Reference:
F. Alavi,
N. van de Wouw, and
B. De Schutter,
"Power scheduling of fuel cell cars in an islanded mode microgrid with
private driving patterns," IEEE Transactions on Control Systems
Technology, vol. 28, no. 4, pp. 1393-1403, July 2020.
Abstract:
A microgrid in the islanded mode is considered where a fleet of fuel
cell cars is used as a distributed power generation system. The
objective of the proposed control system is to minimize the
operational cost of the system, subject to the physical and
operational constraints of the system. In order to deal with
uncertainty in the prediction of the microgrid's load, two model
predictive control methods, a min-max approach and disturbance
feedback min-max approach, are proposed. We develop three distributed
control algorithms and we show that by using these algorithms, the
driving patterns of the fuel cell cars can be kept private. In other
words, no privacy sensitive data on the usage of the cars is collected
by a central control agent. Numerical case studies are presented to
demonstrate the excellent performance of the proposed control methods.