• DocumentCode
    3708205
  • Title

    Intelligent Techniques for MPPT Control in Photovoltaic Systems: A Comprehensive Review

  • Author

    Mohamed E. El Telbany;Ayman Youssef;Abdelhalim Abdelnaby Zekry

  • fYear
    2014
  • Firstpage
    17
  • Lastpage
    22
  • Abstract
    Photovoltaic (PV) electrical power generation, as one of renewable energy source, is a technique which uses solar energy to produce electric energy. The utilization of such systems is growing because of limited resources and the acute energy crisis. This motivates the research community to investigate these renewable energy sources and maximize their efficiency. This paper presents a literature survey from most recent achievements in maximum power tracking control AI algorithms. Maximum power tracking algorithms are used to match the load resistance to the source input resistance to increase the power delivered from the photovoltaic system. This paper compares between the works done in these algorithms concentrating on the AI algorithms which have proven higher efficiency in this field. The paper also states the most recent contributions in each algorithm. This manuscript should serve as a convenient reference for future work in maximum power tracking control.
  • Keywords
    "Fuzzy logic","Maximum power point trackers","Algorithm design and analysis","Mathematical model","Biological neural networks","Photovoltaic systems","Genetic algorithms"
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence with Applications in Engineering and Technology (ICAIET), 2014 4th International Conference on
  • Type

    conf

  • DOI
    10.1109/ICAIET.2014.13
  • Filename
    7351807