Efficient Online Scheduling of Electric Vehicle Charging Using a Service-Price Menu

Abstract

published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User

Bi-level optimal dispatching of distribution network considering friendly interaction with electric vehicle aggregators

“…Besides, extensive studies focused on the time-of-use (ToU) electricity price mechanismguided charging schedule (Manzolli et al, 2022;Yan et al, 2021). References (Mathioudaki et al, 2021;Ghosh and Aggarwal, 2018) designed a price-based service menu for EV charging to maximize profits. A deep reinforcement learning based approach was constructed to address optimal charging scheduling under uncertain electric prices (Wan et al, 2019).…”