TY - JOUR
T1 - Fuel cell cars in a microgrid for synergies between hydrogen and electricity networks
AU - Alavi, Farid
AU - Park Lee, Esther
AU - van de Wouw, Nathan
AU - De Schutter, Bart
AU - Lukszo, Zofia
PY - 2017
Y1 - 2017
N2 - Fuel cell electric vehicles convert chemical energy of hydrogen into electricity to power their motor. Since cars are used for transport only during a small part of the time, energy stored in the on-board hydrogen tanks of fuel cell vehicles can be used to provide power when cars are parked. In this paper, we present a community microgrid with photovoltaic systems, wind turbines, and fuel cell electric vehicles that are used to provide vehicle-to-grid power when renewable power generation is scarce. Excess renewable power generation is used to produce hydrogen, which is stored in a refilling station. A central control system is designed to operate the system in such a way that the operational costs are minimized. To this end, a hybrid model for the system is derived, in which both the characteristics of the fuel cell vehicles and their traveling schedules are considered. The operational costs of the system are formulated considering the presence of uncertainty in the prediction of the load and renewable energy generation. A robust min-max model predictive control scheme is developed and finally, a case study illustrates the performance of the designed system.
AB - Fuel cell electric vehicles convert chemical energy of hydrogen into electricity to power their motor. Since cars are used for transport only during a small part of the time, energy stored in the on-board hydrogen tanks of fuel cell vehicles can be used to provide power when cars are parked. In this paper, we present a community microgrid with photovoltaic systems, wind turbines, and fuel cell electric vehicles that are used to provide vehicle-to-grid power when renewable power generation is scarce. Excess renewable power generation is used to produce hydrogen, which is stored in a refilling station. A central control system is designed to operate the system in such a way that the operational costs are minimized. To this end, a hybrid model for the system is derived, in which both the characteristics of the fuel cell vehicles and their traveling schedules are considered. The operational costs of the system are formulated considering the presence of uncertainty in the prediction of the load and renewable energy generation. A robust min-max model predictive control scheme is developed and finally, a case study illustrates the performance of the designed system.
KW - Energy management systems
KW - Hybrid systems
KW - Vehicle-to-grid
UR - http://resolver.tudelft.nl/uuid:e247e33f-68c8-47f3-b414-3c5cd7d397e4
UR - http://www.scopus.com/inward/record.url?scp=85006826447&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2016.10.084
DO - 10.1016/j.apenergy.2016.10.084
M3 - Article
AN - SCOPUS:85006826447
SN - 0306-2619
VL - 192
SP - 296
EP - 304
JO - Applied Energy
JF - Applied Energy
ER -