Optimal evolutionary wind turbine placement in wind farms considering new models of shape, orography and wind speed simulation

  • Authors:

  • B. Saavedra-Moreno;S. Salcedo-Sanz;A. Paniagua-Tineo;J. Gascón-Moreno;J. A. Portilla-Figueras

  • Affiliations:

  • Department of Signal Theory and Communications, Universidad de Alcalá, Alcalá de Henares, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain;Department of Signal Theory and Communications, Universidad de Alcalá, Madrid, Spain

  • Venue:
  • IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
  • Year:
  • 2011

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Abstract

In this paper we present a novel evolutionary algorithm for optimal positioning of wind turbines in wind farms. We consider a realistic model for the wind farm, which includes orography, shape of the wind farm, simulation of the wind speed and direction, and costs of installation, connection and road construction among wind turbines. Several experiments show that the proposed evolutionary approach obtains very good solutions which maximize power production, and takes into account the different constraints of the problem.