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Improvement of Wind-Generator Stability by Fuzzy-Logic-Controlled SMES

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5 Author(s)
Ali, M.H. ; Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON ; Minwon Park ; In-Keun Yu ; Murata, T.
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This paper proposes a fuzzy-logic-controlled superconducting magnetic energy storage (SMES) scheme for the stabilization of grid-connected wind-generator systems. The control scheme of SMES is based on a sinusoidal pulsewidth-modulation voltage-source converter and a two-quadrant dc-dc chopper using an insulated-gate bipolar transistor. A comparative study is carried out between the proposed fuzzy-logic-controlled SMES and the fuzzy-logic-based pitch controller to improve the wind- generator stability. Simulation results demonstrate that the performance of the proposed fuzzy-logic-controlled SMES is better than that of the fuzzy-logic-based pitch controller in order to stabilize the wind generator.

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Industry Applications, IEEE Transactions on  (Volume:45 ,  Issue: 3 )