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Title: Electric vehicle charge planning using Economic Model Predictive Control
Type: Article in proceedingsArticle in proceedings
Participant(s):
Author:  Halvgaard, Rasmus (Cwisno: 27042)
Department of Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark
Email:

Author:  Poulsen, Niels Kjølstad (Cwisno: 2058)
Department of Informatics and Mathematical Modelling, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark
Email:

Author:  Madsen, Henrik (Cwisno: 1559)
Technical University of Denmark
Email:

Author:  Jørgensen, John Bagterp (Cwisno: 32457)
Technical University of Denmark
Email:

Author:  Marra, Francesco (Cwisno: 54232)
Department of Electrical Engineering, Technical University of Denmark, Elektrovej, building 325, 2800 Kgs. Lyngby, Denmark
Email:

Author:  Bondy, Daniel Esteban Morales (Cwisno: 30890)
Technical University of Denmark
Email:

Abstract: Economic Model Predictive Control (MPC) is very well suited for controlling smart energy systems since electricity price and demand forecasts are easily integrated in the controller. Electric vehicles (EVs) are expected to play a large role in the future Smart Grid. They are expected to provide grid services, both for peak reduction and for ancillary services, by absorbing short term variations in the electricity production. In this paper the Economic MPC minimizes the cost of electricity consumption for a single EV. Simulations show savings of 50–60% of the electricity costs compared to uncontrolled charging from load shifting based on driving pattern predictions. The future energy system in Denmark will most likely be based on renewable energy sources e.g. wind and solar power. These green energy sources introduce stochastic fluctuations in the electricity production. Therefore, energy should be consumed as soon as it is produced to avoid the need for energy storage as this is expensive, limited and introduces efficiency losses. The Economic MPC for EVs described in this paper may contribute to facilitating transition to a fossil free energy system.
Published: part of: 2012 IEEE International Electric Vehicle Conference (IEVC) (ISBN: 9781467315623), 2012, IEEE,
DOI:
Presented at: 2012 IEEE International Electric Vehicle Conference (IEVC), Greenville, SC
See the publication in DTU Orbit See the publication in DTU Orbit

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