Open AccessResearch on Active Emergency Repair Technology of Distribution Network Based on Large Power Data
Author(s) -
Yiping Mao,
Jingfei Mao,
Jiabo Situ,
Bo Dong,
Longjin Lv
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/3/032086
Subject(s) - transformer , reliability engineering , electric power , computer science , identification (biology) , fault (geology) , data collection , engineering , computer security , power (physics) , electrical engineering , voltage , statistics , physics , botany , mathematics , quantum mechanics , seismology , geology , biology
Distribution network emergency repair is the most important work in power supply service and production management. Active emergency repair is an important way to improve the efficiency of emergency repair command. In this paper, we investigate the outage data of private and public transformer in the electric power information collection system. By using data mining technology, we build the relationship between outage data and actual line faults. A real fault identification model based on the detailed outage data of private and public transformer is established, which can quickly and accurately identify real faults and facilitate maintenance personnel to take timely measures, and achieve active emergency repair.