Measuring Flexibility through Reduction Potential

Research output: NLRPresentation

Abstract

As electrical loads, electric vehicles (EVs) are distinguished in many cases by their substantial flexibility. Harnessing this flexibility, however, requires a precise characterization of its timing and degree. Current approaches to flexibility characterization tend to be limited either by the complexity of their representation or their inability to capture aggregate flexibility across multiple vehicles. In this paper, we present the reduction potential matrix, a novel metric capturing fleet-level EV load flexibility while being both straightforward to calculate and intuitive to interpret. We use the metric to quantify flexibility for two operationally distinct commercial groups: freight vehicles and transit buses. While we find that both vehicle groups have substantial flexibility, its timing, magnitude, and duration varies across the groups. We describe how this variability translates into variation in the each group's role as a grid resource, and conclude with a discussion of how system planners, fleet operators, and other stakeholders can use the novel metric to cultivate symbiosis between vehicles and the grid.
Original languageAmerican English
Number of pages6
DOIs
StatePublished - 2025

Publication series

NamePresented at the 2025 IEEE Power and Energy Society General Meeting, 27-31 July 2025, Austin, Texas

NLR Publication Number

  • NLR/PR-5400-96034

Keywords

  • electric vehicles
  • optimization
  • smart grid

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