Research on Line Loss Detection and Reduction Strategy Based on Big Data Analysis in Distribution Network
With the increasing demand of energy and environmental protection,the optimization of power system efficiency,especially the reduction of distribution network line loss,has become a research focus.This paper focuses on the problem of line loss in distribution network,and studies the detection and reduction strategy of line loss based on big data analysis.On this basis,we deeply analyze the application potential of big data technology in identifying and reducing line loss,such as data collection,preprocessing,feature extraction,etc.At the same time,it also puts forward a line loss reduction strategy based on big data,which extensively involves network optimization,load management,equipment condition monitoring and other contents.Through the effective implementation of these strategies,it aims to promote the development of smart grid and realize the sustainable use of energy.
distribution networkbig data analysisline loss detectionenergy efficiency management
NETL
NSTL
万方数据
