Title :
A novel method for optimal placing wind turbines in a wind farm using particle swarm optimization (PSO)
Author :
Rahmani, Rasoul ; Khairuddin, A. ; Cherati, Sam M. ; Pesaran, H. A Mahmoud
Author_Institution :
Fac. of Electr. Power Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
Abstract :
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.
Keywords :
particle swarm optimisation; wind turbines; PSO; electrical power; optimal placing wind turbines; particle swarm optimization; wind farm; wind park; Equations; Gallium; Mathematical model; Optimization; Rotors; Wind farms; Wind turbines; Particle Swarm Optimization (PSO); optimization; wind farm; wind turbine;
Conference_Titel :
IPEC, 2010 Conference Proceedings
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-7399-1
DOI :
10.1109/IPECON.2010.5697144
