DocumentCode :
3267983
Title :
Optimum wind turbines operation for minimizing wake effect losses in offshore wind farms
Author :
Serrano Gonzalez, Javier ; Burgos Payan, Manuel ; Riquelme Santos, Jesus
Author_Institution :
Dept. of Electr. Eng., Univ. of Seville, Seville, Spain
fYear :
2013
fDate :
1-3 Nov. 2013
Firstpage :
188
Lastpage :
192
Abstract :
This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.
Keywords :
genetic algorithms; offshore installations; wind power plants; wind turbines; genetic algorithm; offshore wind farm; optimum wind turbine operation; pitch angle control; wake effect loss minimization; Genetic algorithms; Optimization; Rotors; Wind farms; Wind speed; Wind turbines; Genetic Algorithm; Offshore Wind Farm; Wake effect; Wind energy; Wind farm; Wind turbine control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 13th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4799-2802-6
Type :
conf
DOI :
10.1109/EEEIC-2.2013.6737905
Filename :
6737905
Link To Document :
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