DocumentCode :
634102
Title :
Wind turbine power tracking using multiple model predictive control
Author :
Afsharian, Salehe ; Karimpour, Ali
Author_Institution :
Dept. of Electr. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
fYear :
2013
fDate :
14-16 May 2013
Firstpage :
1
Lastpage :
6
Abstract :
Due to the development of technology and a great demand of energy, researchers try to discover energy sources with lower pollution, so the use of wind power for generating electricity has been increasing over last few decades. Nowadays, controller design for a variable speed variable pitch wind turbine is one of the most challenges for engineers. In this paper, a multivariable control strategy based on multiple model predictive control techniques for the control of variable speed pitch regulated wind turbines in the above-rated wind speed (full region) is proposed. Pitch angle and generator torque are controlled to reduce loads by producing a rated generator power and turbine speed. The advantages of this control structure are to consider the multivariable nature of the system and using a multiple model structure to deal with the nonlinearity in the system. A 2MW wind turbine is considered to show the good performances brought by the proposed approach by presenting and discussing the simulation results.
Keywords :
multivariable control systems; nonlinear control systems; predictive control; torque control; wind power plants; wind turbines; controller design; generator torque control; multiple model predictive control; multivariable control; pitch angle control; power 2 MW; rated generator power; system nonlinearity; turbine speed; variable speed pitch regulated wind turbines; variable speed variable pitch wind turbine; wind turbine power tracking; Control systems; Generators; Mathematical model; Predictive control; Torque; Wind speed; Wind turbines; Multiple Model Predictive Control; Power Control; Variable Speed Pitch Regulated Wind Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location :
Mashhad
Type :
conf
DOI :
10.1109/IranianCEE.2013.6599648
Filename :
6599648
Link To Document :
بازگشت