Different scenarios of electric vehicle contribution to power system voltage instability
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Authors
Bahadornejad, Momen
Zarreh, Hooman
Zarreh, Hooman
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2025-12
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Conference Contribution - Oral Presentation
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Keyword
electric power systems
electric power system analysis
smart grids (electric power distribution)
electric vehicles
electric power system analysis
smart grids (electric power distribution)
electric vehicles
ANZSRC Field of Research Code (2020)
Citation
Bahadornejad, M., & Zarreh, H. (2025, December, 1-5) Different scenarios of electric vehicle contribution to power system voltage instability [Paper presentation]. ITP Rangahau & Research Symposium 2025 + OPSITARA 2025, New Zealand
https://hdl.handle.net/10652/7131
Abstract
Electric vehicles (EV) are a relatively large load with completely different load characteristics from other conventional power system loads. Many studies have already been carried out on issues like increased peak demand, voltage reduction, harmonics, and over-loading the distribution systems. However, scant attention has been paid to the impact of EV on the power system voltage stability.
Load power restoration following a sudden change in the system voltage is one of the most important factors contributing to a possible voltage instability. Induction motors, load behind on-load tap changer (OLTC), and the thermostatic loads are the three well-known short-term (seconds), medium-term (minutes), and long-term (tens of minutes) load power restoration mechanisms, respectively.
This paper aims to show how the local load bus measured voltage, and current can be used to predict on-line a voltage collapse caused by the EV in conjunction with other types of load power restoration dynamics. A combination of conventional loads and the EV load with a new voltage-power relationship are considered and different scenarios are clearly presented. The proposed method is confirmed using MATLAB simulations. The findings of this study may help to anticipate and avoid a possible power system blackout by assessing online the power distance from the stability limit.
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