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
Link To Document :
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