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

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 scal...

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Bibliographic Details
Published in:JMST Advances Vol. 1; no. 4; pp. 249 - 257
Main Authors: Park, Jeong Woo, An, Bo Sung, Lee, Yoon Seung, Jung, Hyunsuk, Lee, Ikjin
Format: Journal Article
Language:English
Published: Seoul Korean Society of Mechanical Engineers 01.12.2019
Subjects:
Control
Dynamical Systems
Engineering
Industrial and Production Engineering
Letters
Mechanical Engineering
Vibration
Wind farms
Jensen’s model
Daegwallyeong wind farm
Genetic algorithm
Optimization
ISSN:2524-7905, 2524-7913
Online Access:Get full text
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Summary: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.
ISSN:2524-7905
2524-7913
DOI:10.1007/s42791-019-00026-z