基于大数据的避雷器泄漏电流异常分析方法  

作　　者：侯峰 邢雅 冯洋 余金花 郭溦 

机构地区：[1]国网宁夏电力有限公司培训中心,银川750002

出　　处：《科技创新与应用》2025年第4期160-163,共4页Technology Innovation and Application

摘　　要：避雷器是电力系统中的重要保护设备,其运行状态直接影响电网的安全和稳定。该文设计并开发一套避雷器泄漏电流带电检测缺陷试验与实训平台,通过模拟避雷器的不同泄漏电流情况,研究电压谐波对测量结果的影响,并提出改进的检测方法。通过建立指纹数据库、设计泄漏电流模拟发生模块和电压向量基准对标模块,实现对避雷器健康状况的准确评估。该平台填补现有研究在实际应用方面的空白,提升避雷器故障检测的准确性和实用性。Lightning arresters are important protective equipment in power systems,and their operating status directly affects the safety and stability of power grids.In this paper,a set of live detection and training platform for lightning arrester leakage current is designed and developed.By simulating different leakage current conditions of lightning arrester,the impact of voltage harmonics on measurement results is studied,and improved detection methods are proposed.By establishing a fingerprint database,designing a leakage current simulation generation module and a voltage vector benchmark benchmarking module,accurate assessment of the health status of the lightning arrester is achieved.This platform fills the gap in existing research in practical applications and improves the accuracy and practicality of lightning arrester fault detection.

关 键 词：避雷器 带电检测 谐波补偿 指纹数据库 大数据 

分 类 号：TM862[电气工程—高电压与绝缘技术]