文章基本信息

标题：Optimal Utilization of Renewable Energy Sources for Congestion Management
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作者：J. Jeslin Drusila Nesamalar ; P. Venkatesh ; S. Charles Raja 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：30
页码：264-269
DOI：10.1016/j.ifacol.2015.12.388
语种：English
出版社：Elsevier
摘要：AbstractThis article analyse the optimal utilization of Renewable Energy Sources (RES) to manage congestion under power system restructured environment. The proposed congestion management problem is formulated to minimize the rescheduling cost of renewable and conventional generators to alleviate congestion subject to operational, line overloading, seasonal and time constraints. The rescheduling has been done by generator selection based on the proposed Apparent power Congestion Index. Particle swarm optimization with time varying acceleration coefficient minimizes the deviation of rescheduled generator power output from scheduled values. The seasonal and time constraints considered in this paper, is the pioneering work in congestion management involving RES. The validation of the proposed method has been studied on IEEE 30-bus system and the obtained results certify the advantages of RES.
关键词：KeywordsApparent power Congestion IndexCongestion ManagementGenerator reschedulingParticle Swarm OptimizationSeasonaltime constraints