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

Farid Alavi, Nathan van de Wouw, Bart De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

4 Citations (Scopus)
35 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings 2016 European Control Conference (ECC)
EditorsAnders Rantzer, John Bagterp Jørgensen, Jakob Stoustrup
Place of PublicationPiscataway, NJ, USA
ISBN (Print)978-1-5090-2591-6
Publication statusPublished - 2016
Event2016 European Control Conference, ECC 2016: 15th annual European Control Conference - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016


Conference2016 European Control Conference, ECC 2016
Abbreviated titleECC'16
Internet address

Bibliographical note

Accepted Author Manuscript


  • Fuel cells
  • Batteries
  • Automobiles
  • Power generation
  • Production
  • Microgrids
  • Hydrogen


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