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Journal articles
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.
Cited literature [5 references]
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 : Thursday, July 15, 2021 - 2:08:02 PM
Long-term archiving on: : Tuesday, March 12, 2013 - 4:25:09 AM
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Tuesday, December 11, 2012 - 11:43:14 AM
Last modification on : Thursday, July 15, 2021 - 2:08:02 PM
Long-term archiving on: : Tuesday, March 12, 2013 - 4:25:09 AM
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abdelli_7979.pdf
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