文章基本信息

标题：Design of fractional PID for Load frequency control via Internal model control and Big bang Big crunch optimization
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作者：Shivam Jain ; Yogesh V. Hote
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：4
页码：610-615
DOI：10.1016/j.ifacol.2018.06.163
语种：English
出版社：Elsevier
摘要：AbstractThis paper presents a new technique for the design of an optimal fractional order PID controller for Load frequency control (LFC) in power systems. The proposed approach utilizes a unique combination of Big Bang Big Crunch (BB-BC) algorithm which is a recent soft computing technique and internal model control (IMC) scheme for the design of a fractional order PID controller and it also unifies the notion of order diminution with controller design. A detailed mathematical description of the proposed approach is elucidated in the paper. Since BB-BC is a stochastic search technique, hence a thorough statistical analysis of the response specifications is performed. To demonstrate the effectiveness of the proposed approach, an exhaustive comparative analysis in terms of time response specifications and performance indices is also carried out. It is inferred that the proposed approach is highly efficient tool and outperforms the recent techniques in the literature.
关键词：KeywordsLoad frequency controlStatistical analysisBig Bang Big crunchIntegral performance ind icesPID controlParameter uncertainty