Wind farm layout optimization using genetic algorithm and its application to Daegwallyeong wind farm

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This paper proposes a new wind farm layout optimization methodology based on a genetic algorithm by implementing a simulation model considering wake effect. This method consists of (1) batch optimization to efficiently obtain a rough wind farm layout for the maximum energy production in a large scale, and (2) post-optimization to obtain a refined layout to further improve the energy production in a small scale. The proposed two-step optimization enables to efficiently optimize wind farm layout and thus can be applicable to layout optimization of large-scale wind farms. A case study with the actual Daegwallyeong wind farm shows that wake loss is improved by 2.3% point after the proposed layout optimization which means about 2.5% more energy production compared with the existing layout.
Publisher
Springer
Issue Date
2019-12
Language
English
Citation

JMST Advances, v.1, no.4, pp.249 - 257

ISSN
2524-7905
URI
http://hdl.handle.net/10203/270011
Appears in Collection
ME-Journal Papers(저널논문)
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