Zone substations' readiness to embrace electric vehicle adoption: Brisbane case study

This study proposes a methodology to quantify the impact of electric vehicle (EV) adoption on distribution zone substations, focusing on varying adoption levels and charging patterns. Using real-world data from South East Queensland, substation capacity is evaluated under emergency cyclic capacity (ECC) limits, considering one equipment down (n-1) conditions and scenarios with all equipment operational. Typical daily EV charging patterns and rare high-demand events, such as simultaneous EV charging, are analysed to identify potential overload risks. Results show that 78–93% of substations can accommodate 100% EV fleet penetration under normal conditions, while the remainder require further evaluation to assess compliance with technical standards. This methodology provides a comprehensive framework for understanding substation resilience, emphasising the need to consider both typical and exceptional EV charging behaviours. The findings highlight critical areas for detailed analysis to ensure network reliability under increasing EV adoption and evolving charging demands. • Assess electricity grid capacity using EV charging patterns under N-1 scenarios • Evaluate concurrent EV charging impact against the grid's Normal Cyclic Capacity • Over 78% of substations meet compliance capacity for a 100% EV fleet • Overload risk rises with higher concurrent charging of EV • EV charging assessments should incorporate high-resolution substation load data

Authors

Institutions

Publication Details

Journal
Energy
Published
2025-03-12
DOI
https://doi.org/10.1016/j.energy.2025.135519
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Zone substations' readiness to embrace electric vehicle adoption: Brisbane case study

Jake Whitehead, Mark Hickman, Abel Quintero Fuentes
Energy
Electric Vehicles and Infrastructure
article

Zone substations' readiness to embrace electric vehicle adoption: Brisbane case study

Jake Whitehead, Mark Hickman, Abel Quintero Fuentes
article en

Abstract

This study proposes a methodology to quantify the impact of electric vehicle (EV) adoption on distribution zone substations, focusing on varying adoption levels and charging patterns. Using real-world data from South East Queensland, substation capacity is evaluated under emergency cyclic capacity (ECC) limits, considering one equipment down (n-1) conditions and scenarios with all equipment operational. Typical daily EV charging patterns and rare high-demand events, such as simultaneous EV charging, are analysed to identify potential overload risks. Results show that 78–93% of substations can accommodate 100% EV fleet penetration under normal conditions, while the remainder require further evaluation to assess compliance with technical standards. This methodology provides a comprehensive framework for understanding substation resilience, emphasising the need to consider both typical and exceptional EV charging behaviours. The findings highlight critical areas for detailed analysis to ensure network reliability under increasing EV adoption and evolving charging demands. • Assess electricity grid capacity using EV charging patterns under N-1 scenarios • Evaluate concurrent EV charging impact against the grid's Normal Cyclic Capacity • Over 78% of substations meet compliance capacity for a 100% EV fleet • Overload risk rises with higher concurrent charging of EV • EV charging assessments should incorporate high-resolution substation load data

EnergyVol. 322
The University of Sydney (AU), The University of Queensland (AU)
Openalex Percentile: Top 97%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.