摘要
对变电一次设备的故障类型及成因进行系统分析,结合最新状态监测技术、人工智能算法和物联网平台,研究了故障预测与优化检修的方法。通过构建基于状态评价的分级检修机制、推广智能化预测检修策略,并完善应急响应体系,提出了一套全面、高效的设备运维解决方案,为电力系统的智能化转型和电网安全稳定运行提供技术支持。
This article systematically analyzes the types and causes of faults in primary substation equipment,and combines the latest state monitoring technology,artificial intelligence algorithms,and IoT platforms to study methods for fault prediction and optimized maintenance.By constructing a hierarchical maintenance mechanism based on state evaluation,promoting intelligent predictive maintenance strategies,and improving emergency response systems,a comprehensive and efficient equipment operation and maintenance solution has been proposed to provide technical support for the intelligent transformation of the power system and the safe and stable operation of the power grid.
作者
刘增庆
蒋沁芳
LIU Zengqing;JIANG Qinfang(State Grid Suining Power Supply Company,Suining 629000,China;Sichuan Mingxing Electric Power Co.,Ltd.,Suining 629000,China)
出处
《电工技术》
2025年第S1期571-573,共3页
Electric Engineering
关键词
变电一次设备
故障预测
检修方法
智能化
电网安全
primary substation equipment
fault prediction
maintenance methods
intelligentization
grid security
