Windfarm layout by using genetic algorithms

TitleWindfarm layout by using genetic algorithms
Publication TypeConference Paper
Year of Publication2014
Date Published27/06/2014
Conference NameThe Third Regional Conference on Soft Computing: IUSSCRG 2014
Publication Languageeng
AuthorsTuran, K, Dznic, A
PublisherOperation Research Society in Bosnia and Herzegovina
Place PublishedSarajevo /BIH
Abstract

Wind is one of the most promising sources of low cost alternative to traditional energy sources. The wind energy market is rapidly growing worldwide.  However, like all current technologies, industry has led to cost reduction challenges.  There are various ways of reducing the cost of producing wind power: for example, the site selection, site layout design, predictive maintenance, and optimal control system design [13]In optimized placement of wind turbines the following statements must be consideredIn wind farms or wake generated by the wind turbines, the possibility of mechanical failure would increase as well as the need for more maintenance actions, and an inevitable reduction in power output. A rule that has gained support among the scientific community is not to place turbines at a distance less than 5 rotor diameters in an attempt to minimize the impact of the wake in the turbines, and to control the reduction on its power output. In addition to considering the impact of  turbines on the others, it is important to take into account the terrain, weather conditions and wind