進化計算学会論文誌
Online ISSN : 2185-7385
ISSN-L : 2185-7385
事例紹介論文:「進化計算シンポジウム2015」特集号
粒子群最適化の動的最大電力点追従への応用
田中嶋 孝祐斎藤 利通
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2016 年 7 巻 2 号 p. 24-31

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This paper considers application of a particle swarm optimization algorithm to the maximum power point tracking in photovoltaic systems. The cost function of a terminal voltage is time-variant in dynamic environment and the voltage corresponds to a particle. Since the terminal voltage can take one value at an instant, it is difficult to construct plural particles. In order to overcome this difficulty, our algorithm uses imaginary particles consisting of sampled values of the terminal voltage. In order to adapt to the dynamic cost function, the algorithm uses a flexible reset method of the personal best. In order to escape from a trap of local solution, the algorithm accelerates particles periodically. Performing basic numerical experiments, the algorithm efficiency is investigated.

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