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Please use this identifier to cite or link to this item:
http://ir.ncue.edu.tw/ir/handle/987654321/11141
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Title: | A biological swarm chasing algorithm for tracking the PV maximum power point |
Authors: | Chen, Liang‐Rui;Tsai, Chih-Hui;Lin, Y. L.;Lai, Y. S. |
Contributors: | 電機工程系 |
Keywords: | Maximum power point tracking (MPPT);Particle swarm optimization;Photovoltaic (PV);Swarm intelligence |
Date: | 2010-06
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Issue Date: | 2012-06-05T04:34:02Z
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Publisher: | Institute of Electrical and Electronics Engineers Inc |
Abstract: | In this paper, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system. Each PVmodule is viewed as a particle, and as a result, the maximum power point is viewed as the moving target. Thus, every PV module can chase the maximum power point (MPP) automatically. A 525Wprototype constructed by three parallel-connected 175 W PV modules is implemented to assess the MPPT performance. Comparing with a typical perturb and observe (P&O) MPPT method, the MPPT efficiency ηMPPT is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction. |
Relation: | IEEE Trans. Energy Convers, 25(2): 484-493 |
Appears in Collections: | [電機工程學系] 期刊論文
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