• DocumentCode
    3248580
  • Title

    Golden section search (GSS) algorithm for Maximum Power Point Tracking in photovoltaic system

  • Author

    Agrawal, Jyoti ; Aware, M.

  • Author_Institution
    Electr. Eng. Dept., Visvesvaraya Nat. Inst. of Technol., Nagpur, India
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a new Maximum Power Point Tracking (MPPT) algorithm based on golden section search technique for tracking maximum power point in photovoltaic (PV) systems. This method is robust and also has a fast response as compared to the conventional MPPT algorithms. This algorithm has guaranteed convergence under continuous variable atmospheric conditions. The search variable voltage is used to control the DC-DC converter. This algorithm is executed in real time using NI-Elvis hardware platform along with the PV emulator. The PV emulator eliminates the need of photovoltaic panels required for testing the energy conversion system. The performance of this algorithm is tested for different temperature and irradiation level. The dynamics under different operating conditions of PV array is tested on 300W DC-DC converter to confirm its performance.
  • Keywords
    DC-DC power convertors; maximum power point trackers; photovoltaic power systems; solar cell arrays; DC-DC converter; GSS algorithm; MPPT algorithms; NI-Elvis hardware platform; PV array; PV emulator; energy conversion system; golden section search; maximum power point tracking; maximum power point tracking algorithm; photovoltaic panels; photovoltaic system; power 300 W; Arrays; Mathematical model; Maximum power point tracking; Photovoltaic systems; Radiation effects; Temperature; Voltage control; DC-DC converter; MPPT; Photovoltaic cells; Photovoltaic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics (IICPE), 2012 IEEE 5th India International Conference on
  • Conference_Location
    Delhi
  • ISSN
    2160-3162
  • Print_ISBN
    978-1-4673-0931-8
  • Type

    conf

  • DOI
    10.1109/IICPE.2012.6450384
  • Filename
    6450384