Windmill Farm Pattern Optimization using Evolutionary AlgorithmsReport as inadecuate

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1 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l-Aérien 2 IRIT - Institut de recherche en informatique de Toulouse

Abstract : When designing a wind farm layout, we can reduce the number of variables by optimizing a pattern instead of considering the position of each turbine. In this paper we show that when reducing the problem to only two variables defining a grid, we can gain up to 3% of energy output on simple examples of wind farms dealing with many turbines up to 1000 while dramatically reducing computation time. To achieve these results, we compared both a genetic algorithm and a differential evolution algorithm to previous results from the literature. These preliminary results should be extended to examples involving non-rectangular farm layouts and wind distributions that may require pattern deformation variables in order to increase solution diversity.

Keywords : black box optimization evolutionary algorithms wind farm

Author: Charlie Vanaret - Nicolas Durand - Jean-Marc Alliot -



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