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Comparative study of a small size wind generation system efficiency for battery charging
Author(s) -
Messaoud Mayouf,
Rachid Abdessemed
Publication year - 2013
Publication title -
serbian journal of electrical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 5
eISSN - 2217-7183
pISSN - 1451-4869
DOI - 10.2298/sjee120707003m
Subject(s) - rectifier (neural networks) , duty cycle , boost converter , turbine , battery (electricity) , pulse width modulation , control theory (sociology) , engineering , matlab , wind power , voltage , power (physics) , maximum power principle , electrical engineering , power optimizer , automotive engineering , computer science , maximum power point tracking , control (management) , inverter , physics , mechanical engineering , stochastic neural network , quantum mechanics , machine learning , artificial intelligence , recurrent neural network , artificial neural network , operating system
This paper presents an energetic comparison between two control strategies of a small size wind generation system for battery charging. The output voltage of the direct drive PMSG is connected to the battery through a switch mode rectifier. A DC-DC boost converter is used to regulate the battery bank current in order to achieve maximum power from the wind. A maximum powertracking algorithm calculates the current command that corresponds to maximum power output of the turbine. The DC-DC converter uses this current to calculate the duty cycle witch is necessary to control the pulse width modulated (PWM) active switching device (IGPT). The system overview and modeling are presented including characteristics of wind turbine, generator, batteries, power converter, control system, and supervisory system. A simulation of the system is performed using MATLAB/SIMULINK

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