期刊名称：International Journal of Grid and Distributed Computing
印刷版ISSN：2005-4262
出版年度：2016
卷号：9
期号：2
页码：23-32
DOI：10.14257/ijgdc.2016.9.2.03
出版社：SERSC
摘要：In order to improve the power quality comprehensive assessment of objectivity and accuracy, the fuzzy backward cloud generator that combines fuzzy theory and backward cloud model is proposed. Expectation of the backward cloud model is the qualitative concept that reflects the level of power quality best. The fuzzy backward cloud model using the fuzzy method to determine the numerical characteristics of cloud model for qualitative concepts of each power index, the weight of each index is determined by the combination weighting method, and then the power quality assessment is achieved. This approach is compatible with the influential factors of various levels of power quality indicators. The simulation results show the proposed method is more objective and accurate compared with the conventional method.
关键词：power quality; fuzzy theory; combination weight; cloud model
