Windmill Farm Pattern Optimization using Evolutionary Algorithms

Charlie Vanaret, Nicolas Durand, Jean-Marc Alliot

GECCO2014

2014/07/12

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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.

Keywords: Optimisation, algorithme génétique, CSP, méthode mixte.

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BibTeX entry:

@InProceedings{gecco2014,
 title = {Windmill Farm Pattern Optimization using Evolutionary Algorithms},
 author = {Charlie Vanaret and Nicolas Durand and Jean-Marc Alliot},
 booktitle = {GECCO2014},
 year = {2014}
}

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