Studies on horizontal axis wind turbine electric generation system with variable speed control

Author(s):  
Y. Shimizu ◽  
M. Takada ◽  
H. Fujiwara ◽  
Y. Yasui ◽  
T. Maeda ◽  
...  
2016 ◽  
Vol 63 (12) ◽  
pp. 7754-7764 ◽  
Author(s):  
Dan-Yong Li ◽  
Wen-Chuan Cai ◽  
Peng Li ◽  
Zi-Jun Jia ◽  
Hou-Jin Chen ◽  
...  

2014 ◽  
Vol 661 ◽  
pp. 154-159
Author(s):  
Muhammad Nizam Kamarudin ◽  
Abdul Rashid Husain ◽  
Mohamad Noh Ahmad

Often in prominent literature, the appearance of external stiffness in wind turbine dynamical model has been neglected. The ignorance of external stiffness eliminates the presence of rotor-side angular deviation in the system dynamic. In order to give more practical look of the variable speed control system structure, we develop a linear observer to estimate the rotor angular deviation. We use Linear Quadratic Regulator (LQR) to design the observer gain, as well as the estimation error gain. To facilitate observer design, the system is linearized around its origin by using Jacobian matrix. By using the estimated rotor angular deviation, we design a variable speed control via Lyapunov and Arstein to enhance power output from the turbine.


2011 ◽  
Vol 2011.16 (0) ◽  
pp. 359-362
Author(s):  
Toshiyuki ASO ◽  
Katsuya IIDA ◽  
Tomoyuki AIDA ◽  
Akihiro UNNO ◽  
Yuuki HAYASHI ◽  
...  

2011 ◽  
Vol 311-313 ◽  
pp. 2393-2396 ◽  
Author(s):  
Wei Na Wang ◽  
Ru Mei Li ◽  
Yong Duan Song ◽  
Yong Sheng Hu ◽  
Xub Kui Zhang

The uncertain and random characteristics of wind energy make the problem of wind turbine control interesting and challenging. This work investigates an adaptive method for variable speed control of wind turbines under varying operation conditions. For fixed-speed operation of wind turbines, maximum power conversion can be achieved only at a particular wind speed, thus variable speed control of wind turbines is of practical interest in enhancing wind turbine operating efficiency over wide wind speeds. Based on the nonlinear dynamic model of wind turbine, adaptive algorithms are developed in accommodating unknown system parameter uncertainties. This method is shown to be able to achieve smooth and effective tracking of rotor angular speed to capture maximum wind energy. The effectiveness and adaptation of the proposed approach is validated via numerical simulation.


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