摘要
在电力系统中,快速准确的故障诊断对于恢复系统正常运行发挥着至关重要的作用。作者将有序加权平均算子应用到电力系统故障诊断中,提出了一种基于信息融合的快速故障诊断方法。该方法将断路器的离散时间信息以及记录仪的连续时间信息进行融合,从而通过多源信息改进系统决策过程。仿真实验表明,当采用融合后的故障诊断系统进行决策时,可以有效提高故障诊断能力,缩短了发现故障的延迟时间,同时也验证了提出方法的有效性。
In the power system,fast and accurate fault diagnosis plays a vital role in restoring the system to normal operation.In this paper,the ordered weighted average operator is applied to power system fault diagnosis,and a new fast fault diagnosis method based on information fusion is proposed.This method fuses discrete-time information from circuit breakers and continuous-time information from loggers to improve the system decision-making process through multiple-source of information.Simulation experiments show that when the fused fault diagnosis system is used for decision making,it can not only effectively improve the fault diagnosis capability but also shorten the delay time of fault detection.Thus,the effectiveness of the proposed method is verified.
作者
罗卿
LUO Qing(Jiande Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Jiande 311600,China)
出处
《微型电脑应用》
2023年第10期161-163,180,共4页
Microcomputer Applications
关键词
电力系统
故障诊断
断路器
信息融合
系统决策
power system
fault diagnosis
circuit breakers
information fusion
system decision
