Research on Fault Detection and Diagnosis Technology of Distribution Network Based on Big Data Analysis
With the development of smart grid,how to dig deep into the value of big data in distribution network and improve the efficiency of fault detection and diagnosis in distribution network has become particularly important.In order to make full use of and develop distribution network big data,improve the efficiency of distribution network fault detection and diagnosis,reduce distribution network fault problems,and better improve the quality of power supply service,this paper explores the realization mode,processing flow,analysis methods and strategies of distribution network fault detection and diagnosis from the perspectives of distribution network automation system,distribution network big data,common abnormal problems of distribution network and big data analysis technology,etc.by using the method of literature analysis and combining with work experience.This paper systematically expounds the process of state monitoring and fault handling of distribution network based on big data analysis technology,and puts forward the corresponding fault location isolation and non-fault area recovery analysis methods,fault detection and fault diagnosis strategies.
big data analysisfault detection of distribution networkfault diagnosis
NETL
NSTL
万方数据
