Application of Particle Swarm Optimization Algorithm to Configuration Optimization of Grading Rings for Arrester

JIANG Zhipeng; WEN Xishan; LAN Lei; AN Ran; YUANG Xiaoqing; ZHOU Guangyuan

doi:10.13296/j.1001-1609.hva.2014.01.019

您当前的位置：

首页 >

文章列表页 >

Application of Particle Swarm Optimization Algorithm to Configuration Optimization of Grading Rings for Arrester

更新时间：2025-04-26

- Application of Particle Swarm Optimization Algorithm to Configuration Optimization of Grading Rings for Arrester
- High VoltageApparatus Vol. 50, Issue 1, Pages: 102-106(2014)
- 作者机构：
  
  武汉大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2014.01.019
  CLC： TM862.1
- Published：2014
- 稿件说明：
移动端阅览
[1]姜志鹏,文习山,蓝磊,安然,袁小清,周光远.粒子群算法应用于避雷器均压环配置优化[J].高压电器,2014,50(01):102-106.

JIANG Zhipeng, WEN Xishan, LAN Lei, et al. Application of Particle Swarm Optimization Algorithm to Configuration Optimization of Grading Rings for Arrester[J]. High voltageapparatus, 2014, 50(1): 102-106.
[1]姜志鹏,文习山,蓝磊,安然,袁小清,周光远.粒子群算法应用于避雷器均压环配置优化[J].高压电器,2014,50(01):102-106. DOI： 10.13296/j.1001-1609.hva.2014.01.019.

JIANG Zhipeng, WEN Xishan, LAN Lei, et al. Application of Particle Swarm Optimization Algorithm to Configuration Optimization of Grading Rings for Arrester[J]. High voltageapparatus, 2014, 50(1): 102-106. DOI： 10.13296/j.1001-1609.hva.2014.01.019.

摘要

合适的均压环配置即均压环数量和参数能使避雷器电阻片的电压承担率分布更加均匀

均压环数量、参数与电压承担率之间存在着复杂的多维非线性关系

均压环最优配置难于求解但易于评估。为了研究该问题

应用粒子群算法对均压环配置进行优化计算

以最大电压承担率为目标

建立不同个数均压环的优化模型

根据个体适应度值自适应调节惯性权重以提高种群的全局与局部寻优能力。算例结果表明:对500 kV避雷器配置3个均压环和配置2个均压环进行优化计算

优化后最大电压承担率分别为1.104和1.143

均小于1.15

满足相关要求。其中

前者优化后均压效果更为显著;后者优化后结构更为简单。

Abstract

Appropriate configuration of grading rings

including number and parameters

can achieve more uniform distribution of voltage assignment ratio on arrester’s resistor. However

since the relation among the number and parameters of grading rings and the voltage assignment ratio is complicated and multidimensional nonlinear

optimum configuration of grading rings is difficult to be resolved but is easy to be evaluated. Therefore

particle swarm optimization algorithm is employed to optimize configuration of grading rings in this paper. Taking maximum voltage assignment ratio as the objective

optimal models of different number of grading rings are built

and the inertia weight is adjusted adaptively in response to individual fitness value to improve the population’s ability of global and local search. A 500 kV arrester with respective three and two grading rings is optimized

and the results show that the maximum voltage assignment ratios get 1.104 and 1.146

respectively

satisfying the requirement of less than 1.15. The arrester with three grading rings gains more uniform voltage assignment

and the one with two grading rings has simpler structure after optimization.

关键词

Keywords

references

Views

167

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimization of Arrester Grading Ring Based on Differential Evolution Algorithm and Finite Element Method

Fault Location on HVDC Transmission Line Based on PSO-ENN Algorithm

Fault Diagnosis of Power Transformer Using Particle Swarm Optimization and Extreme Learning Machine Based on DGA

Dynamic Calculation Method of High-voltage Cable Conductor Temperature Based on Elman Neural Network

Path Optimization Design of Equipotential Live Working in 1 000 kV UHV Transmission Lines

Related Author

WU Shihong

YUAN Xiaoqing

YU Yi

LAN Lei

WEN Xishan

JIANG Zhipeng

FU Hua

WENG Gongyu

Related Institution

Liaoning Electric Power Co., Ltd., Maintenance Branch Company Jinzhou Branch

Transmission Inspection Center of Liaoning Electric Power Co., Ltd.

Faculty of Electrical and Control Engineering, Liaoning Technical University

School of Electrical Engineering, Southwest Jiaotong University

Yancheng Power Supply Company of State Grid Jiangsu Electric Power Company

⁰