• DocumentCode
    2005716
  • Title

    A PSO-based MPPT algorithm for photovoltaic systems subject to inhomogeneous insolation

  • Author

    Chun-Liang Liu ; Yi-Feng Luo ; Jia-Wei Huang ; Yi-Hua Liu

  • Author_Institution
    Dept. of Electr., NTUST, Taipei, Taiwan
  • fYear
    2012
  • fDate
    20-24 Nov. 2012
  • Firstpage
    721
  • Lastpage
    726
  • Abstract
    Photovoltaic generation system (PGS) has become an attractive option among renewable energy sources because it is clean, maintenance-free and environmental friendly. For large PGS, the probability for partially shaded condition (PSC) to occur is high. Under PSC, when the entire array does not receive uniform insolation, the P-V curves of PGS get more complex, exhibiting multiple peaks. In this paper, a particle swarm optimization (PSO)-based MPPT algorithm for PGS operating under PSC is proposed. The problem formulation and design procedure are described and explained in detail. The proposed method boasts the advantages such as easy to implement, system-independent and high tracking efficiency. To validate the correctness of the proposed method, simulation and experimental results of a 2 kW PGS will also be provided to demonstrate the effectiveness of the proposed technique.
  • Keywords
    maximum power point trackers; particle swarm optimisation; photovoltaic power systems; P-V curves; PSC; PSO-based MPPT algorithm; inhomogeneous insolation; partially shaded condition; particle swarm optimization algorithm; photovoltaic generation system; photovoltaic systems; power 2 kW; renewable energy sources; Maximum Power Point Tracking; Partially Shaded Condition; Particle Swarm Optimization; Photovoltaic Generation System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on
  • Conference_Location
    Kobe
  • Print_ISBN
    978-1-4673-2742-8
  • Type

    conf

  • DOI
    10.1109/SCIS-ISIS.2012.6505229
  • Filename
    6505229