• DocumentCode
    3071265
  • Title

    Intelligent controller based MPPT method for the Photovoltaic power system

  • Author

    Anandhakumar, G. ; Venkateshkumar, M. ; Shankar, Prithvi

  • Author_Institution
    HOD/EEE Saveetha Sch. of Eng., Saveetha Univ., Tiruvallur, India
  • fYear
    2013
  • fDate
    23-24 Aug. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The global electrical energy demand is increased gradually and the power generation is not meeting consumer demand due to deficit of fossil. In this paper we have been studying and analysis of the Photovoltaic power system operation and electrical characteristics. The PV power system is environmentally friendly such as no pollution and global warming effect. The PV power system is one of the best renewable energy sources and clean energy. This project we have been designed fuzzy logic controller for to track the Maximum power point for a 1.5 KW PV system under various climate. The proposed model has been designed Matlab software and analysis the simulation results then we have proved the effectiveness of the proposed MPPT method for the system.
  • Keywords
    control system synthesis; fuzzy control; photovoltaic power systems; Matlab software; PV power system; clean energy; consumer demand; fuzzy logic controller design; global electrical energy demand; intelligent controller based MPPT method; maximum power point tracking; photovoltaic power system; power 1.5 kW; power generation; renewable energy source; Educational institutions; Fuzzy logic; Mathematical model; Maximum power point trackers; Photovoltaic cells; Photovoltaic systems; Radiation effects; Intelligent control; MPPT; Photovoltaic cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human Computer Interactions (ICHCI), 2013 International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1109/ICHCI-IEEE.2013.6887790
  • Filename
    6887790