Open AccessOptimal positioning of wind turbines on Gökçeada using multi‐objective genetic algorithm
Author(s) -
Şişbot Sedat,
Turgut Özgü,
Tunç Murat,
Çamdalı Ünal
Publication year - 2010
Publication title -
wind energy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 92
eISSN - 1099-1824
pISSN - 1095-4244
DOI - 10.1002/we.339
Subject(s) - wind power , wake , genetic algorithm , pareto principle , wind speed , marine engineering , power (physics) , mathematical optimization , multi objective optimization , computer science , engineering , meteorology , mathematics , electrical engineering , aerospace engineering , geography , physics , quantum mechanics
This paper addresses the problem of optimal placement of wind turbines in a farm on Gokçeada Island located at the north‐east of Aegean Sea bearing full potential of wind energy generation. A multi‐objective genetic algorithm approach is employed to obtain optimal placement of wind turbines by maximizing the power production capacity while constraining the budget of installed turbines. Considering the speed and direction history, wind with constant intensity from a single direction is used during optimization. This study is based on wake deficit model mainly because of its simplicity, accuracy and fast calculation time. The individuals of the Pareto optimal solution set are evaluated with respect to various criteria, and the best configurations are presented. In addition to best placement layouts, results include objective function values, total power output, cost and number of turbines for each configuration. Copyright © 2009 John Wiley & Sons, Ltd.