The rapid emergence of electric vehicles (EVs) demands an advancedinfrastructure of publicly accessible charging stations that provide efficientcharging services. In this paper, we propose a new charging station operationmechanism, the JoAP, which jointly optimizes the EV admission control, pricing,and charging scheduling to maximize the charging station's profit. Morespecifically, by introducing a tandem queueing network model, we analyticallycharacterize the average charging station profit as a function of the admissioncontrol and pricing policies. Based on the analysis, we characterize theoptimal JoAP algorithm. Through extensive simulations, we demonstrate that theproposed JoAP algorithm on average can achieve 330% and 531% higher profit thana widely adopted benchmark method under two representative waiting-time penaltyrates.
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