Particle Swarm Optimization (PSO) algorithm for wind farm optimal design

In this paper, a PSO algorithm for optimal design of wind farm is presented. In particular, we solve the problem of minimizing the cost per unit of power produced in a wind farm. This cost depends on the number of turbines placed in a wind farm and the total power produced. In order to solve this pr...

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Bibliographic Details
Published in:International journal of management science and engineering management 2010-01, Vol.5 (1), p.53-58
Main Authors: Aristidis, Vlachos, Maria, Papageorgaki, Christos, Lytras
Format: Article
Language:English
Subjects:
optimization
Particle Swarm Optimization
wind farm
wind turbines
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Summary:In this paper, a PSO algorithm for optimal design of wind farm is presented. In particular, we solve the problem of minimizing the cost per unit of power produced in a wind farm. This cost depends on the number of turbines placed in a wind farm and the total power produced. In order to solve this problem, the algorithm PSO is used and in particular the gbest model. In this problem we take into account the number of turbines which are placed in a wind farm, the power produced by each one of them and the velocity of the wind which affects their function. The gbest model of the PSO algorithm is used for a wind farm which consists of 10, 20 and 30 wind turbines.
ISSN:1750-9653
1750-9661
DOI:10.1080/17509653.2010.10671091