Min-max control of fuel-cell-car-based smart energy systems

Min-max control of fuel-cell-car-based smart energy systems

Alavi, F. (TU Delft Team Bart De Schutter)
van de Wouw, N. (TU Delft Team Bart De Schutter)
De Schutter, B.H.K. (TU Delft Team Bart De Schutter)

Rantzer, Anders (editor)
Bagterp Jørgensen, John (editor)
Stoustrup, Jakob (editor)

2016

Recently, the idea of using fuel cell vehicles as the future way of producing electricity has emerged. A fuel cell car has all the necessary devices on board to convert the chemical energy of hydrogen into electricity. This paper considers a scenario where a parking lot for fuel cell cars acts as a virtual power plant. In order to describe the system behavior from the energy point of view, a hybrid (mixed logical dynamical) model is constructed. With this model, a control system is designed to determine the production profile for both the fuel cell and battery of each car in the parking lot subject to minimizing the operational cost. In order to deal with both the uncertainty in the demand profile and the power balance constraint, a robust min-max model predictive control algorithm is developed. The effectiveness of the proposed approach is illustrated in a numerical example.

Fuel cells
Batteries
Automobiles
Power generation
Production
Microgrids
Hydrogen

http://resolver.tudelft.nl/uuid:12697345-72c1-4059-aad9-218a8aaf894e

https://doi.org/10.1109/ECC.2016.7810456

IEEE, Piscataway, NJ, USA

978-1-5090-2591-6

Proceedings 2016 European Control Conference (ECC)

2016 European Control Conference, ECC 2016, 2016-06-29 → 2016-07-01, Aalborg, Denmark

Accepted Author Manuscript

Institutional Repository

conference paper

© 2016 F. Alavi, N. van de Wouw, B.H.K. De Schutter