• DocumentCode
    3268432
  • Title

    Integration of DFIG based wind turbine and PV plant in order to reduce the number of power converters

  • Author

    Zarei, M.E. ; Asaei, Behzad ; Nezhad, Masoud Etezadi

  • Author_Institution
    Sch. of ECE, Univ. of Tehran, Tehran, Iran
  • fYear
    2013
  • fDate
    1-3 Nov. 2013
  • Firstpage
    301
  • Lastpage
    306
  • Abstract
    This paper presents an integration of doubly fed induction generator (DFIG) and photovoltaic plant which selected controllers show fast and efficient response against environmental changes. Among different methods for tracking maximum power point of solar array like perturb and observe, incremental conductance and etc., an analytical method is employed which shows a great dynamic response and tracking efficiency in different conditions. For the rotor side converter (RSC) and grid side converter (GSC) of the system, predictive direct power control (PDPC) is applied to have fast response, low switching frequency and small power ripple. Therefore by selecting the mentioned control strategies for converters, the whole system operates fast and perfectly. Since the PV plant is added to DFIG, the GSC rating is also investigated. To show the performance of system a 2 MW DFIG and 350kW PV array is utilized and simulated in Matlab/Simulink.
  • Keywords
    asynchronous generators; machine control; maximum power point trackers; photovoltaic power systems; power control; power convertors; power generation control; predictive control; rotors; wind turbines; DFIG; GSC; Matlab-Simulink; PDPC; RSC; doubly fed induction generator; grid side converter; incremental conductance; maximum power point tracking; perturb and observe; photovoltaic plant; power 2 MW; power 350 kW; power converters; predictive direct power control; rotor side converter; solar array; wind turbine; Equations; Induction generators; Mathematical model; Reactive power; Rotors; Stators; Vectors; DC-DC boost converter; PV plant; doubly fed induction generator (DFIG); fast dynamic response; integration of renewable energy sources; maximum power point (MPP); predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
  • Conference_Location
    Wroclaw
  • Print_ISBN
    978-1-4799-2802-6
  • Type

    conf

  • DOI
    10.1109/EEEIC-2.2013.6737926
  • Filename
    6737926