A biological swarm chasing algorithm for tracking the PV maximum power point

Liang Rui Chen, Chih Hui Tsai, Yuan Li Lin, Yen Shin Lai

Research output: Contribution to journalArticlepeer-review

115 Citations (Scopus)


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.

Original languageEnglish
Article number5404251
Pages (from-to)484-493
Number of pages10
JournalIEEE Transactions on Energy Conversion
Issue number2
Publication statusPublished - 2010 Jun 1

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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