标题:Power quality assessment based on combinatorial weight method of variance maximizing
作者:Yang, Jingjing ;Wang, Song ;Liu, Changfeng ;Wang, Ruolin ;Ma, Jiansheng ;Xu, Kezheng ;Lu, Qihong
通讯作者:Wang, Song
作者机构:[Yang, Jingjing ;Ma, Jiansheng ;Xu, Kezheng ] Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang, China;[Lu, Qihong ] S 更多
会议名称:1st International Conference on Advanced Algorithms and Control Engineering, ICAACE 2018
会议日期:August 10, 2018 - August 12, 2018
来源:Journal of Physics: Conference Series
出版年:2018
卷:1087
期:5
DOI:10.1088/1742-6596/1087/5/052042
摘要:In order to improve the limitation of the existing wind power grid connection quality assessment methods, a more reasonable combinatorial weight method considering the advantages of both subjective and objective is proposed. The objective function is to maximize the variance of the evaluation object under the combined weight, and to optimize the optimal solution of the model as the index weight. On this basis, an adaptive fuzzy neural network is used to evaluate the power quality evaluation method based on the combination weight of the maximization of variance. This method is used to evaluate the 220KV bus power quality of the Weifang power grid. The results not only verify the reasonableness of the proposed variance maximization combination weight weighting, but also verify the effectiveness of the proposed adaptive fuzzy neural network power quality comprehensive evaluation method, which provides a new method for the study of the evaluation method.
© Published under licence by IOP Publishing Ltd.
收录类别:EI
资源类型:会议论文
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