• DocumentCode
    1905164
  • Title

    Research on MPPT Technique in Photovoltaic Power Generation System

  • Author

    Fu, Qiang ; Tong, Nan

  • Author_Institution
    Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
  • Volume
    3
  • fYear
    2012
  • fDate
    23-25 March 2012
  • Firstpage
    394
  • Lastpage
    398
  • Abstract
    Maximum power point tracking (MPPT) is the core technique in photovoltaic power generaton system to improve energy utilization. Major research direciotns of MPPT are focused on model pattern and input-output paramerters pattern. This paper introduces the superiority and inferiority for MPPT in two kind of patterns. Morever, a new MPPT method in model pattern base on ant colony optimization algorithm(ACO) and an optimized fuzzy tracking method in input-output paramerters pattern are also proposed, which are proved to tracking the maximum power point (MPP)effectively from experimental results. Finally, combined with advantages of the above tracking methods, a set of integral tracking strategy is put forward to accurately and timely track MPP under different conditions.
  • Keywords
    ant colony optimisation; fuzzy set theory; maximum power point trackers; photovoltaic power systems; ACO algorithm; MPPT technique; ant colony optimization algorithm; energy utilization; input-output parameter pattern; integral tracking strategy; maximum power point tracking; model pattern; optimized fuzzy tracking method; photovoltaic power generation system; Accuracy; Mathematical model; Photovoltaic cells; Photovoltaic systems; Temperature; fuzzy algorithm; maximum power point tracking (MPPT); swarm intelligence; tracking strategy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4673-0689-8
  • Type

    conf

  • DOI
    10.1109/ICCSEE.2012.346
  • Filename
    6188313