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http://dx.doi.org/10.5391/JKIIS.2010.20.2.243

Design of Nonlinear Controller for Variable Speed Wind Turbines based on Kalman Filter and Artificial Neural Network  

Moon, Dae-Sun (군산대학교 전자정보공학부)
Kim, Sung-Ho (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.2, 2010 , pp. 243-250 More about this Journal
Abstract
As the wind has become one of the fastest growing renewable energy sources, the key issue of wind energy conversion systems is how to efficiently operate the wind turbines in a wide range of wind speeds. Compared to fixed speed turbines, variable speed wind turbines feature higher energy yields, lower component stress and fewer grid connection power peaks. Generally, measurement of wind speed is required for the control of variable speed wind turbine system. However, wind speed measured by anemometers is not accurate owing to various reasons. In this work, a new control algorithm for variable speed wind turbine system based on Kalman filter which can be used for the estimation of wind speed and artificial neural network which can generate optimum rotor speed is proposed. Also, to verify the feasibility of the proposed scheme, various simulation studies are carried out by using Simulink in Matlab.
Keywords
Wind turbine generating system; Variable speed wind turbine system; Fixed speed wind turbine system; Estimation of wind speed; Kalman filter; Artificial Neural Network;
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