Analysis of DC converters for wind generators
Author(s) -
Vladimir Lazarov,
Daniel Roye,
Zahari Zarkov,
Dimitar Spirov
Publication year - 2009
Publication title -
facta universitatis - series electronics and energetics
Language(s) - English
Resource type - Journals
eISSN - 2217-5997
pISSN - 0353-3670
DOI - 10.2298/fuee0902235l
Subject(s) - converters , rectifier (neural networks) , generator (circuit theory) , boost converter , inverter , power (physics) , electrical engineering , voltage , wind power , computer science , electronic engineering , engineering , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
The present paper investigates the system behavior of a rect ifier and a DC- boost converter used in a wind generator with variable speed . In many cases a combi- nation of diode rectifier and a DC boost converter is used as in terface between the gen- erator and the inverter in order to match the requirements fo r the DC bus voltage. Dif- ferent models of the converters have been developed in Malab/Simulink and PSPICE environments. Comparison between the simulations and experiments is shown. The power losses are also discussed.
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