Min-max control of fuel-cell-car-based smart energy systems
| Autor: | Alavi, F., van de Wouw, N., De Schutter, B.H.K., Rantzer, Anders, Bagterp Jørgensen, John, Stoustrup, Jakob |
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| Přispěvatelé: | Dynamics and Control |
| Rok vydání: | 2016 |
| Předmět: |
Battery (electricity)
Engineering business.industry 020209 energy Production Control engineering 02 engineering and technology Batteries Model predictive control Chemical energy Virtual power plant Power Balance Control system 0202 electrical engineering electronic engineering information engineering Parking lot Electricity Microgrids Fuel cells business Automobiles Power generation Hydrogen |
| Zdroj: | ECC Proceedings 2016 European Control Conference (ECC) Proceedings of the European Control Conference 2016, 29 June-1 July 2016, Aalborg, Denmark, 1223-1228 STARTPAGE=1223;ENDPAGE=1228;TITLE=Proceedings of the European Control Conference 2016, 29 June-1 July 2016, Aalborg, Denmark |
| DOI: | 10.1109/ecc.2016.7810456 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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