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Creating virtual energy storage systems from aggregated smart charging electric vehicles

Lookup NU author(s): Andrew Jenkins, Professor Haris Patsios, Professor Phil Taylor, Dr Neal WadeORCiD, Professor Phil BlytheORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Abstract

Electric vehicles (EVs) have been proposed previously to be a form of flexible electrical load (including potentially vehicle to grid generation) that could be controlled to help support distribution networks. Considering each vehicle individually poses many challenges including significant smart grid control system computational effort and uncertainty. This study proposes an aggregation and control methodology for the grid to consider a number of EVs in a similar way to more established energy storage systems (ESS) allowing existing ESS control algorithms to be utilised. Central to the methodology is the knowledge that flexibility will only be realised if drivers are willing to use utility controlled charging posts and as such the drivers' requirements are prioritised; a minimum amount of energy is guaranteed to be within each vehicle at the time of departure.

Publication metadata

Author(s): Jenkins MJ, Patsios C, Taylor P, Olabisi O, Wade N, Blythe PT

Publication type: Article

Publication status: Published

Journal: CIRED, Open Access Proceedings Journal

Year: 2017

Volume: 2017

Issue: 1

Pages: 1664-1668

Print publication date: 01/10/2017

Online publication date: 01/10/2017

Acceptance date: 19/01/2017

Date deposited: 03/01/2018

ISSN (electronic): 2515-0855

Publisher: IET

URL: https://doi.org/10.1049/oap-cired.2017.0937

DOI: 10.1049/oap-cired.2017.0937

Notes: Published first at CIRED Conference June 2017 and then invited to redraft for CIRED open access Journal

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