多端电源网络故障点识别研究  

Research on Fault Point Identification of Multi Terminal Power Network

作　　者：王钰敬 WANG Yujing(State Grid Jintan Ditrict Power Supply Company,Jintan 213200,Jiangsu,China)

机构地区：[1]常州市金坛区供电公司,江苏金坛213200

出　　处：《电力大数据》2022年第7期26-33,共8页Power Systems and Big Data

摘　　要：针对传统的单电源网络,加入多个电源以后,电网的潮流变得复杂。本文主要是针对多端电源的复杂网络展开分析,设置一个多电源网络,设定一个点发生故障,然后对每个电源作用状态下单独进行分析。传统的故障定位采用的是矩阵算法,容错性较差。故障区段节点告警信息存在互相关联的关系。本文设定一个关联矩阵R和故障区段矩阵L以及节点告警信息矩阵S,利用三者之间的矩阵计算关系进行求解。当告警信息出现错误后,进行反向校验得出此状态下的故障区段。最后利用多目标的改进算法,进行寻优求解,得出正确故障区段,并举例验证其容错性。For the traditional single power network,after adding multiple power sources,the power flow of the power grid becomes complex.This paper mainly analyzes the complex network of multi-terminal power supply in a multi power supply network,through a failure point,and then analyzes each power supply separately.The traditional fault location adopts matrix algorithm,which has poor fault tolerance.There is correlation between the node alarm information of the fault section.In this paper,an incidence matrix R,the fault section matrix L and the node alarm information matrix S are set,and the matrix calculation relationship between the three is used for memory solution.When there is an error in the alarm information,conduct reverse verification to obtain the fault section in this state.Finally,the improved multi-objective algorithm is used to find the optimal solution,the correct fault section is obtained,and an example is given to verify its fault tolerance.

关 键 词：多端电源 关联矩阵 反向校验 算法寻优 容错性 

分 类 号：TM713[电气工程—电力系统及自动化]