智能信息化技术在电力系统故障诊断中的应用  

The Application of Intelligent Information Technology in Power System Fault Diagnosis

作　　者：吕泽源 袁佳伟 Lv Ze-yuan;Yuan Jia-wei(State Grid Changzhou Power Supply Company,Changzhou 213000,Jiangsu Province,China)

机构地区：[1]国网常州供电公司,江苏常州213000

出　　处：《科学与信息化》2025年第2期120-122,共3页Technology and Information

摘　　要：电力系统故障预测与诊断技术是智能算法的重要应用领域,智能算法在电力系统故障预测与诊断技术中发挥着关键作用,旨在提高故障检测的准确性和效率。本文通过关注数据质量和整合多源数据,优化算法和模型的选择及参数调整,以及结合多种算法和模型,来提高电力系统故障预测与诊断的有效性和准确性,以增强电力系统的稳定性和可靠性。Power system fault prediction and diagnosis technology is an important application area of intelligent algorithms,which play a key role in enhancing the accuracy and efficiency of fault detection.This paper focuses on improving the effectiveness and accuracy of power system fault prediction and diagnosis by paying attention to data quality and integrating multi-source data,optimizing the selection and parameter adjustment of algorithms and models,and combining multiple algorithms and models.The results show that the application of intelligent technology significantly improves the transparency,response speed,and system performance of power systems,while reducing operational costs and providing strong support for the realization of efficient,intelligent,and green power systems.

关 键 词：电力系统 故障预测 故障诊断 智能算法 数据融合 

分 类 号：TM7[电气工程—电力系统及自动化]