Wind Farm Layout Optimization Using a Viral Systems Algorithm

Wind Farm Layout Optimization Using a Viral Systems Algorithm

Jose F. Espiritu (Department of Industrial, Manufacturing and Systems Engineering, The University of Texas, Austin, TX, USA) and Carlos M. Ituarte-Villarreal (Environmental Science and Engineering Program, The University of Texas, Austin, TX, USA)
Copyright: © 2013 |Pages: 14
DOI: 10.4018/ijaec.2013100102
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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.
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2. Previous Work

Renewable energy sources such as wind, solar and biomass, among others have gained importance and several efforts are being made to improve the efficiency of the different renewable energy technologies. When designing a wind farm and analyzing the optimal placement of the wind turbines in the wind farm, the wake and its impact on the power output of the wind turbine has to be taken into account, several models for the analysis of the wake have been developed in the past by many researchers, these models are usually divided into two main categories which are; 1. analytical models (Jensen, 1983, Larsen, 1988; Ishihara et al., 2004) and 2. computational models (Crespo et al., 1999; Crasto and7 Gravdahl, 2008).

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