Multiaggregator Collaborative Electric Vehicle Charge Scheduling under Variable Energy Purchase and EV Cancelation Events

Vishu Gupta, Srikanth Reddy Konda, Rajesh Kumar, Bijaya Ketan Panigrahi

Research output: Contribution to journalArticlepeer-review

56 Citations (Scopus)

Abstract

With the growth of electric vehicles across the globe, it is essential to have a corresponding charging infrastructure developed. Several research works highlight the benefits of aggregator-based scheduling, where all aggregators operate in similar conditions with the same amount of purchased energy. However, there are unscheduled EVs left due to unavailability of sufficient energy and/or charging slots. This paper presents a multiaggregator-based charge scheduling scheme that incorporates collaborative charging and realistic situations with variable energy purchase (VEP) and cancelation charges. VEP reflects a practical situation where the aggregator purchases energy based on average scheduling requests per day. Similarly, customers are penalized for not arriving at the scheduled slot. The charge scheduling problem is addressed from the aggregator point of view, wherein the total profit and the number of scheduled EVs are maximized. With VEP, a greater number of EVs were scheduled through collaboration and overall profits were observed to be higher than with equal energy purchased. The implementation of cancelation charges on the customer further resulted in an increase in the profits.

Original languageEnglish
Pages (from-to)2894-2902
Number of pages9
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number7
DOIs
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

  • Cancelation events
  • collaborative electric vehicle (EV) charge scheduling
  • electric vehicle
  • multiaggregator

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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