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

Abdenour Abdelli | Zendy; Bruno Sareni | Zendy; Xavier Roboam | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

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

Author(s) -

Abdenour Abdelli,

Bruno Sareni,

Xavier Roboam

Publication year - 2007

Publication title -

international journal of applied electromagnetics and mechanics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.239

H-Index - 30

eISSN - 1875-8800

pISSN - 1383-5416

DOI - 10.3233/jae-2007-906

Subject(s) - generator (circuit theory) , genetic algorithm , computer science , turbine , multi objective optimization , wind generator , wind power , mathematical optimization , algorithm , engineering , mathematics , mechanical engineering , electrical engineering , physics , power (physics) , quantum mechanics

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research