Impact of communication system characteristics on electric vehicle grid integration: a large-scale practical assessment of the UK's cellular network for the Internet of Energy.

Zeinali, Mehdi; Erdogan, Nuh; Bayram, Islam Safak; Thompson, John S.

Abstract

The ever-increasing number of plug-in electric vehicles (PEVs) requires appropriate electric vehicle grid integration (EVGI) for charging coordination to maintain grid stability and enhance PEV user convenience. As such, the widespread adoption of electric mobility can be successful. EVGI is facilitated through charging stations and empowers PEV users to manage their charging demand by using smart charging solutions. This makes PEV grids assets that provide flexibility to the power grid. The Internet of Things (IoT) feature can make smooth EVGI possible through a supporting communication infrastructure. In this regard, the selection of an appropriate communication protocol is essential for the successful implementation of EVGI. This study assesses the efficacy of the UK's 4G network with TCP and 4G UDP protocols for potential EVGI operations. For this, an EVGI emulation test bed is developed, featuring three charging parking lots with the capacity to accommodate up to 64 PEVs. The network's performance is assessed in terms of data packet loss (e.g., the data-exchange capability between EVGI entities) and latency metrics. The findings reveal that while 4G TCP often outperforms 4G UDP, both achieve latencies of less than 1 s with confidence intervals of 90% or greater for single PEV cases. However, it is observed that the high penetration of PEVs introduces a pronounced latency due to queuing delays in the network including routers and the base station servers, highlighting the challenges associated with maintaining efficient EVGI coordination, which in turn affects the efficient use of grid assets.

Citation

ZEINALI, M., ERDOGAN, N., BAYRAM, I.S. and THOMPSON, J.S. 2023. Impact of communication system characteristics on electric vehicle grid integration: a large-scale practical assessment of the UK's cellular network for the Internet of Energy. Electricity [online], 4(4), pages 309-319. Available from: https://doi.org/10.3390/electricity4040018

• Journal Article Type: Article
• Acceptance Date: Oct 31, 2023
• Online Publication Date: Nov 3, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Feb 1, 2024
• Publicly Available Date: Feb 1, 2024
• Journal: Electricity
• Print ISSN: 2673-4826
• Electronic ISSN: 2673-4826
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 4
• Issue: 4
• Pages: 309-319
• DOI: https://doi.org/10.3390/electricity4040018
• Keywords: Electric vehicles; Energy grid; Cellular networks
• Public URL: https://rgu-repository.worktribe.com/output/2139420