A self-adaptive design method and device for a composite insulator variable cross-section grading ring

Abstract

The method comprises the following steps: performing benchmark electric field simulation on a target composite insulator by a preset composite insulator-conductor-tower three-dimensional finite element electric field simulation model and obtained relevant parameters, identifying an insulator high-strength sensitive area and corresponding spatial distribution characteristics, and determining core design variables and corresponding value intervals according to the spatial distribution characteristics; performing multi-objective optimization solving operation on the core design variables based on a preset multi-objective optimization function and the value intervals, to obtain an alternative solution set; calculating comprehensive scores of the alternative solution set, selecting a solution with the highest comprehensive score in the alternative solution set as a design scheme of a composite insulator variable cross-section grading ring, and outputting a variable cross-section grading ring design drawing and a parameter file. The method realizes fine regulation and control of the electric field in the high-field strength sensitive area, and realizes fast and accurate matching of the variable cross-section parameter and the electric field distribution of the insulator, so that the design precision is significantly improved.

Description

Technical Field

[0001] This disclosure relates to the field of high-voltage power transmission technology, and in particular to an adaptive design method and device for composite insulator variable cross-section equalizing rings. Background Technology

[0002] The equalizing ring is a core component for improving the electric field distribution of composite insulators. It reduces the local field strength by increasing the radius of curvature of the end fittings, thereby achieving uniformity of the electric field of the insulator string.

[0003] Currently, the industry generally uses circular pressure equalizing rings with equal cross-sections, and the design of circular pressure equalizing rings with equal cross-sections mainly relies on engineers' experience and trial and error, which has a number of defects.

[0004] Although there is some research on the structure of variable cross-section equalizing rings in the existing technology, it is impossible to achieve precise matching between the variable cross-section parameters and the electric field distribution of the insulator, and the design accuracy and optimization effect are difficult to guarantee. Summary of the Invention

[0005] To solve the above-mentioned technical problems, or at least partially solve them, this disclosure provides an adaptive design method and apparatus for composite insulator variable cross-section equalizing rings.

[0006] This disclosure provides an adaptive design method for a composite insulator variable cross-section equalizing ring, the method comprising: Obtain relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. Based on the high-strength sensitive area of ​​the insulator, the high-strength sensitive spatial distribution characteristics are identified, and the high-strength sensitive spatial distribution characteristics are input into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring to obtain the core design variables and the value ranges corresponding to the core design variables. Based on the preset multi-objective optimization function and the value range, multi-objective optimization is performed on the core design variables to obtain a set of alternative solutions; The comprehensive score of the candidate solution set is calculated according to the preset comprehensive rating formula. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme of the composite insulator variable cross-section equalizing ring. The design drawings and parameter files of the variable cross-section equalizing ring are output according to the design scheme.

[0007] The method provided in this disclosure acquires relevant parameters of a target composite insulator, performs a reference electric field simulation on the target composite insulator based on a preset three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower and the relevant parameters, and identifies the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level, and installation environment parameters, including: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

[0008] The method provided in this disclosure, which sets the finite element preprocessing configuration according to the relevant parameters, includes: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

[0009] The method provided in this disclosure identifies the spatial distribution characteristics of high-strength sensitive areas based on the high-strength sensitive areas of the insulator, inputs the high-strength sensitive spatial distribution characteristics into a preset parametric geometric model of a composite insulator variable cross-section equalizing ring, and obtains core design variables and the corresponding value ranges of the core design variables, including: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

[0010] The method provided in this disclosure performs multi-objective optimization on the core design variables based on a preset multi-objective optimization function and the value range, thereby obtaining a set of candidate solutions. The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, including: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

[0011] The method provided in this disclosure calculates a comprehensive score for the candidate solution set according to a preset comprehensive rating formula, selects the solution with the highest comprehensive score in the candidate solution set as the design scheme for the composite insulator variable cross-section equipotential ring, and outputs design drawings and parameter files for the variable cross-section equipotential ring according to the design scheme, including: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

[0012] This disclosure also provides an adaptive design device for a composite insulator variable cross-section equalizing ring, the device comprising: The acquisition module is used to acquire relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. The identification module is used to identify the high-strength sensitive spatial distribution characteristics based on the high-strength sensitive area of ​​the insulator, input the high-strength sensitive spatial distribution characteristics into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring, and obtain the core design variables and the value range corresponding to the core design variables. The solution module is used to perform multi-objective optimization on the core design variables based on a preset multi-objective optimization function and the value range, so as to obtain a set of alternative solutions; The output module is used to calculate the comprehensive score of the candidate solution set according to the preset comprehensive rating formula, select the solution with the highest comprehensive score in the candidate solution set as the design scheme of the composite insulator variable cross-section equalizing ring, and output the design drawings and parameter files of the variable cross-section equalizing ring according to the design scheme.

[0013] The apparatus provided in this disclosure, wherein the acquisition module is used for: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

[0014] The apparatus provided in this disclosure, wherein the acquisition module is used for: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

[0015] The apparatus provided in this disclosure, wherein the identification module is used for: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

[0016] The apparatus provided in this disclosure includes a solution module. The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, used for: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

[0017] The apparatus provided in this disclosure, wherein the output module is used for: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

[0018] The technical solution provided in this disclosure has the following advantages compared with the prior art: The adaptive design method for composite insulator variable cross-section equipotential rings provided in this disclosure involves performing a benchmark electric field simulation based on the relevant parameters of the target composite insulator, identifying the high-strength sensitive region of the target composite insulator, extracting the spatial distribution characteristics of the high-strength sensitive region from the insulator, and inputting them into the parameterized geometric model of the composite insulator variable cross-section equipotential ring to obtain the core design variables and their value ranges. Based on a preset multi-objective optimization function and value range, multi-objective optimization is performed on the core design variables to obtain a set of candidate solutions. A comprehensive score for the candidate solution set is calculated according to a preset comprehensive rating formula. After selecting and verifying the design scheme, the design drawings and parameter files of the variable cross-section equipotential ring are output. This method achieves refined control of the electric field in the high-field-strength sensitive region, accurately controlling the local field strength while providing sufficient corona suppression. It also achieves rapid and accurate matching between the variable cross-section parameters and the electric field distribution of the insulator, significantly improving design accuracy. Attached Figure Description

[0019] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and the originals and elements are not necessarily drawn to scale.

[0020] Figure 1 A flowchart illustrating the adaptive design method for composite insulator variable cross-section equalizing rings provided in this embodiment of the disclosure; Figure 2 This is a schematic diagram of the structure of the variable cross-section equalizing ring of the composite insulator provided in the embodiments of this disclosure; Figure 3 (a) is a schematic diagram of the electric field distribution of a common equalizing ring provided in an embodiment of this disclosure; Figure 3 (b) is a schematic diagram of the electric field distribution of the variable cross-section equalizing ring provided in the embodiments of this disclosure; Figure 4 This is a schematic diagram of the adaptive design device for composite insulator variable cross-section equalizing ring provided in an embodiment of this disclosure. Detailed Implementation

[0021] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0022] It should be understood that the steps described in the method embodiments of this disclosure may be performed in different orders and / or in parallel. Furthermore, the method embodiments may include additional steps and / or omit the steps shown. The scope of this disclosure is not limited in this respect.

[0023] The term "comprising" and its variations as used herein are open-ended inclusions, meaning "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Definitions of other terms will be given in the description below.

[0024] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0025] It should be noted that the terms "a" and "a plurality of" used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as "one or more".

[0026] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0027] To address the aforementioned issues, this disclosure provides an adaptive design method for composite insulator variable cross-section equalizing rings. The method will be described below with reference to specific embodiments.

[0028] Figure 1 This is a flowchart illustrating an adaptive design method for a composite insulator variable cross-section equalizing ring according to an embodiment of the present disclosure. The method can be executed by an adaptive design device for a composite insulator variable cross-section equalizing ring, wherein the device can be implemented in software and / or hardware, and is generally integrated into an electronic device.

[0029] Example 1: An adaptive design method for a composite insulator variable cross-section equalizing ring provided in this embodiment includes: S101: Obtain relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. S102: Identify the high-strength sensitive spatial distribution characteristics based on the high-strength sensitive area of ​​the insulator, input the high-strength sensitive spatial distribution characteristics into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring, and obtain the core design variables and the value range corresponding to the core design variables; S103: Based on the preset multi-objective optimization function and the value range, perform multi-objective optimization on the core design variables to obtain a set of alternative solutions; S104: Calculate the comprehensive score of the candidate solution set according to the preset comprehensive rating formula, select the solution with the highest comprehensive score in the candidate solution set as the design scheme of the composite insulator variable cross-section equalizing ring, and output the design drawings and parameter files of the variable cross-section equalizing ring according to the design scheme.

[0030] In this embodiment, the input of the three-dimensional finite element electric field simulation model of composite insulator-conductor-tower includes the geometric model of the simulation object, potential boundary conditions, and the configuration results of the air domain outside the model. The output of the model includes the simulation reference electric field distribution of the target composite insulator, which is the spatial distribution result of the electric field intensity calculated by three-dimensional finite element electric field simulation under given structural, voltage, and installation environment conditions. The model also includes electrical simulation boundary conditions, which are the rated phase voltage or DC operating voltage of the corresponding voltage level applied to the conductor side, the tower and grounding side hardware set to zero potential, and the outer boundary of the model set to an infinite electrical boundary.

[0031] In this embodiment, the structural parameters include structural height, creepage distance, skirt parameters, core rod diameter, and end fitting dimensions; the voltage level includes 110kV~1000kV AC voltage level or ±500kV~±1100kV DC voltage level; the installation environment parameters describe the actual operating environment conditions of the target composite insulator, including tower type, conductor specifications, altitude, and relative permittivity of the environment.

[0032] In this embodiment, the high-intensity sensitive area of ​​the insulator refers to the area with abnormally high electric field strength marked after comparing the field strength with the threshold. This includes the weak parts of the body where the surface field strength exceeds the acceptable field strength of the material and the weak air insulation areas where the field strength of the surrounding space exceeds the corona initiation threshold. For example, the area where the peak field strength exceeds 18kV / cm under AC conditions and exceeds 20kV / cm under DC conditions.

[0033] In this embodiment, the core design variables are a set of key parameters, including the outer diameter of the equalizing ring, the installation height, the horizontal distance between the ring and the insulator axis, the cross-sectional diameter at different positions around the ring, the radius of curvature of the cross-section, and the length of the smooth transition section of the cross-section.

[0034] In this embodiment, in the parameterized geometric model of the variable cross-section equalizing ring, the ring cross-section is any one of circular, elliptical or streamlined. The ring is provided with a continuous or segmented variable cross-section structure along the circumferential or axial direction. The position of the ring corresponding to the high field strength sensitive area is set as an optimized segment whose cross-section can be independently adjusted.

[0035] In this embodiment, the high-intensity sensitive spatial distribution characteristics are related information about the location, range, and degree of field strength exceeding the limit of the high-intensity sensitive area of ​​the insulator in three-dimensional space, including the distribution range of the sensitive area along the insulator axis, the extension distance along the shed radial direction, and the amplitude classification of the field strength exceeding the corresponding threshold.

[0036] In this embodiment, the input to the parameterized geometric model of the composite insulator variable cross-section equalizing ring is the variable cross-section configuration scheme selected by the parameterization strategy and the high-strength sensitive spatial distribution characteristics, including the axial position range of the sensitive area, the over-limit amplitude of the field strength, and the direction of cross-section change; the output is the cross-section control dimension corresponding to the high-strength sensitive area of ​​the insulator and the key parameter set of the variable cross-section equalizing ring.

[0037] In this embodiment, the design drawings and parameter files for the variable cross-section equipotential ring are the final design deliverables. The design drawings include three views of the variable cross-section equipotential ring, detailed cross-sectional changes, and installation dimension annotations; the parameter files include the final values ​​of core design variables, material specifications, and applicable composite insulator models, etc.

[0038] In this embodiment, the alternative solution set is a combination of non-dominated feasible solutions obtained during the iterative adjustment process. Each solution forms a Pareto front among the four sub-objectives, and all are within the value range and satisfy the constraints.

[0039] In this embodiment, the performance of the core design variables is evaluated based on a preset multi-objective optimization function. Within a range of values, a preset algorithm is used to iteratively adjust the numerical combination of the core design variables to obtain a set of alternative solutions.

[0040] This embodiment takes a suspension composite insulator for a 500kV AC transmission line as the design object and uses the method described in this invention to perform adaptive design of a variable cross-section equalizing ring. The specific implementation steps are as follows: First, obtain the basic parameters of the target composite insulator: structural height 4450mm, creepage distance 12000mm, core rod diameter 34mm, large umbrella skirt diameter 180mm, small umbrella skirt diameter 140mm, umbrella spacing 100mm, and the length of the end fittings on the conductor side and the grounding side is 250mm. The application scenario is a 500kV AC transmission line with a rated phase voltage of 318kV, an altitude of 500m, a goblet-shaped tower, and 4-split LGJ-400 / 35 conductors. A three-dimensional finite element electric field simulation model of composite insulator-conductor-tower was constructed using COMSOL Multiphysics finite element simulation software. In the model, the relative permittivity of the composite insulator core rod and sheds was set to 6 and 4.2, respectively, and the relative permittivity of air was set to 1. The simulation boundary conditions were set as follows: a peak value of 500kV AC rated phase voltage was applied to the conductor side, the tower and grounding hardware were set to zero potential, and the outer boundary of the model was set as a spherical infinite element boundary to eliminate the influence of boundary effects. Reference models without equipotential rings and traditional equal-section equipotential rings (pipe diameter 50mm, outer diameter of ring body 370mm, installation height 50mm) were built respectively to perform electric field numerical simulation and obtain reference data of electric field distribution. Simulation results show that without the equalizing ring, the maximum electric field strength on the shed surface reaches 35.2 kV / cm, far exceeding the electric field strength control threshold of the insulation material. After the installation of the traditional equalizing ring with uniform cross-section, the maximum electric field strength on the conductor-side shed drops to 5.42 kV / cm, and the maximum electric field strength on the equalizing ring surface is 24.2 kV / cm, exceeding the corona initiation electric field strength threshold, posing a risk of corona discharge. The high-field-strength sensitive areas are mainly concentrated on the shed surface of the high-voltage end of the insulator and the outer upper arc surface of the equalizing ring near the insulator, which is the core control area for this optimization. Based on the distribution characteristics of the high-field-strength sensitive areas, a parametric geometric model of the circumferentially segmented variable cross-section equalizing ring is constructed. The ring cross-section is circular, with the inner half-ring near the insulator being a large-diameter section and the outer half-ring away from the insulator being a small-diameter section. The two sections are connected by a smooth transition section. The structural schematic diagram is shown below. Figure 2As shown. The core design variables and their value ranges include: outer diameter D of the equalizing ring: 370mm~600mm; pipe diameter r: 15mm~50mm; installation height H: 50mm~200mm; vertical section L1: 20mm~50mm; horizontal section L2: 20mm~50mm. The objective functions for multi-objective optimization include F1: min (maximum electric field strength on the surface of the equalizing ring), F2: min (maximum electric field strength on the surface of the high-voltage end sheds of the insulator), and F3: min (axial electric field non-uniformity of the insulator string). Constraints are set as follows: maximum electric field strength on the surface of the equalizing ring ≤ 20kV / cm, maximum electric field strength on the end sheds of the insulator ≤ 4kV / cm. A Python script was used to couple the COMSOL simulation model with the Adaptive Particle Swarm Optimization (APSO) algorithm. Algorithm parameters were set as follows: population size 50, maximum number of iterations 100, initial inertia weight 0.9, adaptively reduced to 0.4 at the end of the iteration, and learning factors c1 and c2 adaptively adjusted within the range of 0.5 to 2.5. The iteration termination condition was: reaching the maximum number of iterations, or the rate of change of the objective function value of the optimal solution for 20 consecutive iterations being less than 0.1%. During algorithm execution, the script automatically updated design variables, drove the COMSOL software to complete geometric model updates, mesh generation, electric field simulation, and result extraction, fed the simulation results back to the optimization algorithm, completed iterative optimization, and finally output a Pareto optimal solution set containing 20 optimal solutions. The entropy weight method was used to assign weights to each objective function: F1 weight 0.5, F2 weight 0.35, F3 weight 0.15. The comprehensive score of each Pareto optimal solution was calculated, and the design scheme with the highest comprehensive score was selected. Its core parameters are: outer diameter of equalizing ring D=450mm, pipe diameter r=30mm, installation height H=100mm, vertical section L1=80mm, and horizontal section L2=30mm. The electric field distribution results are as follows: the maximum electric field strength on the surface of the insulator skirt is 3.65 kV / cm, which is 32.6% lower than that of the traditional equalizing ring with uniform cross-section; the maximum electric field strength on the surface of the equalizing ring is 19.5 kV / cm, which is lower than the corona initiation electric field strength threshold and is 19.4% lower than that of the traditional scheme; the axial electric field non-uniformity of the insulator string is reduced from 3.8 to 2.2, and the uniformity of the electric field distribution is greatly improved; at the same time, the electric field simulation under switching overvoltage and lightning overvoltage conditions, as well as the mechanical strength verification under wind load and self-weight load, are carried out on this scheme. All performance indicators meet the requirements of the engineering specifications. The design drawings, parameter files and performance reports of the variable cross-section equalizing ring are output.

[0041] In this embodiment, as Figure 3 (a) shows a schematic diagram of the electric field distribution of a typical equalizing ring, as follows: Figure 3 (b) shows a schematic diagram of the electric field distribution of the variable cross-section equalizing ring. Compared with the traditional circular equalizing ring, the variable cross-section equalizing ring reduces the peak value in the high field strength region by locally increasing the radius of curvature, while appropriately reducing the cross-section in the low field strength region, so as to achieve a more uniform distribution of field strength in the whole region.

[0042] The working principle and beneficial effects of this embodiment are as follows: A reference electric field simulation is performed based on the relevant parameters of the target composite insulator to identify high-intensity sensitive areas. The spatial distribution characteristics of these high-intensity sensitive areas are extracted and input into the parameterized geometric model of the variable cross-section equalizing ring of the composite insulator, yielding core design variables and their value ranges. Based on a preset multi-objective optimization function and value range, multi-objective optimization is performed on the core design variables to obtain a set of candidate solutions. A comprehensive score for the candidate solution set is calculated according to a preset comprehensive rating formula. After selecting and verifying the design scheme, the design drawings and parameter files of the variable cross-section equalizing ring are output. This achieves refined control of the electric field in high-intensity sensitive areas, accurately controlling the local field strength while providing sufficient corona suppression. It also achieves rapid and accurate matching between the variable cross-section parameters and the electric field distribution of the insulator, significantly improving design accuracy and optimization effect.

[0043] Example 2: The method provided in this embodiment of the present disclosure obtains relevant parameters of the target composite insulator, performs a reference electric field simulation on the target composite insulator based on a preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identifies the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level, and installation environment parameters, including: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

[0044] In this embodiment, a simulation object of the target composite insulator is constructed based on structural parameters. The rated phase voltage on the high-voltage end conductor and fittings is determined according to the voltage level of the application scenario to determine the potential boundary conditions. The external air domain of the model is configured according to the installation environment parameters to obtain the environmental configuration results. The finite element preprocessing configuration is determined based on the simulation object, potential boundary conditions and environmental configuration results.

[0045] In this embodiment, the simulated reference electric field distribution refers to the electric field intensity distribution on the surface of the composite insulator and the surrounding space obtained by solving the three-dimensional finite element electrostatic field under the conditions of rated phase voltage, actual installation environment parameters and complete geometric model.

[0046] In this embodiment, the surface field strength data is the electric field strength value extracted from the simulated reference electric field distribution along the outer contour of the composite insulator, covering each node on the surface of the skirt, sheath and end fittings; the surrounding space field strength data is the electric field strength value sampled and extracted from the simulated reference electric field distribution in the air domain adjacent to the composite insulator.

[0047] In this embodiment, the corona initiation threshold is the critical electric field strength for air to undergo corona discharge, calculated based on installation environment parameters, and obtained by combining an engineering empirical formula with corrections for atmospheric pressure, temperature, and humidity.

[0048] In this embodiment, the acceptable field strength of the material is the maximum electric field strength that the structural material of the composite insulator can withstand under long-term safe operation.

[0049] In this embodiment, the surface field strength data is compared point by point with the acceptable field strength of the material, and the locations exceeding the allowable value are marked as material overload areas; the surrounding space field strength data is compared point by point with the corona initiation threshold, and the locations exceeding the critical value are marked as corona risk areas.

[0050] The working principle and beneficial effects of this embodiment are as follows: Based on the relevant parameters of the target composite insulator, a finite element preprocessing configuration is set. Structural parameters, application scenario voltage levels, and installation environment parameters are input into the three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower to perform a baseline electric field simulation. The simulation baseline electric field distribution is obtained, and surface field strength data and surrounding spatial field strength data are extracted. These are compared with the corona initiation threshold and acceptable field strength of the material determined based on the installation environment parameters. Based on the comparison results, high-intensity sensitive areas of the insulator are marked. This accurately identifies and marks high-intensity sensitive areas of the insulator, avoiding reliance on manual experience and improving the objectivity and efficiency of electric field safety assessment.

[0051] Example 3: The method provided in this embodiment of the present disclosure, which sets the finite element preprocessing configuration according to the relevant parameters, includes: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

[0052] In this embodiment, the process of determining the rated phase voltage on the high-voltage end conductor and fittings is to obtain the nominal line voltage based on the voltage level of the application scenario, and calculate the effective value of the rated phase voltage through the conversion relationship between line voltage and phase voltage.

[0053] In this embodiment, the outer air domain of the model is the far-field air calculation region that encloses the composite insulator, conductor, hardware and tower end accessories. A sufficiently large spherical or cuboid domain is used to truncate the infinitely open space, and the outer boundary is set with a zero potential condition to simulate the electric field attenuation of the ground and infinity.

[0054] In this embodiment, the environmental configuration result is the result of converting the altitude, atmospheric pressure, temperature and humidity in the installation environment parameters into physical property parameters such as the relative permittivity and conductivity of air, and configuring the air domain outside the model.

[0055] The working principle and beneficial effects of this embodiment are as follows: a simulation object of the target composite insulator is constructed based on structural parameters; the rated phase voltage on the high-voltage conductor and fittings is determined according to the voltage level of the application scenario to determine the potential boundary conditions; the external air domain of the model is configured according to the installation environment parameters to obtain the environmental configuration result; and the finite element preprocessing configuration is determined based on the simulation object, potential boundary conditions and environmental configuration result. This realizes that the finite element preprocessing configuration is automatically generated by structural parameters, application scenario voltage level and installation environment parameters, so that the configuration of the simulation object, potential boundary conditions and external air domain is consistent with the actual working conditions, improves the standardization and parameterization driving capability of the three-dimensional finite element electric field simulation model of composite insulator-conductor-tower, and reduces manual setting deviations.

[0056] Example 4: The method provided in this embodiment identifies the spatial distribution characteristics of high-strength sensitive areas based on the high-strength sensitive areas of the insulator, inputs the high-strength sensitive spatial distribution characteristics into a preset parametric geometric model of a composite insulator variable cross-section equalizing ring, and obtains core design variables and the corresponding value ranges of the core design variables, including: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

[0057] In this embodiment, the preset parameterization strategy table is a data table that stores the mapping rules between the high-intensity sensitive spatial distribution characteristics and the variable cross-section configuration of the equalizing ring. Based on whether the sensitive area is located on the conductor side, the grounding side, or the middle section of the insulator string, and the field strength exceeds the limit, the corresponding cross-section adjustment direction and amplitude strategy entries are indexed.

[0058] In this embodiment, the target composite insulator equalization ring is an electric field equalization shielding metal component configured for the composite insulator being analyzed. It is installed near the high-voltage end or the grounding end and reduces the peak electric field strength on the surface of the insulator and in the surrounding space by changing the local electric field distribution, thereby suppressing corona discharge.

[0059] In this embodiment, the variable cross-section configuration strategy is a scheme for changing the cross-section of the equalizing ring selected based on the characteristics of the high-strength sensitive spatial distribution. It specifies the method and adjustment dimension for different positions of the pipe diameter, cross-sectional shape or ring curvature along the circumference, in order to match the spatial distribution requirements of the sensitive area.

[0060] In this embodiment, the cross-section control dimension is an independent geometric degree of freedom in the parametric geometric model that controls the axial or circumferential variation of the equalizing ring cross-section, including the direction of cross-section diameter change, the direction of cross-section ellipticity adjustment, and the control dimension of changes along the ring body arc length or position.

[0061] In this embodiment, key parameters include the outer diameter of the equalizing ring, the installation height, the horizontal distance between the ring and the insulator axis, the cross-sectional diameter at different positions around the ring, the radius of curvature of the cross-section, and the length of the smooth transition section of the cross-section.

[0062] In this embodiment, the value range is the upper and lower bounds of the core design variables, which are set based on manufacturing process constraints, structural interference conditions, and electric field control experience.

[0063] The working principle and beneficial effects of this embodiment are as follows: By analyzing the high-strength sensitive area of ​​the insulator, the spatial distribution characteristics of the high-strength sensitive area are determined. Based on the spatial distribution characteristics of the high-strength sensitive area, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from a preset parameterized strategy table. The parameterized strategy and the spatial distribution characteristics of the high-strength sensitive area are input into the parameterized geometric model of the composite insulator variable cross-section equalizing ring to determine the cross-section control dimension and key parameters. The key parameters are combined to obtain the core design variables and their value ranges. This realizes the automatic driving of the parameterized design of the variable cross-section equalizing ring by the spatial distribution characteristics of the high-strength sensitive area of ​​the insulator. The electric field sensitivity characteristics are directly mapped to the cross-section control dimension and the value range of the core design variables, so that the equalizing ring configuration accurately corresponds to the weak electric field area, improving the pertinence of the equalizing effect design and the automation level of design variable generation.

[0064] Example 5: The method provided in this embodiment of the present disclosure performs multi-objective optimization on the core design variables based on a preset multi-objective optimization function and the value range, to obtain a set of candidate solutions. The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, including: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

[0065] In this embodiment, minimizing the maximum electric field strength on the surface of the equalizing ring is achieved by using the maximum electric field strength of each node on the surface of the equalizing ring as the objective function; minimizing the maximum electric field strength on the surface of the high-voltage end shed of the insulator is achieved by using the maximum electric field strength on the surface of the conductor-side fittings on the high-voltage end of the insulator as the objective function; and minimizing the axial electric field non-uniformity of the insulator string is achieved by using the degree of difference in electric field strength borne by each shed unit along the axial direction of the insulator string as the objective function.

[0066] In this embodiment, the performance evaluation process involves substituting the numerical combination of core design variables into a parameterized geometric model to generate an equalizing ring configuration, dividing the equalizing ring configuration into a grid, applying potential boundary conditions and environmental configurations for simulation, and extracting multiple objective function values ​​from the simulation results.

[0067] In this embodiment, the numerical combination is a set of specific values ​​of a core design variable selected by a preset algorithm within the value range, and each numerical combination corresponds to a variable cross-section equalizing ring geometry.

[0068] In this embodiment, the preset algorithm is any one of the adaptive particle swarm optimization algorithm, adaptive genetic algorithm, and adaptive differential evolution algorithm. The adaptive adjustment rule of the algorithm is as follows: based on the number of iterations and the population convergence, the values ​​of inertia weight, crossover probability, and mutation probability are automatically adjusted. In the early stage of iteration, the search range is expanded to avoid local optima, and in the later stage of iteration, the search step size is reduced to improve the solution accuracy. The iteration termination condition is: reaching the preset maximum number of iterations, or the rate of change of the objective function value of the optimal solution for N consecutive generations is less than the preset convergence threshold.

[0069] The working principle and beneficial effects of this embodiment are as follows: Performance evaluation of core design variables is performed based on a preset multi-objective optimization function. Within a defined range of values, a preset algorithm iteratively adjusts the numerical combinations of the core design variables to obtain a candidate solution set. By iteratively generating the candidate solution set using the preset algorithm, the design efficiency and solution quality of the voltage equalization ring, which considers multiple objectives, are improved.

[0070] Example 6: The method provided in this embodiment calculates the comprehensive score of the candidate solution set according to a preset comprehensive rating formula, selects the solution with the highest comprehensive score in the candidate solution set as the design scheme for the composite insulator variable cross-section equipotential ring, and outputs design drawings and parameter files for the variable cross-section equipotential ring according to the design scheme, including: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

[0071] In this embodiment, the calculation process of the preset comprehensive rating formula is to use the analytic hierarchy process or the entropy weight method to set weight coefficients for each objective function, calculate the comprehensive score of the solution, and select the scheme with the highest comprehensive score as the design scheme.

[0072] In this embodiment, the weights are automatically determined based on the degree of dispersion of each objective function value in the candidate solution set, reflecting the importance of each objective function in the comprehensive evaluation. A higher degree of dispersion indicates a stronger ability of the objective function to distinguish the solution set, thus assigning it a higher weight; conversely, a lower degree of dispersion indicates that the solution set does not differ significantly on that objective, thus assigning it a lower weight.

[0073] In this embodiment, the comprehensive score is a single evaluation value obtained by weighting and summing all objective function values ​​of each solution group according to their respective assigned weights. First, each objective function value is normalized to the same dimension range, then multiplied by the corresponding assigned weight and accumulated to finally obtain a comparable quantitative score, which is used for ranking and selection.

[0074] The working principle and beneficial effects of this embodiment are as follows: The weights assigned to the corresponding objective functions are determined based on the dispersion of each objective function value in the candidate solution set. All objective function values ​​and their corresponding weights for each solution group are substituted into a preset comprehensive rating formula to obtain a comprehensive score. The solution with the highest comprehensive score is selected as the design scheme. The design scheme undergoes full-condition electric field simulation verification and mechanical performance check. When both the verification and check results are compliant, the design drawings and parameter files for the variable cross-section equalizing ring are output. This achieves adaptive weight allocation and comprehensive score filtering based on the dispersion of objective function values, automatically determining the design scheme. Through electric field simulation verification under rated operating voltage, switching overvoltage, and lightning overvoltage conditions, as well as structural strength checks under wind load, icing load, and self-weight load, the electrical and mechanical performance of the design scheme under multiple operating conditions is ensured to be compliant, directly outputting usable design drawings and parameter files.

[0075] To achieve the above embodiments, this disclosure also proposes an adaptive design device for composite insulator variable cross-section equalizing rings.

[0076] Figure 4 This is a schematic diagram of the adaptive design device for a composite insulator variable cross-section equalizing ring provided in an embodiment of this disclosure. This device 200 can be implemented by software and / or hardware, and is generally integrated into electronic equipment. Figure 4 As shown, the device 200 includes: an acquisition module 201, an identification module 202, a solution module 203, and an output module 204, wherein, The acquisition module 201 is used to acquire relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on a preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. The identification module 202 is used to identify the high-strength sensitive spatial distribution characteristics based on the high-strength sensitive area of ​​the insulator, input the high-strength sensitive spatial distribution characteristics into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring, and obtain the core design variables and the value range corresponding to the core design variables. The solution module 203 is used to perform multi-objective optimization on the core design variables based on a preset multi-objective optimization function and the value range to obtain a set of alternative solutions. Output module 204 is used to calculate the comprehensive score of the candidate solution set according to the preset comprehensive rating formula, select the solution with the highest comprehensive score in the candidate solution set as the design scheme of the composite insulator variable cross-section equalizing ring, and output the design drawings and parameter files of the variable cross-section equalizing ring according to the design scheme.

[0077] The apparatus provided in this disclosure, wherein the acquisition module 201 is used for: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

[0078] The apparatus provided in this disclosure, wherein the acquisition module 201 is used for: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

[0079] The apparatus provided in this disclosure, wherein the identification module 202 is used for: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

[0080] The apparatus provided in this embodiment includes a solution module 203. The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, used for: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

[0081] The apparatus provided in this disclosure embodiment includes an output module 204, which is used for: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

[0082] The adaptive design device for composite insulator variable cross-section equalizing rings provided in this disclosure can execute the adaptive design method for composite insulator variable cross-section equalizing rings provided in any embodiment of this disclosure, and has the corresponding functional modules and beneficial effects of the method.

[0083] To implement the above embodiments, this disclosure also proposes a computer program product, including a computer program / instruction, which, when executed by a processor, implements the adaptive design method for composite insulator variable cross-section equalizing rings in the above embodiments.

[0084] To implement the above embodiments, this disclosure also proposes an electronic device, including: a processor; a memory for storing executable instructions of the processor; and a processor for reading the executable instructions from the memory and executing the instructions to implement the adaptive design method for composite insulator variable cross-section equalizing rings as provided in the embodiments of this disclosure.

[0085] To implement the above embodiments, this disclosure also proposes a computer-readable storage medium storing a computer program for executing the adaptive design method of composite insulator variable cross-section equalizing ring as provided in the embodiments of this disclosure.

[0086] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0087] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0088] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0089] The aforementioned computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to perform the aforementioned adaptive design method for composite insulator variable cross-section equalizing rings.

[0090] Electronic devices can be programmed with computer program code in one or more programming languages ​​or combinations thereof to perform the operations of this disclosure. These programming languages ​​include, but are not limited to, object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as "C" or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0091] The flowcharts and block diagrams in the accompanying drawings illustrate the formulaic architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0092] The units described in the embodiments of this disclosure can be implemented in software or hardware. The names of the units are not, in some cases, intended to limit the specific unit.

[0093] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0094] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0095] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

[0096] Furthermore, while the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.

[0097] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. An adaptive design method for composite insulator variable cross-section equalizing rings, characterized in that, include: Obtain relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. Based on the high-strength sensitive area of ​​the insulator, the high-strength sensitive spatial distribution characteristics are identified, and the high-strength sensitive spatial distribution characteristics are input into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring to obtain the core design variables and the value ranges corresponding to the core design variables. Based on the preset multi-objective optimization function and the value range, multi-objective optimization is performed on the core design variables to obtain a set of alternative solutions; The comprehensive score of the candidate solution set is calculated according to the preset comprehensive rating formula. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme of the composite insulator variable cross-section equalizing ring. The design drawings and parameter files of the variable cross-section equalizing ring are output according to the design scheme.

2. The method according to claim 1, characterized in that, Obtain relevant parameters of the target composite insulator, and perform a reference electric field simulation of the target composite insulator based on a preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters. Identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level, and installation environment parameters, including: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

3. The method according to claim 2, characterized in that, The finite element preprocessing configuration is set according to the relevant parameters, including: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

4. The method according to claim 1, characterized in that, Based on the identification of the high-strength sensitive spatial distribution characteristics of the insulator's high-strength sensitive area, these characteristics are input into a preset parametric geometric model of the composite insulator's variable cross-section equalizing ring to obtain core design variables and their corresponding value ranges, including: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

5. The method according to claim 1, characterized in that, Based on a preset multi-objective optimization function and the specified value range, multi-objective optimization is performed on the core design variables to obtain a set of candidate solutions. The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, including: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

6. The method according to claim 5, characterized in that, The comprehensive score of the candidate solution set is calculated according to the preset comprehensive rating formula. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equipotential ring. Based on the design scheme, the design drawings and parameter files of the variable cross-section equipotential ring are output, including: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

7. An adaptive design device for a composite insulator variable cross-section equalizing ring, characterized in that, include: The acquisition module is used to acquire relevant parameters of the target composite insulator, perform a reference electric field simulation on the target composite insulator based on the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower and the relevant parameters, and identify the high-strength sensitive area of ​​the target composite insulator. The relevant parameters include structural parameters, application scenario voltage level and installation environment parameters. The identification module is used to identify the high-strength sensitive spatial distribution characteristics based on the high-strength sensitive area of ​​the insulator, input the high-strength sensitive spatial distribution characteristics into the preset parameterized geometric model of the composite insulator variable cross-section equalizing ring, and obtain the core design variables and the value range corresponding to the core design variables. The solution module is used to perform multi-objective optimization on the core design variables based on a preset multi-objective optimization function and the value range, so as to obtain a set of alternative solutions; The output module is used to calculate the comprehensive score of the candidate solution set according to the preset comprehensive rating formula, select the solution with the highest comprehensive score in the candidate solution set as the design scheme of the composite insulator variable cross-section equalizing ring, and output the design drawings and parameter files of the variable cross-section equalizing ring according to the design scheme.

8. The apparatus according to claim 7, characterized in that, The acquisition module is used for: Obtain relevant parameters of the target composite insulator, set the finite element preprocessing configuration according to the relevant parameters, input the preset three-dimensional finite element electric field simulation model of composite insulator-conductor-tower based on the finite element preprocessing configuration, perform a reference electric field simulation on the target composite insulator, and obtain the simulation reference electric field distribution of the target composite insulator; The surface field strength data and surrounding space field strength data of the target composite insulator are extracted from the simulated reference electric field distribution. The corona initiation threshold and the acceptable field strength of the material are determined according to the installation environment parameters in the relevant parameters. The corona initiation threshold, the acceptable field strength of the material, and the surface field strength data are compared with the surrounding space field strength data. The high-intensity sensitive area of ​​the insulator is marked according to the comparison results.

9. The apparatus according to claim 8, characterized in that, The acquisition module is used for: Based on the structural parameters in the relevant parameters of the target composite insulator, a simulation object of the target composite insulator is constructed using a three-dimensional finite element electric field simulation model of the composite insulator-conductor-tower. Based on the application scenario voltage level in the relevant parameters of the target composite insulator, determine the rated phase voltage on the high-voltage end conductor and fittings of the target composite insulator, and determine the electrical simulation boundary conditions based on the rated phase voltage; Based on the installation environment parameters in the relevant parameters of the target composite insulator, configure the external air domain of the model to obtain the environmental configuration result; The finite element preprocessing configuration is determined based on the simulation object, electrical simulation boundary conditions, and environmental configuration results.

10. The apparatus according to claim 7, characterized in that, The identification module is used for: The high-intensity sensitive area of ​​the insulator was analyzed to determine the spatial distribution characteristics of the high-intensity sensitive area; Based on the high-intensity sensitive spatial distribution characteristics, the variable cross-section configuration strategy of the target composite insulator equalizing ring is matched from the preset parameterized strategy table; Based on the parameterization strategy and the high-strength sensitive spatial distribution characteristics, the parameterized geometric model of the composite insulator variable cross-section equalizing ring is input. The cross-section control dimension of the high-strength sensitive area of ​​the insulator is determined. Based on the cross-section control dimension, the key parameters of the parameterized geometric model of the variable cross-section equalizing ring are obtained. The key parameters are combined to obtain the core design variables and the corresponding value ranges of the core design variables.

11. The apparatus according to claim 7, characterized in that, The solution module, The preset multi-objective optimization function includes minimizing the maximum electric field strength on the surface of the equalizing ring, minimizing the maximum electric field strength on the surface of the high-voltage end sheds of the insulator, and minimizing the axial electric field non-uniformity of the insulator string, used for: The core design variables are evaluated based on the preset multi-objective optimization function. Within the range of values ​​defined by the preset algorithm, the numerical combinations of the core design variables are iteratively adjusted to obtain a set of alternative solutions.

12. The apparatus according to claim 11, characterized in that, The output module is used for: The weights assigned to the corresponding objective functions are determined based on the degree of dispersion of the values ​​of each objective function in the candidate solution set. Substitute all objective function values ​​and corresponding allocation weights of each solution in the candidate solution set into the preset comprehensive rating formula to obtain the comprehensive score of each solution in the candidate solution set. The solution with the highest comprehensive score in the candidate solution set is selected as the design scheme for the composite insulator variable cross-section equalizing ring; The design scheme is verified by full-condition electric field simulation and mechanical performance check. The full-condition electric field simulation verification includes electric field distribution simulation under rated operating voltage, switching overvoltage, and lightning overvoltage conditions. The mechanical performance check includes structural strength check under wind load, icing load, and self-weight load. If the verification results and check results are both compliant, the design drawings and parameter files of the variable cross-section equalizing ring are output.

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