 Optimization of wind turbine placement in a wind farm using a new pseudo-random number generation methodSaïd Zergane, Arezki Smaili and Christian Masson Renewable Energy, 2018, vol. 125, issue C, 166-171 Abstract: In this paper, with the goal of maximizing the power production of a wind farm and reducing the wake effect resulting from front-end turbines, we present a new optimization method based on the generation of pseudo-random numbers as a mathematical approach; we have used this method along with the Jensen linear wake model in order to study optimal wind turbine positioning in a farm of given dimensions. For this purpose, a computer program has been developed to carry out numerical simulations based on the maximum total power produced. Using a typical wind turbine for uniform and unidirectional wind speed, the simulation results that we have obtained are presented and discussed. Compared to previous works based on genetic algorithms and viral basis methods, this optimization has yielded recorded enhancements of up to 6.5% on resulting wind farm power. Furthermore, we have found that an optimum number of wind turbines can be properly determined for any given wind farm. Keywords: Wind farm; Wind turbine wake; Random number generation; Optimization; Numerical simulation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:125:y:2018:i:c:p:166-171 DOI: 10.1016/j.renene.2018.02.082 Access Statistics for this article Renewable Energy is currently edited by Soteris A. Kalogirou and Paul Christodoulides More articles in Renewable Energy from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.