Open AccessAssessment of Electrical equipment status in distribution network based on multi-source data fusion
Author(s) -
Shaonan Chen,
Shuo Liang,
Shan Li,
Yangjun Zhou,
Xi Yu
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042027
Subject(s) - reliability engineering , identification (biology) , data mining , computer science , transformer , data source , entropy (arrow of time) , electrical equipment , engineering , electrical engineering , botany , physics , quantum mechanics , voltage , biology
In order to adapt to the lean maintenance and operation and maintenance requirements of the distribution network, and to improve the utilization of distribution network data, a method for identifying the operating status of distribution network equipment based on multi-source data fusion is proposed. First, the status identification and evaluation requirements of the network and equipment in the operation of the distribution network are analyzed. Then the multi-source data fusion principal is introduced, and the multi-source information sources of the distribution network equipment is explained. An identification method for the state of distribution network equipment based on association rules and entropy weight method fuzzy analysis is proposed, and the evaluation and identification process is given. Finally, the transformer equipment is taken as an example to verify the equipment status identification method proposed in this paper, and demonstrate the effectiveness of this method.