文章基本信息

标题：Comparison of Different Methods in Stochastic Power Flow with Correlated Wind Power Generation
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作者：Chaofan Lin ; Zhaohong Bie ; Baorong Zhou 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：28
页码：67-72
DOI：10.1016/j.ifacol.2018.11.679
语种：English
出版社：Elsevier
摘要：AbstractAs increasing penetration of renewable energy, stochastic power flow method becomes an essential tool to analyze the randomness and variation in power system. Conventional methods cannot count in the correlation between input random variables, which will lead to obvious error in most cases. Consequently, it’s necessary to study enhanced methods, and also conduct comparisons among them to provide criteria for method selection. This paper builds up the basic frame of stochastic power flow methods considering correlation and compares them, especially two typical cumulant methods in aspects of accuracy, efficiency and complexity. Useful conclusions are obtained for further study and application.
关键词：KeywordsStochastic power flowCorrelationWind power generationCumulant MethodProbability