Journal article · Ahead of Print article
Multifunctional Applications of Batteries within Fast-Charging Stations based on EV Demand-Prediction of the Users’ Behaviour
This paper 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 paper 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.
| Language: | English |
|---|---|
| Publisher: | IET |
| Year: | 2019 |
| Pages: | 4869-4873 |
| Proceedings: | 7th International Conference on Renewable Power Generation |
| ISSN: | 20513305 |
| Types: | Journal article and Ahead of Print article |
| DOI: | 10.1049/joe.2018.9280 |
| ORCIDs: | Gjelaj, Marjan , Træholt, Chresten and Hashemi Toghroljerdi, Seyedmostafa |
Battery energy storage Electric vehicle Fast charging station Frequency regulation Peak shaving
BES Copenhagen DC fast-charging infrastructure EV load demand prediction Engineering (General). Civil engineering (General) FCS TA1-2040 battery energy storage battery powered vehicles battery storage plants bes copenhagen dc fast-charging infrastructure electric vehicle charging electric vehicles fast charging load ev load demand prediction fast charging stations fcs frequency regulation grid reinforcement costs multifunctional equipment peak shaving power congestion power system stochastic modelling approach stochastic processes vehicle-to-grid
