Abstract
While electric vehicles (EVs) often exhibit substantial flexibility, harnessing this flexibility requires precise characterization of its timing and magnitude. This paper introduces the reduction potential matrix, a novel approach to EV load flexibility modeling which is both straightforward to calculate and intuitive to interpret. This paper demonstrates the approach by quantifying flexibility for two distinct commercial vehicle groups- freight vehicles and transit buses-using simulated charging data from Virginia. While both groups are found to have substantial flexibility, its properties vary across the groups. Naturally, this variability manifests in differences in each group's role as a grid resource. The paper concludes with a discussion on how system planners, fleet operators, and other stakeholders can use the matrix to assess and leverage EV flexibility.
| Original language | American English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| State | Published - 2025 |
| Event | IEEE Power and Energy Society General Meeting - Austin, Texas Duration: 27 Jul 2025 → 31 Jul 2025 |
Conference
| Conference | IEEE Power and Energy Society General Meeting |
|---|---|
| City | Austin, Texas |
| Period | 27/07/25 → 31/07/25 |
NLR Publication Number
- NLR/CP-5400-92017
Keywords
- electric vehicles
- optimization
- smart grids