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Abstract
Due to the increment of penetration level of wind power generation, output power fluctuation is one of the most important issue's that can destabilize the power system operation. This article mainly deals with the smoothing of the output power fluctuations of a wind energy conversion system based permanent magnet synchronous generator and fault ride-through enhancement during a grid fault. The concerned wind energy conversion system based permanent magnet synchronous generator adopts an AC-DC-AC converter system. The proposed control method limits the wind energy conversion system output power by adjusting the pitch angle of the wind turbine blades when wind speed is above the rated wind speed. In the grid-side converter, a fuzzy logic controller is used to determine the torque reference for which the kinetic energy stored by the inertia of wind turbine can smooth the output power fluctuations of the permanent magnet synchronous generator. Also, the DC-link voltage, controlled by the grid-side inverter, is adjusted in accordance with the output power fluctuations of the permanent magnet synchronous generator using a voltage smoothing index. Moreover, in this aticle, the proposed method ensures that the wind turbine stays operational during grid faults and provides fast restoration once the fault is cleared. To show the effectiveness of the proposed method, simulations under different conditions have been performed by using MATLAB/Simulink® (The Math Works, Natick, MA, USA).
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Notes on contributors
Alok Pratap
Alok Pratap received his B.E. in electronics and communication engineering from AMC Engineering College, Bangalore, Karnataka, India, in 2009, and, M.S. in electrical and electronics engineering from the University of the Ryukyus, Okinawa, Japan, in 2012, where he is currently working towards his PhD. Since 2009, he has been with the IHS Pvt. Ltd., Bangalore, Karnataka, India, where he is an engineer. He is a student member of IEEE, IEEJ, and IEICE. His current research interests include wind power generations, power systems, and renewable energy.
Zakaria Ziadi
Zakaria Ziadi received his engineer degree in automatics and his Master degree in automatics of industrial systems from the Ecole Nationale Polytechnique, Algiers, Algeria, in 2008 and 2010, respectively. Currently, he is a Ph.D. student in interdisciplinary intelligent systems Engineering at the Graduate School of Engineering and Science of University of the Ryukyus, Okinawa, Japan. He is a student member of IEEE, IEEJ, and IEICE. His current research interests include control applications on distributed energy resources in power systems and smart grids.
Naomitsu Urasaki
Naomitsu Urasaki received his B.S., M.S., and Ph.D. in electrical engineering from the University of the Ryukyus, Okinawa, Japan, in 1996, 1998, and 2004, respectively. Since 1998, he has been with the Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa, Japan, where he is currently an Associate Professor. He is a member of IEEE. His research interests include the areas of modeling and control of AC motors, and power electronics.
Tomonobu Senjyu
Tomonobu Senjyu received his B.S. and M.S. from the University of the Ryukyus, Okinawa, Japan, in 1986 and 1988, respectively, and his Ph.D. in electrical engineering from Nagoya University, Aichi, Japan, in 1994. Since 1988, he has been with the Department of Electrical and Electronics Engineering, Faculty of Engineering, University of the Ryukyus, Okinawa, Japan, where he is currently working as a professor. He is a senior member of IEEE. His current research interests include stability of AC machines, advanced control of electrical machines, power electronics, renewable energy, and the smart grid.