电网技术2016，Vol.40Issue(3)：774-780,7.DOI:10.13335/j.1000-3673.pst.2016.03.017
基于智能配电网大数据分析的状态监测与故障处理方法
A State Estimation and Fault Processing Method Based on Big Data Analysis of Smart Distribution Network
摘要
Abstract
Traditional protection methods for intelligent distribution network have some problems,such as complex relay setting,difficult co-operation and poor adaptability.In order to solve these problems,this article puts forward a state estimation and fault processing method based on big data analysis of smart distribution network.Firstly,current and power data sampled by integration of measurement and control terminal are pre-processed according to network connection matrix and regional difference rule.Secondly,results of data pre-processing are extended in time and space to construct high-dimensional state estimation matrix.Then the state estimation matrix is analyzed with multi-dimensional scaling and local outlier factor to calculate local outlier factor of each node.Finally,according to value of local outlier factor and relationship between the nodes,fault detection and location are realized.The article proposes prevention criterion for mal-operation leaded by sensor fault beside fault judgment criterion for distribution network.Hardware-in-loop experiments based on RTDS demonstrate effectiveness of the proposed method.关键词
智能配电网保护/大数据分析/数据融合/局部异常因子/传感器故障Key words
protection of smart distribution network/big data analysis/data fusion/local outlier factor/sensor fault分类
信息技术与安全科学引用本文复制引用
赵庆周,李勇,田世明,段义隆,谭益,曹一家..基于智能配电网大数据分析的状态监测与故障处理方法[J].电网技术,2016,40(3):774-780,7.基金项目
国家自然科学基金资助项目(61233008) （61233008）
国家科技支撑计划项目(2013BAA01B01) （2013BAA01B01）
国家国际合作项目(2015DFR70850) （2015DFR70850）
国家电网公司科技项目.Project Supported by National Natural Science Foundation of China (NSFC) (61233008) （NSFC）
Key Project of the National Research Program of China (2013BAA01B01) （2013BAA01B01）
International Science & Technology Cooperation Program of China (2015DFR70850) （2015DFR70850）
State Grid Science & Technology Project. （）
