@inproceedings{b5dd2018653240f5bf25214894db1dd8,
title = "EV Benefit Evaluation in a Collaborative Scheduling Environment with Penalties for Unscheduled EVs",
abstract = "Electric Vehicle (EV) charging scheduling is a necessary aspect of everyday use of EVs. It may be addressed with respect to the grid, the service provider (aggregator) and the EV owner (customer). This paper presents a profit maximization collaborative multi-aggregator scheduling scheme which evaluates the customer benefits in two ways. The first is to propose an indicator that evaluates the impact of multi-aggregator collaboration on the EV charging cost. The second is to include a fine levied on the service provider as a consequence of EVs remaining unscheduled. A distributed approach is considered while performing a multi-aggregator collaborative scheduling. The results indicate that collaborative scheduling results in greater aggregator profits along with lowered EV charging costs. It was further observed that multi-aggregator collaboration results in fewer penalties due to unscheduled EVs, resulting in an increase in the total number of scheduled EVs and the aggregator profits.",
keywords = "Charging Cost, Charging scheduling, Collaborative Scheduling, Electric Vehicle, Unscheduled Penalty",
author = "Vishu Gupta and Rajesh Kumar and {Srikanth Reddy}, K. and Panigrahi, {B. K.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 8th IEEE India International Conference on Power Electronics, IICPE 2018 ; Conference date: 13-12-2018 Through 15-12-2018",
year = "2018",
month = jul,
day = "2",
doi = "10.1109/IICPE.2018.8709582",
language = "English",
series = "India International Conference on Power Electronics, IICPE",
publisher = "IEEE Computer Society",
booktitle = "8th IEEE India International Conference on Power Electronics, IICPE 2018",
address = "United States",
}
