Research on Multi-scenario Insulator Degradation Determination Based on PSO-SVM

WANG Sihua; XU Hejie; LIU Shuang; WANG Junzhe; SHI Tianshu

doi:10.13296/j.1001-1609.hva.2026.04.013

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Research on Multi-scenario Insulator Degradation Determination Based on PSO-SVM

Research & Analysis | 更新时间：2026-04-08

- Research on Multi-scenario Insulator Degradation Determination Based on PSO-SVM
- High Voltage Apparatus Vol. 62, Issue 4, Pages: 113-121(2026)
- 作者机构：
  
  兰州交通大学自动化与电气工程学院，兰州 730070
  兰州交通大学甘肃省轨道交通电气自动化工程实验室，兰州 730070
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.04.013
  CLC：
- Received：25 September 2025，
  
  Revised：2025-12-20，
  
  Published：16 April 2026
- 稿件说明：
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WANG Sihua, XU Hejie, LIU Shuang, et al. Research on Multi-scenario Insulator Degradation Determination Based on PSO-SVM[J]. High Voltage Apparatus, 2026, 62(4): 113-121.
DOI：

WANG Sihua, XU Hejie, LIU Shuang, et al. Research on Multi-scenario Insulator Degradation Determination Based on PSO-SVM[J]. High Voltage Apparatus, 2026, 62(4): 113-121. DOI： 10.13296/j.1001-1609.hva.2026.04.013.

摘要

输电线路一般是根据不同的输电等级以及环境差异配置的，不同电压等级及环境的瓷绝缘子串配置不同，目前基于同一判定标准对多场景下绝缘子劣化判定容易造成误判。因此需要一种可以对不同场景下瓷绝缘子劣化状态有效判定方法。文中利用有限元软件模拟得到不同场景下分布电压数据集，基于PSOSVM算法构建了绝缘子劣化判定模型。通过有限元仿真模拟了不同结构变量的多场景330 kV交流输电线路瓷绝缘子串电场分布，确定主要影响瓷绝缘子串电压分布的因素；根据主要影响因素进行场景分类，使用PSO-SVM模型对不同场景的绝缘子劣化状态分类判定。同时，为验证模型的实用性及有效性，将PSO-SVM（particle swarm optimization-support vector machines）模型与支持向量机（SVM）和遗传算法支持向量机（genetic algorithm-optimization support vector，GA-SVM）进行对比，结果表明PSO-SVM预测精度高于其他两种算法，计算速度也更快，对不同场景下的瓷绝缘子串劣化判定具有一定的参考意义。

Abstract

Transmission lines are generally configured in acordance with different transmission levels and environmens

and the porcelain insulator strings are configured differently for different voltage levels and environments

At present

the determination of insulator degradation in multiple scenarios based on the same determination criteria is prone to misjudgment. Therefore

an effective method is required to determine the degradation status of porcelain insulator under different scenarios. In this paper the distributed voltage data set under different scenarios is obtained by simulation with finite element software. The insulator degradation determination model is constructed based on PSO-SVM algorithm.The electric field distribution of porcelain insulator strings of 330 kV AC transmission lines with different structure variables is simulated by using finite element software so to determine the main factors affecting the voltage distribution of porcelain insulator strings. Then

the scenarios are classified in accordance with the main influencing factors

and the insulator deterioration status of different scenarios is classified and determined using the PSO-SVM model. At the same time

the particle swarm optimization-support vector machines(PSO-SVM) model is compared with the support vector machines(SVM)and genetic algorithm-optimization support vector machines(GA-SVM)to verify both practicality and effectiveness of the model. The results show that the prediction accuracy of PSO-SVM is higher than that of other two algorithms

and the computation speed is also faster

which has a reference significance for the determination of porcelain insulator string degradation in different scenarios.

关键词

Keywords

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