• DocumentCode
    165103
  • Title

    Global maximum power point tracking of PV system using dynamic population size differential evolution (DynNP-DE) algorithm

  • Author

    Tajuddin, M.F.N. ; Ayob, S.M. ; Salam, Z.

  • Author_Institution
    Sch. of Electr. Syst. Eng., Univ. Malaysia Perlis (UniMAP), Kuala Perlis, Malaysia
  • fYear
    2014
  • fDate
    13-14 Oct. 2014
  • Firstpage
    254
  • Lastpage
    259
  • Abstract
    In this paper, a population-based direct global optimization technique called Dynamic Population Size Differential Evolution (DynNP-DE) to deal with partial shading occurrence is proposed. In this proposed technique, the size of the population is significantly reduced without compromising the robustness of the original DE algorithm. To evaluate the effectiveness of the proposed MPPT technique, the algorithm is implemented on a boost converter and validated through several partial-shading patterns. Simulation results show that the proposed modification yields faster convergence and capable to handle partial shading conditions.
  • Keywords
    maximum power point trackers; optimisation; photovoltaic power systems; DynNP-DE algorithm; MPPT technique; PV system; boost converter; direct global optimization technique; dynamic population size differential evolution algorithm; global maximum power point tracking; partial shading conditions; photovoltaic system; Arrays; Heuristic algorithms; Maximum power point trackers; Optimization; Sociology; Statistics; Vectors; MPPT; differential evolution (DE); partial shading; photovoltaic (PV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion (CENCON), 2014 IEEE Conference on
  • Conference_Location
    Johor Bahru
  • Type

    conf

  • DOI
    10.1109/CENCON.2014.6967511
  • Filename
    6967511