Journal
IEEE TRANSACTIONS ON SMART GRID
Volume 11, Issue 2, Pages 1489-1499Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2019.2938960
Keywords
Charging stations; Routing; Pricing; Electric vehicles; Batteries; Capacity planning; Resource management; Electric vehicles; fast charging stations; vehicle routing; pricing; differentiated services
Categories
Funding
- National Science Foundation under CAREER Grant [1847096]
- NSF [1847096]
- Directorate For Engineering
- Div Of Electrical, Commun & Cyber Sys [1847096] Funding Source: National Science Foundation
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We consider a Charging Network Operator (CNO) that owns a network of Electric Vehicle (EV) public charging stations and wishes to offer a menu of differentiated service options for access to its stations. This involves designing optimal pricing and routing schemes for the setting where users cannot directly choose which station they use. Instead, they choose their priority level and energy request amount from the differentiated service menu, and then the CNO directly assigns them to a station on their path. This allows higher priority users to experience lower wait times at stations, and allows the CNO to directly manage demand, exerting a higher level of control that can be used to manage the effect of EV on the grid and control station wait times. We consider the scenarios where the CNO is a social welfare-maximizing or a profit-maximizing entity, and in both cases, design pricing-routing policies that ensure users reveal their true parameters to the CNO.
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