Wind Farm Layout Optimization Using a Viral Systems Algorithm

Jose F. Espiritu and Carlos M. Ituarte-Villarreal
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Jose F. Espiritu: Department of Industrial, Manufacturing and Systems Engineering, The University of Texas, Austin, TX, USA
Carlos M. Ituarte-Villarreal: Environmental Science and Engineering Program, The University of Texas, Austin, TX, USA

International Journal of Applied Evolutionary Computation (IJAEC), 2013, vol. 4, issue 4, 27-40

Abstract: In the present research a new viral systems optimization algorithm is developed to find the optimal number and position of wind turbines in large wind farms with the main objective of minimizing the cost per unit power produced from the wind park. The developed algorithm is applied to three well known problems in literature which are: 1) constant wind speed and unidirectional uniform wind, 2) constant wind speed with variable direction, and 3) non-uniform variable wind speed with variable direction. In the final results, the distance between two wind turbines is reduced to one meter, compared to 5 rotor diameters in previous studies.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:4:y:2013:i:4:p:27-40

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