A calculation model of charge and discharge capacity of electric vehicle cluster based on trip chain

Haifeng, Liang, Lee, Ziyang and Li, Gen ORCID: https://orcid.org/0000-0002-0649-9493 2020. A calculation model of charge and discharge capacity of electric vehicle cluster based on trip chain. IEEE Access 8 , pp. 142026-142042. 10.1109/ACCESS.2020.3014160

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Abstract

The rapid response characteristics and high-speed growth of electric vehicles (EVs) demonstrate its potential to provide auxiliary frequency regulation services for independent system operators through vehicle-to-grid (V2G). However, due to the spatiotemporal random dynamics of travel behavior, it is challenging to evaluate the ability of EV cluster to provide ancillary services under the premise of reaching the expected state of charge (SOC) level. To address this issue, a novel calculation model of charge and discharge capacity of EV cluster based on trip chain with excellent parallel computing performance is presented in this work. Following the introduction of the characteristic variables of the proposed trip chain model, the user’s continuous travel behavior in a time scale of several weeks is simulated. In particular, a bidirectional V2G scheduling strategy based on the five-zone map is designed to guide the charging and discharging behavior of EVs, where the expected SOC levels are guaranteed. The results of a 3-week travel simulation verify the effectiveness of the presented model in coordinating the V2G scheme and calculating the charge and discharge capacity of the EV cluster.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
ISSN:	2169-3536
Date of First Compliant Deposit:	4 August 2020
Date of Acceptance:	31 July 2020
Last Modified:	05 May 2023 16:57
URI:	https://orca.cardiff.ac.uk/id/eprint/133949

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