Reference
F. Alavi, N. van de Wouw, and B. De Schutter, "Min-max control of
fuel-cell-car-based smart energy systems,"
Proceedings of the
2016 European Control Conference, Aalborg, Denmark, pp. 1223-1228,
June-July 2016.
Abstract
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.
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BibTeX
@inproceedings{Alavan:16-003,
author = {Alavi, Farid and van de Wouw, Nathan and De Schutter, Bart},
title = {Min-Max Control of Fuel-Cell-Car-Based Smart Energy Systems},
booktitle = {Proceedings of the 2016 European Control Conference},
address = {Aalborg, Denmark},
pages = {1223--1228},
month = jun # {--} # jul,
year = {2016}
}