基于潮流指纹匹配的配电网故障诊断

Distribution Network Fault Diagnosis Based on Power Flow Fingerprint Matching

电力系统是国家经济发展的基础,而配电网是整个电力系统极为重要的组成部分。近年来,随着电力需求的增加,配电网结构及其运行方式变得复杂,其故障率也呈现出倍增的趋势。为了解决如今电网故障诊断面临的缺乏容错性,不稳定性等情况,提出一种基于潮流指纹匹配的配电网故障诊断方法,该方法在潮流指纹的基础上,采集系统网络参数建成潮流指纹数据库,利用Matrix Profile进行匹配得到故障点位置,并进行了算例仿真。仿真结果证明所提出的方法能够准确判断故障位置,为今后相关问题研究提供参考。

Power system is the foundation of national economy,and distribution network is an important part of the whole power system.In recent years,with the increase of power demand,the structure and operation mode of distribution network become more complex,and its failure rate also presents a doubling trend.In order to solve the lack of fault tolerance and instability in power grid fault diagnosis,a fault diagnosis method based on power flow fingerprint matching was proposed.On the basis of the power flow fingerprint,the power flow fingerprint database was built by collecting the network parameters of the system,and the fault location was obtained by matrix profile matching.The simulation results show that the proposed method can accurately determine the fault location,which provides a reference for future research.