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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.|
|Keywords: ||Maximum power point tracking (MPPT);Particle swarm optimization;Photovoltaic (PV);Swarm intelligence|
|Issue Date: ||2012-06-05T04:34:02Z
|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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