Making Tough Choices: Picking Robust Electric Vehicle Schedules among Optimal Solutions
Year: 2025
Type: conference-paper
Abstract: With an increase of electric vehicle (EV) charging demand, energy management systems in for example large parking lots increasingly apply optimization to coordinate the charging schedules of EVs. However, many of the used underlying objective functions do not result in a unique schedule, but rather in an entire space of optimal solutions.This work proposes LYNCS, a method to choose among those schedules in a way that increases service quality and robustifies schedules against EVs departing earlier than expected. Numerical evaluation shows a significant improvement compared to a naive choice of schedule, and increased fairness of the resulting schedules.
Institution: University of Twente
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W4414940395
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