Optimization of a small passive wind turbine generator with multiobjective genetic algorithms

Abstract : In this paper Multiobjective Genetic Algorithms (MOGAs) are used for the design of a small wind turbine generator (WTG) coupled to a DC bus through a diode bridge. The originality of the considered system resides in the suppression of the Maximum Power Point Tracker (MPPT). The poor efficiency of the corresponding passive structure is considerably improved by optimizing the generator characteristics associated with the wind turbine in relation to the wind cycle. The optimized configurations are capable of matching very closely the behavior of active wind turbine systems which operate at optimal wind powers by using a MPPT control device.
Document type :
Journal articles
Complete list of metadatas

Cited literature [5 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-00763673
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Tuesday, December 11, 2012 - 11:43:14 AM
Last modification on : Friday, June 14, 2019 - 6:31:04 PM
Long-term archiving on: Tuesday, March 12, 2013 - 4:25:09 AM

File

abdelli_7979.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00763673, version 1
  • OATAO : 7979

Collections

Citation

Abdenour Abdelli, Bruno Sareni, Xavier Roboam. Optimization of a small passive wind turbine generator with multiobjective genetic algorithms. International Journal of Applied Electromagnetics and Mechanics, IOS Press 2007, vol. 26, pp.175-182. ⟨hal-00763673⟩

Share

Metrics

Record views

168

Files downloads

273