Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles

Uni- and bi-directional electric vehicle charging schedulers are key enablers in the mitigation of the negative impacts, such as peak powers, of electric vehicles and renewable energy sources on the grid. This paper presents two electric vehicle charging schedulers based on model predictive control...

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Autores principales: Gilles Van Kriekinge, Cedric De Cauwer, Nikolaos Sapountzoglou, Thierry Coosemans, Maarten Messagie
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/9589a4824230447381f83a5a80500ac2
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spelling oai:doaj.org-article:9589a4824230447381f83a5a80500ac22021-11-28T04:34:30ZPeak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles2352-484710.1016/j.egyr.2021.11.207https://doaj.org/article/9589a4824230447381f83a5a80500ac22021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2352484721013445https://doaj.org/toc/2352-4847Uni- and bi-directional electric vehicle charging schedulers are key enablers in the mitigation of the negative impacts, such as peak powers, of electric vehicles and renewable energy sources on the grid. This paper presents two electric vehicle charging schedulers based on model predictive control algorithms for four different charging strategies to minimize electricity bills and peak powers for a local energy system. The schedulers use forecast values for photovoltaic production, load demand and electric vehicle state, from an existing database, a deep recurrent neural network and an electric vehicle battery model, respectively. The charging strategies are tested in a simulator that uses real and recent charging events from a charging location in Brussels. The results show the possibility to drastically reduce peak powers and with them, electricity bills as well, near real-time. Bi-directional charging shows the best results compared to uni-directional charging. These good performances are amplified by oversized PV systems but reduced with higher minimum state-of-charge.Gilles Van KriekingeCedric De CauwerNikolaos SapountzoglouThierry CoosemansMaarten MessagieElsevierarticleElectric vehicleModel predictive controlPeak shavingSmart chargingVehicle-to-gridElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENEnergy Reports, Vol 7, Iss , Pp 8760-8771 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electric vehicle
Model predictive control
Peak shaving
Smart charging
Vehicle-to-grid
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Electric vehicle
Model predictive control
Peak shaving
Smart charging
Vehicle-to-grid
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Gilles Van Kriekinge
Cedric De Cauwer
Nikolaos Sapountzoglou
Thierry Coosemans
Maarten Messagie
Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
description Uni- and bi-directional electric vehicle charging schedulers are key enablers in the mitigation of the negative impacts, such as peak powers, of electric vehicles and renewable energy sources on the grid. This paper presents two electric vehicle charging schedulers based on model predictive control algorithms for four different charging strategies to minimize electricity bills and peak powers for a local energy system. The schedulers use forecast values for photovoltaic production, load demand and electric vehicle state, from an existing database, a deep recurrent neural network and an electric vehicle battery model, respectively. The charging strategies are tested in a simulator that uses real and recent charging events from a charging location in Brussels. The results show the possibility to drastically reduce peak powers and with them, electricity bills as well, near real-time. Bi-directional charging shows the best results compared to uni-directional charging. These good performances are amplified by oversized PV systems but reduced with higher minimum state-of-charge.
format article
author Gilles Van Kriekinge
Cedric De Cauwer
Nikolaos Sapountzoglou
Thierry Coosemans
Maarten Messagie
author_facet Gilles Van Kriekinge
Cedric De Cauwer
Nikolaos Sapountzoglou
Thierry Coosemans
Maarten Messagie
author_sort Gilles Van Kriekinge
title Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
title_short Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
title_full Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
title_fullStr Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
title_full_unstemmed Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
title_sort peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles
publisher Elsevier
publishDate 2021
url https://doaj.org/article/9589a4824230447381f83a5a80500ac2
work_keys_str_mv AT gillesvankriekinge peakshavingandcostminimizationusingmodelpredictivecontrolforuniandbidirectionalchargingofelectricvehicles
AT cedricdecauwer peakshavingandcostminimizationusingmodelpredictivecontrolforuniandbidirectionalchargingofelectricvehicles
AT nikolaossapountzoglou peakshavingandcostminimizationusingmodelpredictivecontrolforuniandbidirectionalchargingofelectricvehicles
AT thierrycoosemans peakshavingandcostminimizationusingmodelpredictivecontrolforuniandbidirectionalchargingofelectricvehicles
AT maartenmessagie peakshavingandcostminimizationusingmodelpredictivecontrolforuniandbidirectionalchargingofelectricvehicles
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