文章基本信息

标题：Differential Evolution for Optimization of PID Gains in Automatic Generation Control
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作者：Dr. L.D. Arya ; Dr. H.K. Verma ; Cheshta Jain 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：05
页码：1848-1856
出版社：Engg Journals Publications
摘要：Automatic generation control (AGC) of a multi area power system provides power demand signals for AGC power generators to control frequency and tie-line power flow due to the large load changes or other disturbances. Occurrence of large megawatt imbalance causes large frequency deviations from its nominal value which may be a threat to secure operation of power system. To avoid such situation, emergency control to maintain the system frequency using differential evolution (DE) based proportionalintegral- derivative (PID) controller is proposed in this paper. DE is one of the most powerful stochastic real parameter optimization in current use. DE based optimum gains give better optimal transient response of frequency and tie line power changes compared to particle swarm optimization based gains.
关键词：Automatic generation control; differential evolution algorithm; particle swarm optimization.