Welcome to the InfoSci Platform
Reference Hub3
Wind Farm Layout Optimization Using a Viral Systems Algorithm

Wind Farm Layout Optimization Using a Viral Systems Algorithm

Jose F. Espiritu, Carlos M. Ituarte-Villarreal
Copyright: © 2013 |Volume: 4 |Issue: 4 |Pages: 14
ISSN: 1942-3594|EISSN: 1942-3608|EISBN13: 9781466635562|DOI: 10.4018/ijaec.2013100102
Cite Article Cite Article

MLA

Espiritu, Jose F., and Carlos M. Ituarte-Villarreal. "Wind Farm Layout Optimization Using a Viral Systems Algorithm." IJAEC vol.4, no.4 2013: pp.27-40. http://doi.org/10.4018/ijaec.2013100102

APA

Espiritu, J. F. & Ituarte-Villarreal, C. M. (2013). Wind Farm Layout Optimization Using a Viral Systems Algorithm. International Journal of Applied Evolutionary Computation (IJAEC), 4(4), 27-40. http://doi.org/10.4018/ijaec.2013100102

Chicago

Espiritu, Jose F., and Carlos M. Ituarte-Villarreal. "Wind Farm Layout Optimization Using a Viral Systems Algorithm," International Journal of Applied Evolutionary Computation (IJAEC) 4, no.4: 27-40. http://doi.org/10.4018/ijaec.2013100102

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.