TK323 : Maximum Efficiency Tracking of Fuel Cells in Hybrid Fuel Cell/ Energy Storage Power Generation Systems
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2013
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Abstarct: In recent years, using of renewable energy resources have been increased. Among them, fuel cells are very promising. Due to the increasing usage of these sources in the automotive and army industries and the importance of their efficiency in the industry, this thesis has proposed a control method to tracking the maximum efficiency of fuel cell power sources.
In this thesis, a hybrid fuel cell - battery power generation system is considered. The boost converter is used to control of fuel cell power system. The proposed control method for tracking maximum efficiency consists of two parts. First part is control of input fuel (hydrogen) and second part is control of fuel cell current by using of perturbation and observation algorithm. This control method has been applied for different conditions on hybrid power system. Simulation results are presented for uncontrolled and controlled conditions and they are shown increasing of fuel cell efficiency in hybrid power generation system. Simulation and control strategy are implemented in MATLAB/SIMUlixnk software.
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Keeping place: Central Library of Shahrood University
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Keeping place: Central Library of Shahrood University
Visitor: