Open AccessOperation status evaluation of low voltage distribution network based on PCA- entropy combined weight method
Author(s) -
Yiranyou,
Shi-shi Guo
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/512/1/012134
Subject(s) - grasp , entropy (arrow of time) , computer science , weight distribution , principal component analysis , reliability (semiconductor) , data mining , evaluation methods , reliability engineering , artificial intelligence , engineering , power (physics) , physics , quantum mechanics , programming language , aerospace engineering
With the rapid development of smart grid and distribution network intelligence, how to accurately grasp the operating status of the distribution network is an urgent task. Therefore, this paper proposes a method for evaluating the operating status of low-voltage distribution networks based on the PCA-entropy combined weight method. Firstly, the improved principal component analysis (PCA) is used to extract the distribution network evaluation indexes and establish an evaluation index system, which from the four aspects of safety, reliability, quality, and economics. Then model the indexes of each level and calculate the subjective and objective comprehensive weights of the indexes of each level by using the entropy combination weight method. Finally, the feasibility and practicability of the method are verified by comprehensive evaluation of the actual distribution network.