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| Content Provider | IET Digital Library |
|---|---|
| Author | Gjelaj, Marjan Arias, Nataly Bañol Traeholt, Chresten Hashemi, Seyedmostafa |
| Abstract | This study presents a methodology to improve the operation of the power system and to deal with technical issues caused by electric vehicles (EVs) fast charging load. Fast charging stations (FCSs) are indispensable for widespread use of EVs since they can fully charge EVs in a short period of time. The integration of battery energy storage (BES) within the FCSs is considered a smart option to avoid the power congestion during the peak hours as well as the grid reinforcement costs due to FCSs. In addition, the BES can be used as multifunctional equipment, which is able to provide services such as peak shaving and frequency regulation. This study proposes a method to determine an optimal size of BES considering a stochastic modelling approach of the EVs load demand based on the users’ behaviour and their probabilistic driving patterns. Finally, a case study is carried out using a real DC fast-charging infrastructure in Copenhagen. |
| Starting Page | 4869 |
| Ending Page | 4873 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 18, Jul (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/18 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9280 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-15 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Battery Energy Storage Battery Powered Vehicle Battery Storage Plants BES Copenhagen DC Fast-charging Infrastructure Electric Vehicle Charging Electric Vehicle Fast Charging Load EV Load Demand Prediction Fast Charging Stations FCS Frequency Regulation Grid Reinforcement Cost Multifunctional Equipment Other Power Stations And Plant Peak Shaving Power Congestion Power System Secondary Cell Statistics Stochastic Linearised SCUC Stochastic Modelling Approach Transportation Vehicle-to-grid |
| Content Type | Text |
| Resource Type | Article |
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