A mixed hybrid algorithm for integral wind farm optimum design

Authors

  • J. Castro Mora Department of Electrical Engineering, University of Seville Author
  • Á.G. González Rodríguez Department of Electronic, University of Jaén Author
  • J.M. Riquelme Santos Department of Electrical Engineering, University of Seville Author
  • M. Burgos Payán Department of Electrical Engineering, University of Seville Author

DOI:

https://doi.org/10.24084/repqj05.354

Keywords:

Wind farm, genetic algorithm, optimization techniques

Abstract

Nowadays,   the   weight   of   the   generation   of   renewable  energies  has  grown  spectacularly  with  regard  to  other  conventional  energies.  This  is  due  to  diverse  factors:  a  bigger  environmental  concern  (Kyoto  protocol,  white-book  in  EU,  etc.),  the  raising  prices  of  the  traditional  fuels,  etc.  On  the  other hand, wind power has experienced a bigger grown, among the  renewable  energies.  That  is  why  the  development  of  an  effective  tool  for  the  design  and  lay-out  of  wind  farms  has  a  special relevance.

This paper present a mix of evolutionary algorithms to look for the  optimum  integral  design  of  the  wind  park  taking  into  account  all  the  part  involved:  number  of  wind  generators,  the  type  and  the  height  of  the  wind  generators,  its  location,  the  number  and  location  of  substations,  the  best  layout  of  low-voltage    and    high-voltage    lines    among    wind    generators,    substations and the existing transmission lines, etc.

Due  to  problem  complexity,  and  as  a  first  approach,  the  global  optimization problem has been splitted in two main (uncoupled) parts,  first  the  wind  generators  lay  out  and  then  the  network  configuration. 

Published

2024-01-12

Issue

Section

Articles