Evolutionary computation for wind farm layout optimization

Wilson, Dennis and Rodrigues, Silvio and Segura, Carlos and Loshchilov, Ilya and Hutter, Frank and Buenfil, Guillermo López and Kheiri, Ahmed and Keedwell, Ed and Ocampo-Pineda, Mario and Özcan, Ender and Peña, Sergio Ivvan Valdez and Goldman, Brian and Rionda, Salvador Botello and Hernández-Aguirre, Arturo and Veeramachaneni, Kalyan and Cussat-Blanc, Sylvain (2018) Evolutionary computation for wind farm layout optimization. Renewable Energy, 126. pp. 681-691. ISSN 0960-1481

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Abstract

This paper presents the results of the second edition of the Wind Farm Layout Optimization Competition, which was held at the 22nd Genetic and Evolutionary Computation COnference (GECCO) in 2015. During this competition, competitors were tasked with optimizing the layouts of five generated wind farms based on a simplified cost of energy evaluation function of the wind farm layouts. Online and offline APIs were implemented in C++, Java, Matlab and Python for this competition to offer a common framework for the competitors. The top four approaches out of eight participating teams are presented in this paper and their results are compared. All of the competitors' algorithms use evolutionary computation, the research field of the conference at which the competition was held. Competitors were able to downscale the optimization problem size (number of parameters) by casting the wind farm layout problem as a geometric optimization problem. This strongly reduces the number of evaluations (limited in the scope of this competition) with extremely promising results.

Item Type:
Journal Article
Journal or Publication Title:
Renewable Energy
Additional Information:
This is the author’s version of a work that was accepted for publication in Renewable Energy. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Renewable Energy, 126, 2018 DOI: 10.1016/j.renene.2018.03.052
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2100/2105
Subjects:
ID Code:
124272
Deposited By:
Deposited On:
26 Mar 2018 15:02
Refereed?:
Yes
Published?:
Published
Last Modified:
20 Sep 2020 04:43