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Electric vehicle charge planning using Economic Model Predictive Control

Authors :
Rasmus Halvgaard
John Bagterp Jørgensen
Niels Kjølstad Poulsen
Henrik Madsen
Daniel Esteban Morales Bondy
Francesco Marra
Source :
2012 IEEE International Electric Vehicle Conference.
Publication Year :
2012
Publisher :
IEEE, 2012.

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.

Details

Database :
OpenAIRE
Journal :
2012 IEEE International Electric Vehicle Conference
Accession number :
edsair.doi...........09868717287242795d8b09e544a79ec7
Full Text :
https://doi.org/10.1109/ievc.2012.6183173