TY - GEN

T1 - Electric vehicle charge planning using Economic Model Predictive Control

A1 - Halvgaard,Rasmus

A1 - Poulsen,Niels K.

A1 - Madsen,Henrik

A1 - Jørgensen,John Bagterp

A1 - Marra,Francesco

A1 - Bondy,Daniel Esteban Morales

AU - Halvgaard,Rasmus

AU - Poulsen,Niels K.

AU - Madsen,Henrik

AU - Jørgensen,John Bagterp

AU - Marra,Francesco

AU - Bondy,Daniel Esteban Morales

PB - IEEE

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

U2 - 10.1109/IEVC.2012.6183173

DO - 10.1109/IEVC.2012.6183173

SN - 9781467315623

BT - 2012 IEEE International Electric Vehicle Conference (IEVC)

T2 - 2012 IEEE International Electric Vehicle Conference (IEVC)

ER -