COMSOL-based 220kv hollow porcelain insulator umbrella optimization method

Abstract

The application provides a 220KV hollow porcelain insulator umbrella optimization method based on COMSOL, which comprises the following steps: S1, setting geometric parameters of the hollow porcelain insulator; S2, importing the geometric parameters into COMSOL software to establish a simulation model of the hollow porcelain insulator; S3, carrying out grid division on the umbrella of the hollow porcelain insulator to form a plurality of grid units; S4, setting voltage boundary conditions of electric field distribution, and applying voltage to the simulation model of the hollow porcelain insulator through the COMSOL software; S5, calculating electric field distribution indexes of each grid unit, and determining an electric field distribution index of the entire simulation model of the hollow porcelain insulator based on the electric field distribution indexes of each grid unit; S6, adjusting the umbrella skirt parameters of the hollow porcelain insulator, and returning to step S2; S7, judging whether the adjustment times of the geometric parameters of the hollow porcelain insulator reach a set value, if yes, entering step S8; and S8, selecting the geometric parameters of the hollow porcelain insulator corresponding to the optimal electric field distribution index in multiple simulations as optimal parameters.

Description

Technical Field

[0001] This invention relates to a power optimization method, and more particularly to a COMSOL-based method for optimizing the umbrella shape of 220kV hollow porcelain insulators. Background Technology

[0002] Hollow porcelain insulators are widely used in modern 220kV power systems. One of the insulator's performance characteristics is its resistance to flashover due to pollution. When flashover occurs in an insulator, it will seriously affect the operational stability of the power system.

[0003] The impact of pollution flashover resistance on insulators is primarily reflected in the insulator's shed parameters. Current technology relies solely on manual pollution tests to optimize the shed parameters of hollow insulators. This method wastes manpower and resources. More importantly, manual testing is limited by testing conditions and the experience of the personnel, often resulting in inaccurate results. Consequently, the shed parameters of hollow porcelain insulators are not at their optimal state. In this situation, the pollution flashover resistance of hollow porcelain insulators cannot be resolved, making them prone to flashover and damage during actual operation, severely impacting the continuous and stable operation of the power system.

[0004] Therefore, in order to solve the above-mentioned technical problems, it is urgent to propose a new technical approach. Summary of the Invention

[0005] In view of this, the purpose of this invention is to provide a COMSOL-based method for optimizing the umbrella shape of 220kV hollow porcelain insulators. This method can effectively optimize the umbrella shape parameters of hollow porcelain insulators and improve the accuracy of the optimization results, thereby enhancing the flashover resistance of porcelain insulators. It can also effectively reduce the drawbacks of traditional methods, such as improving efficiency and accuracy, saving manpower and resources, and is not limited by experimental conditions during the optimization process, making it convenient for use and promotion.

[0006] This invention provides a COMSOL-based method for optimizing the umbrella shape of 220kV hollow porcelain insulators, comprising the following steps:

[0007] S1. Set the geometric parameters of the hollow porcelain insulator;

[0008] S2. Import the geometric parameters into COMSOL software to create a simulation model of the hollow porcelain insulator;

[0009] S3. Divide the umbrella shape of the hollow porcelain insulator into several grid units;

[0010] S4. Set the voltage boundary conditions for the electric field distribution, and apply voltage to the simulation model of the hollow porcelain insulator using COMSOL software;

[0011] S5. Calculate the electric field distribution index of each grid cell, and determine the electric field distribution index of the entire hollow porcelain insulator simulation model based on the electric field distribution index of each grid cell.

[0012] S6. Adjust the shed parameters of the hollow porcelain insulator and return to step S2;

[0013] S7. Determine whether the number of times the geometric parameters of the hollow porcelain insulator have been adjusted has reached the set value. If so, proceed to step S8.

[0014] S8. Select the geometric parameters of the hollow porcelain insulator corresponding to the optimal electric field distribution index as the optimal parameters in multiple simulations.

[0015] Furthermore, in step S1, the geometric parameters of the hollow porcelain insulator include the insulator structure height, core rod diameter, sheath thickness, shed diameter, shed spacing length, large shed extension dimension, small shed extension dimension, difference between the large and small shed extension dimensions, and shed inclination angle.

[0016] Furthermore, in step S1, the geometric parameters of the hollow insulator also include the outer diameter of the fitting and the height of the fitting.

[0017] Furthermore, the electric field distribution indicators include the maximum electric field strength along the umbrella skirt, the average electric field strength along the umbrella skirt, the electric field non-uniformity coefficient along the umbrella skirt, and the creepage coefficient.

[0018] Furthermore, determining the optimal electric field parameters includes:

[0019] S81. Filter out the cases where the electric field non-uniformity coefficient along the umbrella skirt is within the set threshold range during each simulation, and then proceed to step S82.

[0020] S82. Select simulation processes in which the creepage coefficient is within the set threshold range in the simulation process where the surface electric field non-uniformity coefficient is within the set threshold range, and proceed to step S83.

[0021] S83. In the simulation process that satisfies step S82, the geometric parameters corresponding to the simulation process with the minimum maximum electric field strength and the minimum average electric field strength along the umbrella skirt are selected as the optimal geometric parameters.

[0022] Furthermore, in step S83, if in the current simulation process the maximum electric field strength along the umbrella skirt is the minimum while the average electric field strength along the umbrella skirt is not the minimum, or the average electric field strength along the umbrella skirt is the minimum while the maximum electric field strength along the umbrella skirt is not the minimum, the selection process is as follows:

[0023] Among the parameters of the simulation process that satisfy step 82, the minimum value of the maximum electric field strength and the minimum value of the average electric field strength along the umbrella skirt are determined. The maximum electric field strength and the average electric field strength along the umbrella skirt in each simulation process are subtracted from the corresponding minimum value. The parameters corresponding to the simulation process in which the difference between the maximum electric field strength and the average electric field strength along the umbrella skirt and the corresponding minimum value are both within the set threshold range are taken as the optimal parameters.

[0024] The beneficial effects of this invention are as follows: This invention can effectively optimize the umbrella-shaped parameters of hollow porcelain insulators and improve the accuracy of the optimization results, thereby enhancing the pollution flashover resistance of porcelain insulators. It can also effectively reduce the drawbacks of traditional methods, such as improving efficiency and accuracy, saving manpower and resources. Furthermore, the optimization process is not limited by experimental conditions, making it convenient for use and promotion. Attached Figure Description

[0025] The present invention will be further described below with reference to the accompanying drawings and embodiments:

[0026] Figure 1 This is a flowchart of the present invention. Detailed Implementation

[0027] The present invention will be further described in detail below:

[0028] This invention provides a COMSOL-based method for optimizing the umbrella shape of 220kV hollow porcelain insulators, comprising the following steps:

[0029] S1. Set the geometric parameters of the hollow porcelain insulator; where: the geometric parameters of the hollow porcelain insulator include the insulator structure height, core rod diameter, sheath thickness, shed diameter, shed spacing length, large shed extension dimension, small shed extension dimension, difference in extension between large and small sheds, and shed inclination angle; it also includes the outer diameter and height of the fittings; of course, when setting the parameters, it is also necessary to set the material properties of the entire insulator, such as conductivity and relative permittivity;

[0030] S2. Import the geometric parameters into COMSOL software to create a simulation model of the hollow porcelain insulator;

[0031] S3. Divide the umbrella-shaped hollow porcelain insulator into several grid units.

[0032] S4. Set the voltage boundary conditions for the electric field distribution, and apply voltage to the simulation model of the hollow porcelain insulator using COMSOL software;

[0033] S5. Calculate the electric field distribution index of each grid cell, and determine the electric field distribution index of the entire hollow porcelain insulator simulation model based on the electric field distribution index of each grid cell; each grid is a rectangular structure. After obtaining the electric field distribution index of each grid cell (the calculation process adopts the existing process), the electric field distribution index of the entire hollow insulator is calculated by existing algorithms such as integration.

[0034] S6. Adjust the parameters of the sheds of the hollow porcelain insulator and return to step S2; the parameters to be adjusted include the shed diameter, shed spacing length, the overhang of the large shed, the overhang of the small shed, the difference between the overhang of the large shed and the small shed, and the shed tilt angle;

[0035] S7. Determine whether the number of times the geometric parameters of the hollow porcelain insulator have been adjusted has reached the set value. If so, proceed to step S8.

[0036] S8. Select the geometric parameters of the hollow porcelain insulator corresponding to the optimal electric field distribution index as the optimal parameters in multiple simulations. Through the above method, the umbrella-shaped parameters of the hollow porcelain insulator can be well optimized, and the accuracy of the umbrella-shaped parameter optimization results can be effectively improved, thereby improving the pollution flashover resistance of the porcelain insulator. It can also effectively reduce the drawbacks of traditional methods, such as improving efficiency and accuracy, saving manpower and material resources, and is not limited by experimental conditions during the optimization process, making it convenient for use and promotion.

[0037] In this embodiment, the electric field distribution indicators include the maximum electric field strength along the umbrella skirt, the average electric field strength along the umbrella skirt, the electric field non-uniformity coefficient along the umbrella skirt, and the creepage coefficient.

[0038] Specifically: Determining the optimal electric field parameters includes:

[0039] S81. Filter out the cases where the electric field non-uniformity coefficient along the umbrella skirt is within the set threshold range during each simulation, and then proceed to step S82.

[0040] S82. Select simulation processes in which the creepage coefficient is within the set threshold range in the simulation process where the surface electric field non-uniformity coefficient is within the set threshold range, and proceed to step S83.

[0041] S83. In the simulation process that satisfies step S82, the geometric parameters corresponding to the simulation process with the minimum maximum electric field strength and the minimum average electric field strength along the umbrella skirt are selected as the optimal geometric parameters.

[0042] In this embodiment, in step S83, if the maximum electric field strength along the umbrella skirt is the minimum while the average electric field strength along the umbrella skirt is not the minimum, or the average electric field strength along the umbrella skirt is the minimum while the maximum electric field strength along the umbrella skirt is not the minimum, that is, the minimum value of the maximum electric field strength along the umbrella skirt and the minimum value of the average electric field strength along the umbrella skirt are not in the same test process, then the optimal parameters are determined according to the following situation:

[0043] Among the parameters that satisfy step 82 of the simulation process, the minimum value of the maximum electric field strength and the minimum value of the average electric field strength along the umbrella skirt are determined. The minimum values ​​are then calculated by subtracting the maximum and average electric field strengths along the umbrella skirt from their respective minimum values ​​in each simulation process. The parameters corresponding to the simulation processes where the differences between the maximum and average electric field strengths along the umbrella skirt and their respective minimum values ​​are both within a set threshold range are taken as the optimal parameters. For example, if there are four sets of parameters A, B, C, and D that satisfy step S82, then the minimum electric field strength along the umbrella skirt in set A is... The field strength is the smallest. Group C has the smallest average field strength along the umbrella skirt surface. Therefore, for data A: the difference between the maximum and minimum electric field strength along the umbrella skirt surface is 0, and the difference between the average field strength along the umbrella skirt surface and the minimum average field strength along the umbrella skirt surface is A1. For data in group B: the difference between the maximum and minimum electric field strength along the umbrella skirt surface is B1, and the difference between the average field strength along the umbrella skirt surface and the minimum average field strength along the umbrella skirt surface is B2. For group C: the difference between the maximum and minimum electric field strength along the umbrella skirt surface is C1, and the difference between the average field strength along the umbrella skirt surface and the minimum average field strength along the umbrella skirt surface is 0. For group D: the difference between the maximum and minimum electric field strength along the umbrella skirt is D1, and the difference between the average electric field strength along the umbrella skirt and the minimum average electric field strength along the umbrella skirt is D2. The threshold values ​​for the maximum electric field strength difference along the umbrella skirt are set to [0, dc1] and the threshold values ​​for the average electric field strength difference along the umbrella skirt are set to [0, dc2]. By comparison, the differences between the maximum and minimum electric field strength along the umbrella skirt and the differences between the average electric field strength along the umbrella skirt and the minimum average electric field strength along the umbrella skirt in group D are within the threshold ranges of the two differences. Therefore, the umbrella-shaped parameters corresponding to the simulation process of group D are determined as the optimal parameters.

[0044] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method for optimizing the umbrella shape of 220kV hollow porcelain insulators based on COMSOL, characterized in that: Includes the following steps: S1. Set the geometric parameters of the hollow porcelain insulator; S2. Import the geometric parameters into COMSOL software to create a simulation model of the hollow porcelain insulator; S3. Divide the umbrella-shaped hollow porcelain insulator into several grid units. S4. Set the voltage boundary conditions for the electric field distribution, and apply voltage to the simulation model of the hollow porcelain insulator using COMSOL software; S5. Calculate the electric field distribution index of each grid cell, and determine the electric field distribution index of the entire hollow porcelain insulator simulation model based on the electric field distribution index of each grid cell. S6. Adjust the shed parameters of the hollow porcelain insulator and return to step S2; S7. Determine whether the number of times the geometric parameters of the hollow porcelain insulator have been adjusted has reached the set value. If so, proceed to step S8. S8. Select the geometric parameters of the hollow porcelain insulator corresponding to the optimal electric field distribution index as the optimal parameters in multiple simulations; Determining the optimal electric field parameters includes: S81. Filter out the cases where the electric field non-uniformity coefficient along the umbrella skirt is within the set threshold range during each simulation, and then proceed to step S82. S82. Select simulation processes in which the creepage coefficient is within the set threshold range in the simulation process where the surface electric field non-uniformity coefficient is within the set threshold range, and proceed to step S83. S83. In the simulation process that satisfies step S82, the geometric parameters corresponding to the simulation process with the minimum maximum electric field strength and the minimum average electric field strength along the umbrella skirt are selected as the optimal geometric parameters. If, in the current simulation process, the maximum electric field strength along the umbrella skirt is the minimum while the average electric field strength along the umbrella skirt is not the minimum, or the average electric field strength along the umbrella skirt is the minimum while the maximum electric field strength along the umbrella skirt is not the minimum, the selection process is as follows: Among the parameters of the simulation process that satisfy step S82, the minimum value of the maximum electric field strength and the minimum value of the average electric field strength along the umbrella skirt are determined. The maximum electric field strength and the average electric field strength along the umbrella skirt in each simulation process are subtracted from the corresponding minimum value. The parameters corresponding to the simulation process in which the difference between the maximum electric field strength and the average electric field strength along the umbrella skirt and the corresponding minimum value are both within the set threshold range are taken as the optimal parameters.

2. The method for optimizing the umbrella shape of 220kV hollow porcelain insulators based on COMSOL according to claim 1, characterized in that: In step S1, the geometric parameters of the hollow porcelain insulator include the insulator structure height, core rod diameter, sheath thickness, shed diameter, shed spacing length, large shed extension dimension, small shed extension dimension, difference in extension between large and small sheds, and shed inclination angle.

3. The method for optimizing the umbrella shape of 220kV hollow porcelain insulators based on COMSOL according to claim 2, characterized in that: In step S1, the geometric parameters of the hollow insulator also include the outer diameter of the fitting and the height of the fitting.

4. The method for optimizing the umbrella shape of 220kV hollow porcelain insulators based on COMSOL according to claim 1, characterized in that: The electric field distribution indicators include the maximum electric field intensity along the skirt surface, the average electric field intensity along the skirt surface, the electric field non-uniformity coefficient along the skirt surface, and the creepage coefficient.

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