Optimization of wind farm turbines layout using an evolutive algorithm

Javier Serrano González, Angel G. Gonzalez Rodriguez, José Castro Mora, Jesús Riquelme Santos and Manuel Burgos Payan

Renewable Energy, 2010, vol. 35, issue 8, 1671-1681

Abstract: The optimum wind farm configuration problem is discussed in this paper and an evolutive algorithm to optimize the wind farm layout is proposed. The algorithm's optimization process is based on a global wind farm cost model using the initial investment and the present value of the yearly net cash flow during the entire wind-farm life span. The proposed algorithm calculates the yearly income due to the sale of the net generated energy taking into account the individual wind turbine loss of production due to wake decay effects and it can deal with areas or terrains with non-uniform load-bearing capacity soil and different roughness length for every wind direction or restrictions such as forbidden areas or limitations in the number of wind turbines or the investment. The results are first favorably compared with those previously published and a second collection of test cases is used to proof the performance and suitability of the proposed evolutive algorithm to find the optimum wind farm configuration.

Keywords: Evolutive algorithms; Genetic algorithms; Micrositing; Optimization; Wake effect; Wind farm (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (103)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:35:y:2010:i:8:p:1671-1681

DOI: 10.1016/j.renene.2010.01.010

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