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Energetic macroscopic representation control method for a hybrid-source energy system including wind, hydrogen, and fuel cell

Authors :
Chuang Liu
Xiangping Chen
Xiaoshun Dong
Tiejiang Yuan
Wenping Cao
Juan Hu
Source :
Journal of Renewable and Sustainable Energy. 10:043308
Publication Year :
2018
Publisher :
AIP Publishing, 2018.

Abstract

This paper proposes a new control method for a hybrid energy system. A wind turbine, a hydrogen energy storage system, and a proton exchange membrane fuel cell are utilized in the system to balance the load and supply. The system is modeled in MATLAB/Simulink and is controlled by an improved energetic macroscopic representation (EMR) method in order to match the load profile with wind power. The simulation and test results have proved that (1) the proposed system is effective to meet the varying load demand with fluctuating wind power inputs, (2) the hybrid energy storage system can improve the stability and fault-ride-through performance of the system, and (3) the dynamic response of the proposed system is satisfactory to operate with wind turbines, energy storage, and fuel cells under EMR control.

Details

ISSN :
19417012
Volume :
10
Database :
OpenAIRE
Journal :
Journal of Renewable and Sustainable Energy
Accession number :
edsair.doi...........c3f719facdc3ba7cb878a563fc65277e