CLC number: TP274; TM911.4
On-line Access:
Received: 2008-03-04
Revision Accepted: 2009-01-15
Crosschecked: 2008-12-26
Cited: 8
Clicked: 8866
Masoud Aliakbar GOLKAR, Amin HAJIZADEH. Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation[J]. Journal of Zhejiang University Science A, 2009, 10(4): 488-496.
@article{title="Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation",
author="Masoud Aliakbar GOLKAR, Amin HAJIZADEH",
journal="Journal of Zhejiang University Science A",
volume="10",
number="4",
pages="488-496",
year="2009",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.A0820151"
}
%0 Journal Article
%T Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation
%A Masoud Aliakbar GOLKAR
%A Amin HAJIZADEH
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 4
%P 488-496
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820151
TY - JOUR
T1 - Control strategy of hybrid fuel cell/battery distributed generation system for grid-connected operation
A1 - Masoud Aliakbar GOLKAR
A1 - Amin HAJIZADEH
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 4
SP - 488
EP - 496
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820151
Abstract: This paper presents a control strategy of a hybrid fuel cell/battery distributed generation (HDG) system in distribution systems. The overall structure of the HDG system is given, dynamic models for the solid oxide fuel cell (SOFC) power plant, battery bank and its power electronic interfacing are briefly described, and controller design methodologies for the power conditioning units and fuel cell to control the power flow from the hybrid power plant to the utility grid are presented. To distribute the power between the fuel cell power plant and the battery energy storage, a neuro-fuzzy controller has been developed. Also, for controlling the active and reactive power independently in distribution systems, the current control strategy based on two fuzzy logic controllers has been presented. A Matlab/Simulink simulation model is developed for the HDG system by combining the individual component models and their controllers. Simulation results show the overall system performance including load-following and power management of the HDG system.
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