Modeling, Simulation and Perfomance Analysis of AC-DC-AC PWM Converters Based Wind Energy Conversion System
Kapil Parikh1, Ashish Maheshwari2, Vinesh Agarwal3
1Kapil Parikh, Department of Electrical, Institute of technology and management, Bhilwara (Rajasthan), India.
2Ashish Maheshwari, Department of Electrical, Institute of technology and management, Bhilwara (Rajasthan), India.
3Vinesh Agarwal, Department of Electrical, Institute of technology and management, Bhilwara (Rajasthan), India.
Manuscript received on 21 September 2013 | Revised Manuscript received on 28 September 2013 | Manuscript published on 30 September 2013 | PP: 1-9 | Volume-2 Issue-4, September 2013 | Retrieval Number: C0707072313/2013©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: In order to send wind energy to a utility grid, a variable speed wind turbine requires a power electronic converter to convert a variable voltage variable frequency source into a fixed voltage fixed frequency supply. Generic three-phase AC-DC-AC converter, converter control methods for wind power generation, wind turbine, two mass drive train and PMSG generator are modeled in the thesis using MATLAB / SIMULINK for establishing variable-speed wind energy conversion systems. Variable speed wind power generation system modeling and simulation are essential methods both for understanding the system behavior and for developing advanced system control strategies. The developed wind energy conversion system have been validated through simulation study using MATLAB / SIMULINK, under different input/output conditions like constant wind speed, variable wind speed, and different fault conditions. The simulation results verify the validity of the developed wind energy conversion system and its controls.
Keywords: AC-DC-AC Converter, PMSG, Pitch Controller, Two Mass Drive Train, Wind Turbine, WECS
Scope of the Article: Predictive Analysis