Abstract
There is an increasing interest in the use of electric vehicles (EVs) for providing fast frequency reserves due to their large installed capacity and their very fast response. Most works focus on scheduling and optimization and usually neglect their aggregated dynamic response, which is particularly important from the power system perspective when EVs offer significant shares of such services. We present a literature review on the aggregated modelling of EVs and derive analytical expressions for the representation of EV populations based on the probability distributions of their parameters. Such approximations can be used in power system studies, in order to capture the dynamics of an EV population more accurately. Finally, we compare our approach to the most widely used in the literature, i.e. the averaging method where all EVs are represented with the population’s average values, and discuss the key differences of the two approaches.
Original language | English |
---|---|
Title of host publication | Proceedings of the 7th IEEE International Conference on Innovative Smart Grid Technologies |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2017 |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe - Corso Duca degli Abruzzi, Torino, Italy Duration: 26 Sept 2017 → 29 Sept 2017 Conference number: 7 https://ieeexplore.ieee.org/xpl/conhome/8246021/proceeding |
Conference
Conference | 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe |
---|---|
Number | 7 |
Location | Corso Duca degli Abruzzi |
Country/Territory | Italy |
City | Torino |
Period | 26/09/2017 → 29/09/2017 |
Internet address |
Keywords
- Aggregated dynamic response
- Electric vehicles aggregation
- Electric vehicles dynamics