• DocumentCode
    253316
  • Title

    Maximum power point tracking of photovoltaic system using feedback fuzzy system

  • Author

    Chouksey, Luckey ; Saket, R.K. ; Pattanaik, P. Akash

  • Author_Institution
    Dept. of Electr. Eng., Banaras Hindu Univ., Varanasi, India
  • fYear
    2014
  • fDate
    9-11 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a novel intelligent method to track the voltage corresponding to maximum power point of a photovoltaic system. Here, the solar model is tested under variable temperature & irradiance conditions using Fuzzy logic & compare it with conventional methods. The fuzzy control used in the system uses a change in power (error) and rate of change in power (Change in error) as the inputs to get the optimum reference voltage and optimum duty cycle to track the maximum operating point. This method assures fast tracking of a maximum power point with a high accuracy and the results is verified by using Simulink model in Matlab. The system mainly consists of a photovoltaic panel, boost converter and fuzzy controller.
  • Keywords
    feedback; fuzzy control; fuzzy systems; maximum power point trackers; photovoltaic power systems; power generation control; Simulink model; boost converter; feedback fuzzy system; fuzzy control; fuzzy logic; intelligent method; irradiance conditions; maximum power point tracking; optimum duty cycle; optimum reference voltage; photovoltaic panel; photovoltaic system; solar model; variable temperature; voltage tracking; Manganese; Photovoltaic systems; Resistance; Silicon; Tin; MPPT; feedback fuzzy controller; photovoltaic panel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances and Innovations in Engineering (ICRAIE), 2014
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4799-4041-7
  • Type

    conf

  • DOI
    10.1109/ICRAIE.2014.6909290
  • Filename
    6909290