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Optimal number of DFIG wind turbines in farm using Pareto genetic algorithm to minimize cost and turbines fault effect.

Abdelouahab KhattaraMohamed BecherifMohamed-Yacine AyadMbarek BahriAbdennacer Aboubou
Published in: IECON (2013)
Keyphrases
  • wind turbine
  • genetic algorithm
  • artificial neural networks
  • multi objective
  • fault diagnosis
  • neural network
  • evolutionary computation
  • wind speed
  • differential evolution
  • bp neural network
  • decision variables
  • fixed cost