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Optimal siting of wind turbines using real-coded genetic algorithms

European Wind Energy Conference and Exhibition 2009, EWEC 2009 (2009) 6 3710-3715
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Abstract

In this paper, a real-coded genetic algorithm is utilized to optimize wind turbine placement in a wind farm. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy. Simulations are carried out to demonstrate that the present study could improve wind farm efficiency and extract more energy.

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Wan, C., Wang, J., Yang, G., & Zhang, X. (2009). Optimal siting of wind turbines using real-coded genetic algorithms. In European Wind Energy Conference and Exhibition 2009, EWEC 2009 (Vol. 6, pp. 3710–3715).

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