• DocumentCode
    1778981
  • Title

    Control and stabilization of three-phase grid connected photovoltaics using PID-Fuzzy logic

  • Author

    Louzazni, Mohamed ; Aroudam, Elhassan

  • Author_Institution
    Fac. of Sci., Univ. Abdelmalek Essaadi, Tetouan, Morocco
  • fYear
    2014
  • fDate
    2-6 June 2014
  • Firstpage
    279
  • Lastpage
    284
  • Abstract
    The aims of this paper are to propose an intelligent hybrid control based in two methods of maximum power point tracking (MPPT) using fuzzy logic and classical PID controllers of a photovoltaic system under variable temperature and irradiance conditions, to improve the dynamic response, the efficiency and the stability of single stage three-phase photovoltaic grid-connected inverter. The combination of the intelligent fuzzy logic with the classical PID controller makes the control of nonlinear characteristic of photovoltaic array more feasible. The proposed intelligent hybrid PID-Fuzzy logic controller automatically varies the coefficients Kp, Ki and Kd under variable temperature and irradiation, load change and uses directly the DC-DC converter duty cycle as a control parameter. Finally, the new method gives a good MPPT operation ot any photovoltaic array under different conditions such as changing solar radiation and PV cell temperature. The simulation results and the comparison of results obtained separately from PID controller and hybrid proposed intelligent controller of PID-Fuzzy logic show the advantages of the proposed intelligent algorithm in terms of correctness and the feasibility, overshooting and stability and maintains its response better than the PID controller in many aspects.
  • Keywords
    dynamic response; fuzzy control; intelligent control; maximum power point trackers; power grids; power system stability; solar cell arrays; three-term control; DC-DC converter duty cycle; MPPT; dynamic response; intelligent hybrid PID fuzzy logic controller; irradiance conditions; maximum power point tracking; photovoltaic array nonlinear characteristic control; single stage three phase photovoltaic grid connected inverter stability; variable temperature; Artificial intelligence; Fuzzy logic; Inverters; Mathematical model; Niobium; Photovoltaic systems; DC-DC converter; Fuzzy Logic; MPPT; PID-Fuzzy controller; Photovoltaic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Energy and Power Systems (IEPS), 2014 IEEE International Conference on
  • Conference_Location
    Kiev
  • Print_ISBN
    978-1-4799-2265-9
  • Type

    conf

  • DOI
    10.1109/IEPS.2014.6874195
  • Filename
    6874195