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Wind Energy
Article . 2009 . Peer-reviewed
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Optimal positioning of wind turbines on Gökçeada using multi‐objective genetic algorithm

Authors: Sisbot, S; Turgut, O; Tunc, M; Camdali, U;

Optimal positioning of wind turbines on Gökçeada using multi‐objective genetic algorithm

Abstract

AbstractThis 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.

Country
Turkey
Keywords

Multi-objective Genetic Algorithm, Optimum Localization, wind farms, 006, multi-objective genetic algorithm, Gokçeada island, Gokceada Island, Multi-objective genetic algorithm, optimum localization, Wind farms, Wind Farms, Optimum localization

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
120
Top 10%
Top 1%
Top 10%
8
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