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| Content Provider | IET Digital Library |
|---|---|
| Author | Gjelaj, Marjan Hashemi, Seyedmostafa Andersen, Peter Bach Traeholt, Chresten |
| Abstract | 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 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 life-cycle costs as well as the financial performance of BES costs versus grid-reinforcement costs. |
| Starting Page | 1 |
| Ending Page | 12 |
| Page Count | 12 |
| ISSN | 20429738 |
| Volume Number | 10 |
| e-ISSN | 20429746 |
| Issue Number | Issue 1, Mar (2020) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-est/10/1 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-est.2018.5080 |
| Journal | IET Electrical Systems in Transportation |
| Publisher Date | 2019-05-24 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Battery Capacities Battery Energy Storage Charging Demand Battery Powered Vehicle Battery Storage Plants BES Life-cycle Cost Carbon Dioxide Emission Reduction Charging-infrastructure Cost CO2 Coordinated Charging Demand DCFCS Operational Cost Economic Analysis Electric Vehicle Electric Vehicle Charging EV Demand EV Fast-charging Stations EV Load Demand EV Model Metropolitan Areas Optimal Infrastructure Planning Other Power Stations And Plant Peak Demand Peak Load Power Generation Economics Power Generation Planning Power System Economics Power System Managemen Power System Operation Power System Planning And Layout Probabilistic Driving Pattern Public Direct-current Fast-charging Stations Secondary Cell Statistics Stochastic Linearised SCUC Stochastic Planning Method Sustainable Transportation Transportation User Behaviour Prediction |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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