1. A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point.
- Author
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Liang-Rui Chen, Chi-Hui Tsai, Yuan-Li Lin, and Yen-Shin Lai
- Subjects
- *
PHOTOVOLTAIC power generation , *PARTICLE swarm optimization , *SWARM intelligence , *CELLULAR automata , *ELECTRIC power production - 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 PV module 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 525 W prototype 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. [ABSTRACT FROM AUTHOR]
- Published
- 2010
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