Year: 2025
Type: article
Abstract: The maximum demand payment component (MDPC) of the electricity bill, which reflects the highest level of power demand during a billing period, is a well-recognized barrier to the feasibility of electric vehicle fast-charging facilities (EVFCFs). While several studies have explored control strategies to mitigate demand peaks, they primarily focus on slow-charging facilities and fail to account for maximum demand prices. On the other hand, the few existing EVFCF-particular strategies overlook the diminished user-desired quality of service caused by the additional charging time needed for demand management. Moreover, their implementations under real-world conditions also remains unexplored. To address these issues, this work proposes a managed charging solution that explicitly considers the impact of maximum demand prices while maintaining user-desired quality of service, and implements it under real-world conditions. Simulation results indicate that the proposed solution can increase an EVFCF's operational profits by 5-28% compared to conventional charging methods. The findings highlight that while the proposed solution is not sensitive to how EV users select the various alternative fuel grades, the outcomes are significantly influenced by EVFCF utilization rate, the time between consecutive EV arrivals, and the incumbent electric utility specified maximum demand prices. These findings could pave the way for a more informed deployment of managed charging solutions at EVFCFs, thereby accelerating equitable transition to transportation electrification.
Source: Electricity
Authors: Muhammad Talal Khalid, Marisol Velapatino, Arin Rzonca, Ann-Perry Witmer
Institution: University of Illinois Urbana-Champaign
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,207
OpenAlex ID: W4415820343