文章基本信息

标题：Improved Probabilistic Multi-Stage PMU Placement with an Increased Search Space to Enhance Power System Monitoring
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作者：Seyed-Ehsan Razavi ; Hamid Falaghi ; Ali Azizivahed 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：262-267
DOI：10.1016/j.ifacol.2018.11.712
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a mathematical linear model for probabilistic Multistage PMU Placement (MPP). The proposed probabilistic MPP utilizes a technique needless to use prevalent subsidiary optimizations for each planning stage. Although this technique, in turn, increases problem complexity with manifold variables, it guarantees global optimal solution in a wider and thorough search space; while in prevalent methods, some parts of search space might be missed. In addition, the model is capable of considering the network topology changes due to long-term expansions over the planning horizon. Finally, in order to demonstrate the effectiveness of the proposed formulation, the model is conducted on the IEEE 57-bus standard test system regarding a three-stage expansion scenario.
关键词：KeywordsIncreased Search SpacePhasor Measurement Unit (PMU)Probabilistic multi-stage PMU placementProbability of observability