Journal article · Ahead of Print article
Optimal Infrastructure Planning for EVs Fast Charging Stations based on Prediction of User Behavior
Electric vehicles (EVs) appear to offer a promising solution to support sustainable transportation and the reduction of CO2 emissions in the metropolitan areas. To satisfy the EV load demand of the new EV models with larger battery capacities, public direct-current fast-charging stations (DCFCSs) are essential to recharge EVs rapidly.
A stochastic planning method of the DCFCSs is presented considering user behaviour and the probabilistic driving patterns in order to predict EVs charging demand. According to the stochastic method, a coordinated charging demand and storage charging demand are proposed with the objective of minimising peak load from EVs and charging-infrastructure costs.
The proposed planning method can prevent additional grid reinforcement costs due to EV demand during the peak hours. In the coordinated charging demand, the peak load from EVs is managed by controlling the DCFCSs. Instead, in the battery energy storage (BES) charging demand, an optimal BES is proposed as an alternative solution to reduce the peak demand of EVs as well as DCFCSs operational costs.
Finally, an economic analysis is carried out to evaluate the technical and economic aspects related to DCFCSs, the BES lifecycle costs as well as the financial performance of BES costs versus grid reinforcement costs.
Language: | English |
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Publisher: | IET |
Year: | 2019 |
Pages: | 1-12 |
ISSN: | 20429746 and 20429738 |
Types: | Journal article and Ahead of Print article |
DOI: | 10.1049/iet-est.2018.5080 |
ORCIDs: | Gjelaj, Marjan , Toghroljerdi, Seyedmostafa Hashemi , Andersen, Peter Bach and Træholt, Chresten |
SDG 11 - Sustainable Cities and Communities SDG 9 - Industry, Innovation, and Infrastructure
BES life-cycle costs CO<sub>2</sub> DCFCS operational costs EV demand EV fast-charging stations EV load demand EV models battery capacities battery energy storage charging demand battery powered vehicles battery storage plants carbon dioxide emission reduction charging-infrastructure costs coordinated charging demand economic analysis electric vehicle charging electric vehicles metropolitan areas optimal infrastructure planning peak demand peak load power generation economics power generation planning probabilistic driving patterns public direct-current fast-charging stations secondary cells stochastic planning method stochastic processes sustainable transportation transportation user behaviour prediction