 1, the second maximum electric field intensity on the surface of the insert, and a key structural parameter combination that affects the electric field distribution. It also includes: determining a key structural parameter combination based on the degree of influence of each structural parameter in the structural parameter combination of the three-pillar insulator 1 on the electric field distribution.

[0047] Specifically, the parametric scanning function in the finite element simulation software (such as COMSOL) can be used to determine the degree of influence of each structural parameter on the electric field distribution. When the degree of influence is small (a threshold can be set as needed), the corresponding structural parameters are eliminated, and the remaining structural parameters with a larger degree of influence are retained as key structural parameters to form a key structural parameter combination.

[0048] In this way, structural parameters with little influence on the electric field distribution can be eliminated, thereby improving the efficiency of the subsequent optimization process.

[0049] In step S300, an objective function is constructed based on the first electric field intensity maximum value and the second electric field intensity maximum value, and decision variables and constraints are determined based on the key structural parameter combination to perform WOAGWO (Whale Optimization Algorithm Grey Wolf Optimizer) optimization calculation to determine the optimal parameter combination.

[0050] Furthermore, the objective function includes a first-stage optimization objective function and a second-stage optimization objective function, wherein the first-stage optimization objective function includes:

[0051] f min =ω1E1+ω2E2;

[0052] The second stage optimization objective function includes:

[0053] f min =E1;

[0054] In the formula, ω1 and ω2 are field strength weight coefficients respectively, and ω1 and ω2 need to be determined according to the specific structure of the three-pillar insulator 1. In this embodiment, ω1=0.7, ω2=0.3, E1 is the maximum value of the first electric field strength, and E2 is the maximum value of the second electric field strength.

[0055] For the first-stage optimization objective function, the final optimization goal is to minimize the maximum second electric field intensity on the three-pillar insulator body while ensuring that the maximum first electric field intensity on the insert surface does not exceed the constraint. For the second-stage optimization objective function, the final optimization goal is to minimize the maximum second electric field intensity on the three-pillar insulator body after the first-stage optimization.

[0056] Furthermore, the determination of decision variables and constraints based on the combination of key structural parameters includes:

[0057] The key structural parameter combination includes the key structural parameter combination X of the insert 嵌件 =

[0058] [x1 ′ , x2 ′ ,…,x ′ n ] and the key structural parameter combination X 本体 =[x1, x2, ..., x n ], where x ′ n Represents the key structural parameters of the nth insert, x n Represents the key structural parameters of the nth entity;

[0059] The constraints include first-stage constraints and second-stage constraints, wherein the first-stage constraints include:

[0060]

[0061] The second stage constraints include:

[0062]

[0063] Where x ′ nmin and x ′ nmax They represent the lower and upper bounds of the key structural parameters of the nth insert, x nmin and x nmax They represent the lower bound and upper bound of the key structural parameters of the nth ontology respectively.

[0064] x ′ nmin 、x ′ nmax 、x nmin 、x nmax The specific value of should be determined in combination with the initial structure of the three-pillar insulator 1, the main purpose of which is to ensure that the parameter changes within a limited range.

[0065] Furthermore, the specific steps of performing the WOAGWO optimization calculation to determine the optimal parameter combination, that is, the WOAGWO optimization algorithm, include:

[0066] Presetting the number of individuals in the population, the maximum number of iterations, and setting the decision variables, the constraints, and the objective function;

[0067] Initialize the population position (if the subsequently updated individual position of the population exceeds the search space, a limit operation can be performed to set the variable value that exceeds the constraint condition to the constraint boundary) and calculate the individual fitness;

[0068] According to the fitness record, the location of the corresponding solution (for example, combined with Figure 4 As shown, according to the fitness from large to small, they are arranged in order as α wolf, β wolf, γ wolf and ω wolf, among which α wolf, β wolf and γ wolf are called the alpha wolf in the population);

[0069] Iteratively update the position of each individual (when updating the position, the individual with higher fitness plays a leading role for the individual with lower fitness, and the individual with lower fitness will move closer to the individual with higher fitness according to the distance and direction between itself and the individual with higher fitness), the fitness of the individual, the location of each solution, and judge whether the termination condition is met. If the termination condition is met, the optimal parameter combination is determined based on the solution of the latest iteration (for example, combined with Figure 4 As shown, the latest iterative solutions are α, β, γ, and ω. The three with the highest fitness can be determined as the optimal parameter combination, i.e., α, β, γ. Alternatively, when more structural parameters are needed, α, β, γ, and ω can also be used as the optimal parameter combination); otherwise, continue iterating.

[0070] Preferably, the termination condition includes: the number of iterations reaches a maximum number of iterations, or the number of iterations in which the optimal solution α is not updated reaches a preset iteration threshold.

[0071] For example, when the number of iterations is greater than the maximum number of iterations, the termination condition is met, and the optimal solution α, the suboptimal solution β, and the secondary solution γ of the latest iteration are determined to be the optimal parameter combination; or, when the number of iterations in which the optimal solution α is not updated reaches 10 times (assuming the preset iteration threshold is 10 times), that is, during these 10 consecutive iterative updates, the optimal solution α remains unchanged, then the termination condition is met, and the optimal solution α, the suboptimal solution β, and the secondary solution γ of the latest iteration are determined to be the optimal parameter combination.

[0072] In this way, compared with the WOA whale optimization algorithm or the GWO grey wolf optimization algorithm, the WOAGWO optimization algorithm has better performance and can mine the optimal parameter combination of the three-pillar insulator 1 to maximize the insulation performance.

[0073] The three-pillar insulator structural parameter optimization method of the present invention first establishes a GIL model, then performs electrostatic field simulation, calculates the maximum value of the first electric field intensity and the maximum value of the second electric field intensity to determine the objective function, determines the key structural parameter combination to determine the decision variables and constraints, and then determines the optimal parameter combination through WOAGWO optimization calculation. Compared with the traditional manual optimization scheme of structural parameters, a more efficient parameter optimization scheme is achieved; compared with other optimization algorithms (such as WOA optimization algorithm or GWO optimization algorithm, etc.), the present invention has the advantages of higher efficiency and more accurate calculation. The three-pillar insulator 1 made according to the obtained optimal parameter combination can achieve better insulation performance.

[0074] The second aspect of the present invention provides a three-pillar insulator structural parameter optimization device, combined with Figure 2 As shown, including:

[0075] A modeling module, used for constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator 1;

[0076] a simulation module for performing electrostatic field simulation of a three-pillar insulator based on the GIL model, determining a maximum first electric field intensity on the surface of the three-pillar insulator 1, a maximum second electric field intensity on the surface of the insert, and a combination of key structural parameters that affect the electric field distribution;

[0077] An optimization module is used to construct an objective function based on the first electric field intensity maximum value and the second electric field intensity maximum value, and determine decision variables and constraints based on the key structural parameter combination to perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0078] The three-pillar insulator structural parameter optimization device in the present invention can implement the above-mentioned three-pillar insulator structural parameter optimization method, that is, first establish a GIL model, then perform electrostatic field simulation, calculate the maximum value of the first electric field intensity and the maximum value of the second electric field intensity to determine the objective function, determine the key structural parameter combination to determine the decision variables and constraints, and then determine the optimal parameter combination through WOAGWO optimization calculation. Compared with the traditional manual optimization scheme of structural parameters, a more efficient parameter optimization scheme is achieved; compared with other optimization algorithms (such as WOA optimization algorithm or GWO optimization algorithm, etc.), the present invention has the advantages of higher efficiency and more accurate calculation. The three-pillar insulator 1 made according to the obtained optimal parameter combination can achieve better insulation performance.

[0079] A third aspect of the present invention provides a storage medium storing a computer program, wherein when the computer program is executed by a processor, the steps of implementing the method include:

[0080] S100, constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator 1;

[0081] S200, performing electrostatic field simulation of a three-pillar insulator based on the GIL model, determining a maximum first electric field intensity on the surface of the three-pillar insulator 1, a maximum second electric field intensity on the surface of the insert, and a combination of key structural parameters that affect electric field distribution;

[0082] S300: Construct an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, determine decision variables and constraints based on the key structural parameter combination, and perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0083] The storage medium of the present invention, when the computer program stored therein is executed by the processor, can implement the above-mentioned three-pillar insulator structural parameter optimization method, that is, first establish a GIL model, then perform electrostatic field simulation, calculate the maximum value of the first electric field intensity and the maximum value of the second electric field intensity to determine the objective function, determine the key structural parameter combination to determine the decision variables and constraints, and then determine the optimal parameter combination through WOAGWO optimization calculation. Compared with the traditional manual optimization scheme of structural parameters, a more efficient parameter optimization scheme is achieved; compared with other optimization algorithms (such as WOA optimization algorithm or GWO optimization algorithm, etc.), the present invention has the advantages of higher efficiency and more accurate calculation. The three-pillar insulator 1 made according to the obtained optimal parameter combination can achieve better insulation performance.

[0084] A fourth aspect of the present invention provides an electronic device, the electronic device including at least a memory and a processor, the memory storing a computer program, and the processor implementing the steps of the method when executing the computer program in the memory, including:

[0085] S100, constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator 1;

[0086] S200, performing electrostatic field simulation of a three-pillar insulator based on the GIL model, determining a maximum first electric field intensity on the surface of the three-pillar insulator 1, a maximum second electric field intensity on the surface of the insert, and a combination of key structural parameters that affect electric field distribution;

[0087] S300: Construct an objective function based on the first maximum electric field intensity and the second maximum electric field intensity, determine decision variables and constraints based on the key structural parameter combination, and perform WOAGWO optimization calculation to determine the optimal parameter combination.

[0088] The electronic device in the present invention, when the computer program in its memory is executed by the processor, can implement the above-mentioned three-pillar insulator structural parameter optimization method, that is, first establish a GIL model, then perform electrostatic field simulation, calculate the first electric field intensity maximum value and the second electric field intensity maximum value to determine the objective function, determine the key structural parameter combination to determine the decision variables and constraints, and then determine the optimal parameter combination through WOAGWO optimization calculation. Compared with the traditional manual optimization scheme of structural parameters, a more efficient parameter optimization scheme is achieved; compared with other optimization algorithms (such as WOA optimization algorithm or GWO optimization algorithm, etc.), the present invention has the advantages of higher efficiency and more accurate calculation. The three-pillar insulator 1 made according to the obtained optimal parameter combination can achieve better insulation performance.

[0089] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0090] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0091] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0092] In the embodiments provided in this application, it should be understood that the disclosed devices / terminal equipment and methods can be implemented in other ways. For example, the device / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is merely a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0093] If the integrated module is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, it can implement the steps of the above-mentioned motor torque control method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can include: any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media does not include electric carrier signals and telecommunication signals.

[0094] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for optimizing the structural parameters of a three-pillar insulator, characterized in that: include: Constructing a GIL model to be optimized based on the initial parameters of the three-pillar insulator, the GIL model including the three-pillar insulator, a center conductor, a particle trap, a grounded shell, and a high-voltage side shield; Performing an electrostatic field simulation of a three-pillar insulator based on the GIL model to determine a first maximum electric field intensity on the surface of the three-pillar insulator, a second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters that affect the electric field distribution, including applying a high potential to the center conductor, applying a zero potential to the grounded shell, the particle trap, and the insert, setting relative dielectric constants of the three-pillar insulator and the insulating gas, and calculating the first maximum electric field intensity and the second maximum electric field intensity through electrostatic field simulation; An objective function is constructed based on the maximum value of the first electric field intensity and the maximum value of the second electric field intensity, and decision variables and constraints are determined based on the key structural parameter combination to perform WOAGWO optimization calculation to determine the optimal parameter combination; the key structural parameter combination includes the key structural parameter combination of the insert and the key structural parameters of the entity ,in Represents the key structural parameters of the nth insert, Represents the key structural parameters of the nth entity; The constraints include first-stage constraints and second-stage constraints, wherein the first-stage constraints include: ； The second stage constraints include: ； Where, and They represent the lower and upper bounds of the key structural parameters of the nth insert, and They represent the lower bound and upper bound of the key structural parameters of the nth ontology respectively.

2. The method according to claim 1, characterized in that The electrostatic field simulation of the three-pillar insulator based on the GIL model is performed to determine the maximum first electric field intensity on the surface of the three-pillar insulator, the maximum second electric field intensity on the surface of the insert, and a combination of key structural parameters that affect the electric field distribution, including: Based on the degree of influence of each structural parameter in the structural parameter combination of the three-pillar insulator on the electric field distribution, a key structural parameter combination is determined.

3. The method according to claim 1, characterized in that The objective function includes a first-stage optimization objective function and a second-stage optimization objective function, wherein the first-stage optimization objective function includes: ； The second stage optimization objective function includes: ； Where, 、 are the field strength weight coefficients, is the maximum value of the first electric field strength, is the maximum value of the second electric field strength.

4. The method according to claim 1, wherein The WOAGWO optimization calculation to determine the optimal parameter combination includes: Presetting the number of individuals in the population, the maximum number of iterations, and setting the decision variables, the constraints, and the objective function; Initialize the population position and calculate the fitness of individuals; Record the location of the corresponding solution according to the fitness; Iteratively update the position of each individual, the fitness of the individual, and the location of each solution to determine whether the termination condition is met. If the termination condition is met, the optimal parameter combination is determined based on the solution of the latest iteration; otherwise, continue iterating.

5. The method according to claim 4, characterized in that The termination conditions include: The number of iterations reaches the maximum number of iterations, or the number of iterations in which the optimal solution α is not updated reaches the preset iteration threshold.

6. A three-pillar insulator structural parameter optimization device, characterized in that: Used to implement the method according to any one of claims 1 to 5, comprising: A modeling module is used to construct the GIL model to be optimized based on the initial parameters of the three-pillar insulator; a simulation module for performing electrostatic field simulation of a three-pillar insulator based on the GIL model, determining a first maximum electric field intensity on the surface of the three-pillar insulator, a second maximum electric field intensity on the surface of the insert, and a combination of key structural parameters that affect the electric field distribution; An optimization module is used to construct an objective function based on the first electric field intensity maximum value and the second electric field intensity maximum value, and determine decision variables and constraints based on the key structural parameter combination to perform WOAGWO optimization calculation to determine the optimal parameter combination.

7. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

8. An electronic device comprising at least a memory and a processor, wherein a computer program is stored in the memory, wherein: The processor implements the steps of the method of any one of claims 1 to 5 when executing the computer program on the memory.

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