TY - GEN
T1 - Optimization model for a microgrid with fuel cell vehicles
AU - Shinoda, Kazuhiko
AU - Lee, Esther Park
AU - Nakano, Masaru
AU - Lukszo, Zofia
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/25
Y1 - 2016/5/25
N2 - Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.
AB - Vehicle-to-Grid and a microgrid are emerging concepts which are expected to replace the conventional energy and transportation systems with more efficient and flexible ones. There have been research on the integration of these technologies, but a microgrid with fuel cell vehicles (FCVs) have hardly been studied at the moment in spite of the several technical advantages of FCVs as generating units. This paper therefore presents the mathematical model of a microgrid which includes FCVs, on-site hydrogen stations, solar photovoltaic systems and a wind turbine. The optimal scheduling of hydrogen production, hydrogen refueling to FCVs and electricity supply from FCVs which minimizes the power imported from the main grid is obtained by solving a mixed integer linear programming problem. The computation results of a test case indicate that the model can be used for identifying a bottleneck in the energy flow of a microgrid. The presented model can be extended by including important factors to consider for further research on the integration of microgrids and FCVs.
UR - http://www.scopus.com/inward/record.url?scp=84978160580&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978160580&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2016.7479027
DO - 10.1109/ICNSC.2016.7479027
M3 - Conference contribution
AN - SCOPUS:84978160580
T3 - ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
BT - ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
Y2 - 28 April 2016 through 30 April 2016
ER -
