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arXiv · 2208.09790

Preemptive Scheduling of EV Charging for Providing Demand Response Services

Shiping Shao·Farshad Harirchi·Devang Dave·Abhishek Gupta
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Abstract

We develop a new algorithm for scheduling the charging process of a large number of electric vehicles (EVs) over a finite horizon. We assume that EVs arrive at the charging stations with different charge levels and different flexibility windows. The arrival process is assumed to have a known distribution and that the charging process of EVs can be preemptive. We pose the scheduling problem as a dynamic program with constraints. We show that the resulting formulation leads to a monotone dynamic program with Lipschitz continuous value functions that are robust against perturbation of system parameters. We propose a simulation based fitted value iteration algorithm to determine the value function approximately, and derive the sample complexity for computing the approximately optimal solution.

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Shiping Shao, Farshad Harirchi, Devang Dave, Abhishek Gupta. 2022-08-21. Preemptive Scheduling of EV Charging for Providing Demand Response Services. https://doi.org/10.1016/j.segan.2022.100986

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