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Windmill farm pattern optimization using evolutionary algorithms

Vanaret, Charlie and Durand, Nicolas and Alliot, Jean-Marc Windmill farm pattern optimization using evolutionary algorithms. (2014) In: Genetic and Evolutionary Computation COnference - GECCO 2014, 12 July 2014 - 16 July 2014 (Vancouver, Canada).

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Official URL: http://dx.doi.org/10.1145/2598394.2598506

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, by 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 the computation time.

Item Type:Conference or Workshop Item (Paper)
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Ecole Nationale de l'Aviation Civile - ENAC (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited By: IRIT IRIT
Deposited On:18 May 2015 12:05

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