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

Translated title of the contribution: <b>Maximum Power Point Tracking Control of Photovoltaic </b><b>Systems Based on Particle Swarm Optimization with Experimental Verication</b>

島本 拓和, 蛯原 義雄, 萩原 朋道

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Translated title of the contribution<b>Maximum Power Point Tracking Control of Photovoltaic </b><b>Systems Based on Particle Swarm Optimization with Experimental Verication</b>
Original languageJapanese
Pages (from-to)237-245
Number of pages9
Journalシステム制御情報学会論文誌
Volume27
Issue number6
DOIs
Publication statusPublished - 2014

Fingerprint Dive into the research topics of '<b>Maximum Power Point Tracking Control of Photovoltaic </b><b>Systems Based on Particle Swarm Optimization with Experimental Verication</b>'. Together they form a unique fingerprint.

Cite this