A new constraint handling method for wind farm layout optimization with lands owned by different owners

Wang, Longyan, Tan, Andy C.C., Gu, YuanTong, & Yuan, Jianping (2015) A new constraint handling method for wind farm layout optimization with lands owned by different owners. Renewable Energy, 83, pp. 151-161.

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For wind farm optimizations with lands belonging to different owners, the traditional penalty method is highly dependent on the type of wind farm land division. The application of the traditional method can be cumbersome if the divisions are complex. To overcome this disadvantage, a new method is proposed in this paper for the first time. Unlike the penalty method which requires the addition of penalizing term when evaluating the fitness function, it is achieved through repairing the infeasible solutions before fitness evaluation. To assess the effectiveness of the proposed method on the optimization of wind farm, the optimizing results of different methods are compared for three different types of wind farm division. Different wind scenarios are also incorporated during optimization which includes

(i) constant wind speed and wind direction;

(ii) various wind speed and wind direction, and;

(iii) the more realisticWeibull distribution.

Results show that the performance of the new method varies for different land plots in the tested cases. Nevertheless, it is found that optimum or at least close to optimum results can be obtained with sequential land plot study using the new method for all cases. It is concluded that satisfactory results can be achieved using the proposed method. In addition, it has the advantage of flexibility in managing the wind farm design, which not only frees users to define the penalty parameter but without limitations on the wind farm division.

Impact and interest:

5 citations in Scopus
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4 citations in Web of Science®

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ID Code: 84120
Item Type: Journal Article
Refereed: Yes
Keywords: Wind farm, Optimization, Land divisions, Penalty method, Repair method, Fitness evaluation
DOI: 10.1016/j.renene.2015.04.029
ISSN: 0960-1481
Divisions: Current > Schools > School of Chemistry, Physics & Mechanical Engineering
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2015 Elsevier
Deposited On: 14 May 2015 04:14
Last Modified: 21 May 2015 05:10

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