Optimal Day Ahead Scheduling for Plug-in Electric Vehicles in an Industrial Microgrid Based on V2G System

Sid Ali Amamra, Kai Shi, Truong Quang Dinh, James Marco

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)


With the increasing amount of electric vehicles (EVs), Vehicle to Grid (V2G) technology has attracted enormous attention from researchers and industries. The major benefit of using V2G is to enable the interaction between EVs and grid. For example, EV batteries can work as responsive sources to provide auxiliary support to a power grid. This paper presents an optimal day-ahead scheduling strategy for a fleet of EVs plugged-in to the grid using V2G operation. Here, lithium-ion EV batteries are managed to reduce peak load constrains in a microgrid and to reduce energy bill. The proposed scheduling scheme is computed based on a linearized model of the lithium-ion battery with an optimization approach considering battery and grid constraints. A case study with an industrial microgrid application is carried out by simulations, to prove the advantages of the proposed technique.

Original languageEnglish
Title of host publication2019 23rd International Conference on Mechatronics Technology, ICMT
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9781728139982
ISBN (Print)9781728139999
Publication statusPublished - 16 Dec 2019
Externally publishedYes
Event23rd International Conference on Mechatronics Technology - Salerno, Italy
Duration: 23 Oct 201926 Oct 2019
Conference number: 23


Conference23rd International Conference on Mechatronics Technology
Abbreviated titleICMT 2019
Internet address


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