Open Accessweighting power quality evaluation based on cloud model and anti-entropy
Author(s) -
Fulu Wei,
Qifeng Xu,
Nan Xie,
Zhiyuan Gong
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2005/1/012158
Subject(s) - topsis , randomness , weighting , ambiguity , entropy (arrow of time) , computer science , data mining , moment (physics) , cloud computing , mathematics , artificial intelligence , mathematical optimization , statistics , operations research , medicine , physics , classical mechanics , quantum mechanics , radiology , programming language , operating system
There are subjectivity and uncertainty in the general comprehensive evaluation of power quality. And there are problems of randomness and ambiguity in the boundary of power quality classification. Firstly, the subjective weight is obtained based on the cloud model theory. Secondly, the objective weight is obtained based on the improved anti-entropy method. Thirdly, the subjective and objective combined weight is obtained through the moment estimation theory. And then the final score of each observation point is obtained and sorted by the improved TOPSIS. Finally, the effectiveness and feasibility of the method are verified by an example, which provides a new idea for the effective combination assessment of power quality.