icee2013 , 2013-05-14

Title : ( Wind Turbine Power Tracking Using Multiple Model Predictive Control )

Authors: salehe afsharian , Ali Karimpour ,

Citation: BibTeX | EndNote

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

, Variable Speed Pitch Regulated Wind Turbines, Power Control, Multiple Model Predictive Control
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@inproceedings{paperid:1036151,
author = {Afsharian, Salehe and Karimpour, Ali},
title = {Wind Turbine Power Tracking Using Multiple Model Predictive Control},
booktitle = {icee2013},
year = {2013},
location = {IRAN},
keywords = {Variable Speed Pitch Regulated Wind Turbines; Power Control; Multiple Model Predictive Control},
}

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%0 Conference Proceedings
%T Wind Turbine Power Tracking Using Multiple Model Predictive Control
%A Afsharian, Salehe
%A Karimpour, Ali
%J icee2013
%D 2013

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