Control of a Grid Connected Wind Energy Conversion System By using Sliding Mode Control (SMC)
K. Geetha Sai Sree1, M. Sunilkumar2, Ch. Prasanna Lakshmi3
1K. Geetha Sai Sree, M.Tech Scholar, Department of Electronics and Electrical Engineering, Sir C R Reddy College of Engineering, Eluru (A.P), India.
2M. Sunilkumar, Assistant Professor, Department of Electronics and Electrical Engineering, Sir C R Reddy College of Engineering, Eluru (A.P). India.
3Ch. Prasanna Lakshmi, Assistant Professor, Department of Electronics and Electrical Engineering, Sir C R Reddy College of Engineering, Eluru (A.P), India.
Manuscript received on 10 December 2017 | Revised Manuscript received on 18 December 2017 | Manuscript Published on 30 December 2017 | PP: 83-88 | Volume-7 Issue-2, December 2017 | Retrieval Number: B5245127217/17©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: As the penetration of the wind energy is increased day by day in modern power systems all over the world, the Wind Farm Systems (WFS) are today required to participate actively in electric network operation by an appropriate generation control strategy. The paper deals with the extraction of maximum power using various techniques in permanent magnet wind energy conversion systems. The various techniques include PI control, SMC control and neural control to extract maximum power from the turbine. The d axis current is set to zero to reduce copper loss and the q axis current is varied to extract maximum power. Out of the two loops PI controllers are employed in current loop and the speed controller is varied according to the controller used. A sliding mode control strategy is used to regulate the output voltage and frequency of the grid. The active and reactive powers injected to the grid are controlled by controlling the d and q axis currents. Results are verified using Matlab/Simulink environment
Keywords: Permanent Magnet Synchronous Generator (PMSG), Model Reference Adaptive System (MRAS), Estimated Speed, Optimum Speed, Sliding Mode Control (SMC), PI Control, Neural Control, PMSG Power With Various Controllers.
Scope of the Article: Robotics and Control