DocumentCode :
2341503
Title :
Nonlinear Model Predictive control (NMPC) of fixed pitch variable speed wind turbine
Author :
Dang, D.Q. ; Wang, Y. ; Cai, W.
Author_Institution :
Sch. of Electr. Electron. Eng., Nanyang Technol. Univ., Singapore
fYear :
2008
fDate :
24-27 Nov. 2008
Firstpage :
29
Lastpage :
33
Abstract :
Wind power has become one of the most attractive energy systems in several decades due to its rich wind power available and high turn back value than other types of renewable energy systems. The classical wind turbines are normally fixed pitch constant speed which have less power efficient and high dynamics loads that results in reducing life cycle of system. To overcome this disadvantage, modern generation of wind turbine with variable speed is now widely used. However, wind energy conversion system that includes complex combination of aero dynamics and electrical phenomena together with anonymous action of wind speed making control system sophisticated. Despite if a great deal of research has been focus on wind turbines in the literature. In this paper, we present advanced control algorithm Nonlinear Model Predictive Control (NMPC) regulating shaft speed to capture as much as possible power and keep it below maximum level at high wind speed. Because of the limitation of power electronics devices, the generation torque is also restricted below maximum value. All these constraints are naturally handled by NMPC algorithm which is promising control theory interested by many researchers resent years. The algorithm is validated by simulation and later is hardware realization of controller.
Keywords :
power generation control; predictive control; torque control; wind power plants; wind turbines; advanced control algorithm; fixed pitch variable speed wind turbine; generation torque control; nonlinear model predictive control; renewable energy systems; wind energy conversion system; wind power; Aerodynamics; Nonlinear dynamical systems; Power system modeling; Predictive control; Predictive models; Renewable energy resources; Wind energy; Wind energy generation; Wind speed; Wind turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sustainable Energy Technologies, 2008. ICSET 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1887-9
Electronic_ISBN :
978-1-4244-1888-6
Type :
conf
DOI :
10.1109/ICSET.2008.4746967
Filename :
4746967
Link To Document :
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