• DocumentCode
    1609379
  • Title

    Global MPPT of solar PV modules using a dynamic PSO algorithm under partial shading conditions

  • Author

    Huynh, Duy C. ; Nguyen, Thanh Minh ; Dunnigan, Matthew W. ; Mueller, M.A.

  • Author_Institution
    Univ. of Technol., Ho Chi Minh City, Vietnam
  • fYear
    2013
  • Firstpage
    134
  • Lastpage
    139
  • Abstract
    This paper proposes a novel global maximum power point tracking (MPPT) strategy for solar photovoltaic (PV) modules under partial shading conditions using a dynamic particle swarm optimisation (PSO) algorithm. Solar PV modules have non-linear V-P characteristics with local maximum power points (MPPs) under partial shading conditions. In order to continuously harvest maximum power from solar PV modules, it always has to be operated at its global MPP which is determined using the proposed dynamic PSO algorithm. The obtained simulation results are compared with MPPs achieved using the standard PSO, and Perturbation and Observation (P&O) algorithms to confirm the effectiveness of the proposed algorithm under partial shading conditions.
  • Keywords
    maximum power point trackers; solar cells; MPPT; maximum power point tracking; nonlinear V-P characteristics; particle swarm optimisation; perturbation and observation algorithms; solar photovoltaic modules; Algorithm design and analysis; Arrays; Conferences; Heuristic algorithms; Maximum power point trackers; Photovoltaic systems; Standards; Solar photovoltaic modules; maximum power point tracking; partial shading conditions; particle swarm optimisation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Clean Energy and Technology (CEAT), 2013 IEEE Conference on
  • Conference_Location
    Lankgkawi
  • Print_ISBN
    978-1-4799-3237-5
  • Type

    conf

  • DOI
    10.1109/CEAT.2013.6775614
  • Filename
    6775614