Optimal positioning of wind turbines on Gokceada using multi-objective genetic algorithm

被引：109

作者：

Sisbot, Sedat ^{[2
]}

Turgut, Oezgue ^{[2
]}

Tunc, Murat ^{[2
]}

Camdali, Uenal ^{[1
]}

机构：

[1] Abant Izzet Baysal Univ, Fac Engn & Architecture, Dept Mech Engn, TR-14280 Bolu, Turkey

[2] Yeditepe Univ, Fac Engn, Dept Syst Engn, TR-34755 Istanbul, Turkey

来源：

WIND ENERGY | 2010年 / 13卷 / 04期

关键词：

wind farms; multi-objective genetic algorithm; optimum localization; Gokceada Island; ISLAND;

D O I：

10.1002/we.339

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper addresses the problem of optimal placement of wind turbines in a farm on Gokceada 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 (C) 2009 John Wiley & Sons, Ltd.

引用

页码：297 / 306

页数：10

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