• Title of article

    Maximum Power Point Tracking Using Particle Swarm Optimization with Chaos Searching Technique for Grid-Connected Photovoltaic System

  • Author/Authors

    Soltani، Iman نويسنده Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran , , Sarv، Mohammad نويسنده Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran , , Gharebaghi، Majid نويسنده Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran ,

  • Issue Information
    روزنامه با شماره پیاپی 0 سال 2013
  • Pages
    10
  • From page
    950
  • To page
    959
  • Abstract
    This paper proposes a method of maximum power point tracking using particle swarm optimization with chaos searching technique (CSTPSO) for grid-connected photovoltaic systems. The system is composed of a boost converter and a Single-phase inverter connected to a utility grid. The maximum power point tracking control is based on proposed control a switch of a boost converter. CTPSO controllers provide attractive features such as fast response, good performance. The single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. From the simulation results, the adaptive CSTPSO controller can deliver more power than the conventional controller.
  • Journal title
    International Journal of Basic Sciences and Applied Research
  • Serial Year
    2013
  • Journal title
    International Journal of Basic Sciences and Applied Research
  • Record number

    1116694