文章基本信息

标题：LMI based approach for power flow analysis with uncertain power injection
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作者：Khaled Laib ; Anton Korniienko ; Florent Morel 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：25
页码：310-315
DOI：10.1016/j.ifacol.2018.11.125
语种：English
出版社：Elsevier
摘要：AbstractThis paper investigates the uncertain power flow analysis in distribution networks within the context of renewable power resources integration such as wind and solar power. The analysis aims to bound the worst-case voltage magnitude in any node of the network for a given uncertain power generation scenario. The major difficulty of this problem is the non-linear aspect of power flow equations. The proposed approach does not require the linearization of these equations and formulates the problem as an optimization problem with polynomial constraints. A new tool to investigate the feasibility of such problems is presented and it is obtained as an extension of theS-procedure, a fundamental result in robustness analysis. A solution to the uncertain power flow analysis problem is proposed using this new tool. The different obtained results are expressed as LMI optimization problems which guaranties an efficient numerical resolution as it will be demonstrated through an illustrative example.
关键词：KeywordsPower flow analysisuncertain power injectionvoltage upperlower boundspolynomial constraints feasibility problemLMI optimization