• DocumentCode
    621451
  • Title

    Implementation of Artificial Bee Colony algorithm on Maximum Power Point Tracking for PV modules

  • Author

    Bilal, Babar

  • Author_Institution
    Electr. Eng. Fac., Univ. Politeh. of Bucharest, Bucharest, Romania
  • fYear
    2013
  • fDate
    23-25 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Renewable energy has become of utmost importance in the current wake of decreasing levels of fossil fuels and also because of the high percentages of CO2 build-up in the environment. Nowadays there is an increasing trend in the use of solar energy by using photovoltaic (PV). In this paper Artificial Bee Colony algorithm is used for Maximum Power Point Tracking and its performance is compared with Perturb and Observe algorithm.
  • Keywords
    maximum power point trackers; optimisation; solar power; MPPT; PV modules; artificial bee colony algorithm; fossil fuels; maximum power point tracking; perturb and observe algorithm; photovoltaic modules; renewable energy; solar energy; Linear programming; Mathematical model; Optimization; Photovoltaic systems; Signal processing algorithms; Temperature; artificial bee colony algorithm; maximum power point tracking; photovoltaic modules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Topics in Electrical Engineering (ATEE), 2013 8th International Symposium on
  • Conference_Location
    Bucharest
  • Print_ISBN
    978-1-4673-5979-5
  • Type

    conf

  • DOI
    10.1109/ATEE.2013.6563495
  • Filename
    6563495
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=621451