Assessing the Frequency Response Potential of Heavy-Duty Electric Vehicles with Vehicle-to-Grid Integration in the California Power System
Xiaojie Tao, Yaoyu Fan, Zhaoyi Ye, Rajit Gadh

TL;DR
This paper evaluates how heavy-duty electric vehicle fleets with Vehicle-to-Grid capabilities can support frequency stability in California's power system, considering different charging strategies and renewable energy scenarios.
Contribution
It develops a simulation framework to assess the frequency response potential of heavy-duty EVs with V2G in California, highlighting the impact of charging strategies and control parameters.
Findings
V2G-enabled EVs provide strong, fast primary frequency response.
Both V2G and non-V2G modes can contribute to grid stability.
Response effectiveness depends on charging strategy and renewable output.
Abstract
The integration of heavy-duty electric vehicles (EVs) with Vehicle-to-Grid (V2G) capability can enhance primary frequency response and improve stability in power systems with high renewable penetration. This study evaluates the technical potential of heavy-duty EV fleets to support the California power grid under three practical charging strategies: immediate charging, delayed charging, and constant-minimum-power charging. We develop a simulation framework that couples aggregated frequency dynamics with battery and charger constraints, state-of-charge management, and fleet-availability profiles. Performance is assessed using standard frequency security metrics, including nadir, rate-of-change-of-frequency, overshoot, and settling time, across credible contingency scenarios and renewable generation conditions. Results indicate that both non-V2G modes and V2G-enabled operation can…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Advanced Battery Technologies Research · Electric and Hybrid Vehicle Technologies
