• DocumentCode
    1400801
  • Title

    A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Nat. Changhua Univ. of Educ., Changhua, Taiwan
  • Volume
    25
  • Issue
    2
  • fYear
    2010
  • fDate
    6/1/2010 12:00:00 AM
  • Firstpage
    484
  • Lastpage
    493
  • 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 ??MPPT is improved about 12.19% in transient state by the proposed MPPT as theoretical prediction.
  • Keywords
    maximum power point trackers; particle swarm optimisation; PV maximum power point; biological swarm chasing algorithm; particle swarm optimization; swarm intelligence; Maximum power point tracking (MPPT); particle swarm optimization; photovoltaic (PV); swarm intelligence;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2009.2038067
  • Filename
    5404251
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1400801