In this paper, the greedy algorithm is used to solve the wind turbine positioning optimization problem. Various models are employed to describe the problem, including the linear wake model, the power-law power curve model with power control mechanisms, Weibull distribution, and the profit function. The incremental calculation method is developed to consider the influence of the adding turbine on other turbines in the wind farm and accelerate the wind power assessment process. The repeated adjustment strategy is used to improve the optimized result. Three cases with simple models and a case with realistic models are used to test the present method. The results show that the greedy algorithm with repeated adjustment can obtain a better result than bionic algorithm and genetic algorithm in less computational time. The proposed greedy algorithm is an effective solution strategy for wind turbine positioning optimization.
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March 2013
Research Article|
April 05 2013
Wind turbine positioning optimization of wind farm using greedy algorithm
K. Chen;
K. Chen
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University
, Beijing 100084, People's Republic of China
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M. X. Song;
M. X. Song
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University
, Beijing 100084, People's Republic of China
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Z. Y. He;
Z. Y. He
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University
, Beijing 100084, People's Republic of China
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X. Zhang
Key Laboratory for Thermal Science and Power Engineering of Ministry of Education, Department of Engineering Mechanics, Tsinghua University
, Beijing 100084, People's Republic of China
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a)
Electronic address: [email protected].
J. Renewable Sustainable Energy 5, 023128 (2013)
Article history
Received:
December 24 2012
Accepted:
March 22 2013
Citation
K. Chen, M. X. Song, Z. Y. He, X. Zhang; Wind turbine positioning optimization of wind farm using greedy algorithm. J. Renewable Sustainable Energy 1 March 2013; 5 (2): 023128. https://doi.org/10.1063/1.4800194
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