Simulation and Analysis of DFIG System with Wind Turbine Implementing Fuzzy Logic Control
Karanam Deepak1, Talari Aparna2, A.Suresh Kumar3, P Siva Deepthi4, Y Hazarathaiah5
1Karanam Deepak*, Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, Kurnool, (Andhra Pradesh), India.
2Talari Aparna, Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, (Andhra Pradesh), India.
3A Suresh Kumar, Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, (Andhra Pradesh), India.
4P Siva Deepthi, Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, (Andhra Pradesh), India.
5Y Hazarathaiah, Assistant Professor Department of Electrical & Electronics Engineering, G. Pullaiah College of Engineering and Technology, Near Venkayapalle, Pasupula Village, (Andhra Pradesh), India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 2764-2771 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8823088619/2019©BEIESP | DOI: 10.35940/ijeat.F8823.088619
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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: A doubly-fed induction generator (DFIG) applied to wind power generation driven by wind turbine is under study for low voltage ride-through application during system unbalance. 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. An improved control and operation of DFIG system under unbalanced grid voltage conditions by coordinating the control of both the rotor side converter (RSC) and the grid side converter (GSC) is done in this thesis. Simulation and analysis of DFIG system with wind turbine using Fuzzy logic controller for RSC and GSC under unbalanced condition is presented in the positive synchronous reference frame. The common DC-link voltage is controlled by grid side converter and control of DFIG’s stator output active and reactive power is controlled by rotor side converter. The steady-state operation of the DFIG and its dynamic response to voltage sag resulting from a remote fault on the 120-kV system is shown in this thesis using controllers. Modeling of DFIG system under Fuzzy logic controller to control voltage and active-reactive powers is done using MATLAB, SIMULINK.
Keywords: Doubly-fed induction generator (DFIG), rotor side converter (RSC), grid side converter (GSC).