Grid Connected Doubly Fed Induction Generator Wind Energy Conversion System using Fuzzy Controller
Pooja Dewangan1, S. D. Bharti2
1Pooja Dewangan, Department of Electrical Engineering, Chhattisgarh Swami Vivekanand Technical University, Rungta College of Engineering & Technology, Bhilai, India.
2Prof. S. D. Bharti, Associate Professor, Department of Electrical Engineering, Chhattisgarh Swami Vivekanand Technical University, Rungta College of Engineering & Technology, Bhilai, India.
Manuscript received on 09 January 2013 | Revised Manuscript received on 18 January 2013 | Manuscript Published on 30 January 2013 | PP: 119-122 | Volume-2 Issue-2, January 2013 | Retrieval Number: B0389012213 /2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents the simulation and control of a grid connected doubly-fed induction generator driven by a variable speed wind turbine. Fuzzy logic control strategy is applied to doubly fed induction generator (DFIG). The Matlab/Simulink/SimPowerSystems software is used to Simulate all the components of grid connected doubly fed induction generator (DFIG)-based wind power conversion system (WPCS). DFIG consists of a common wound rotor induction generator with slip ring and a back to back voltage source convertor. Fuzzy logic controller is applied to both grid side convertor (GSC) for dc link voltage control and rotor side convertor (RSC) for active and reactive power control. Coordinated control of the grid- and rotor side converters (GSC and RSC, respectively) is presented in the positive synchronous reference. Use of DFIG in wind turbine is widely spreading due to its control over DC voltage and active and reactive power. Conventional dq axis current control using voltage source converters for both the grid side and the rotor side of the DFIG are analyzed and simulated. Simulation results prove the excellent performance of fuzzy control unit as improving power quality and stability of wind turbine.
Keywords: Doubly Fed Induction Generator (DFIG), Fuzzy Logic Controller (FLC), Wind Energy Conversion System (WECS)
Scope of the Article: Fuzzy Logic