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作 者:Jidong Wang Wenjie Pang Lipeng Wang Xipin Pang Ryuichi Yokoyama
机构地区:[1]Key Laboratory of Smart Grid of Ministry of Education,Tianjin University,Tianjin 300072,China [2]Graduate School of Environment and Energy Engineering,Waseda University,Tokyo 169-8555,Japan
出 处:《CSEE Journal of Power and Energy Systems》2017年第2期160-166,共7页中国电机工程学会电力与能源系统学报(英文)
基 金:supported by National Natural Science Foundation of China(NSFC)(51477111);National Key Research and Development Program of China(2016YFB0901104).
摘 要:With integration of renewable energy and use of non-linear loads in power systems,the power quality problem is increasingly attracting attention of researchers.In China,standards for individual power quality indexes are set.However,when evaluating power quality in practice,individual indexes cannot directly reflect a comprehensive level of power quality.In this paper,a comprehensive analysis of various indexes is conducted to obtain a unified parameter for describing the characteristics of power quality from an overall perspective.First,weight values of power quality indexes are calculated by combining the subjective and objective weight.Then,based on the principal components of the projection method,projection values of boundary data and data to be evaluated are obtained.Finally,using these projection values,a grade range for power quality data is located.A practical case study is presented to show the validity of the proposed method for evaluating power quality.
关 键 词:Combination weighting entropy weight method G1 method power quality principal component projection
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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