Title :
Optimal control of wind turbines for minimizing overall 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
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; minimisation; offshore installations; optimal control; power generation control; wakes; wind power plants; wind turbines; genetic algorithm; offshore wind farm; optimal control; overall wake effect loss minimization; pitch angle control; power production maximization; production model; tip speed ratio; wake effect performance optimization; wind turbine power coefficient dependence; wind turbines; Genetic algorithms; Optimization; Rotors; Wind farms; Wind speed; Wind turbines; Genetic Algorithm; Offshore Wind Farm; Wake effect; Wind energy; Wind farm; Wind turbine control;
Conference_Titel :
EUROCON, 2013 IEEE
Conference_Location :
Zagreb
Print_ISBN :
978-1-4673-2230-0
DOI :
10.1109/EUROCON.2013.6625122