粒子群最適化手法に基づく太陽光発電装置の最大電力点追従制御と実機実験による検証

島本 拓和, 蛯原 義雄, 萩原 朋道

研究成果: Contribution to journalArticle査読

抄録

This paper is concerned with the maximum power point tracking control of photovoltaic systems. In solar power generation using photovoltaic systems, DC-DC converters are usually inserted between photovoltaic systems and loads so that we can change operation points and thereby increase efficiency. However, the characteristic of the output power with respect to the duty ratio of DC-DC converters has multiple local maxima and drastically changes according to weather variation. In this paper, we propose an algorithm for online tuning of the duty ratio based on particle swarm optimization so that we can realize maximum power point tracking under such intractable circumstances. We finally verify the effectiveness of the algorithm by practical experiments.
寄稿の翻訳タイトル<b>Maximum Power Point Tracking Control of Photovoltaic </b><b>Systems Based on Particle Swarm Optimization with Experimental Verication</b>
本文言語日本語
ページ(範囲)237-245
ページ数9
ジャーナルシステム制御情報学会論文誌
27
6
DOI
出版ステータス出版済み - 2014

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