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A novel method for optimal placing wind turbines in a wind farm using particle swarm optimization (PSO)

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4 Author(s)
Rasoul Rahmani ; Faculty of Electrical Power Engineering, Universiti Teknologi Malaysia, Johor 81310, Malaysia ; A. Khairuddin ; Sam M. Cherati ; H. A. Mahmoud Pesaran

In this paper, for the first time a particle swarm optimization (PSO) method is utilized to optimize placing of wind turbines in a wind park. The location of each wind turbine could be freely adjusted within a predefined cell in order to maximize the generated energy. Simulated results and graphs are carried out to prove that the present study is improved wind farm efficiency and extract more electrical power in respect of the total costs.

Published in:

IPEC, 2010 Conference Proceedings

Date of Conference:

27-29 Oct. 2010