Impact of V2G-containing Virtual Power Plant on Transmission Cross-section Identification under Typhoon Disaster

Under extreme typhoon conditions, vehicle-to-grid (V2G) technology can mitigate to a certain extent the perturbation of the power system due to the change of a high percentage of renewable energy output, which affects the results of the transmission cross-section search. However, there is no in-depth discussion in the literature on the manner and extent of this effect. Based on this background, firstly, a refined typhoon simulation is achieved through coupled wind-pressure field modeling, generating time-sequential transmission line fault sets, while establishing an electric vehicle dynamic dispatch optimization model for emergency power supply. Secondly, a transmission section identification method is proposed by integrating electrical distance characteristics and real-time power flow distribution, enabling dynamic grid partitioning based on fault sets and power supply results. Finally, using a provincial 500 kV grid under Typhoon Haima demonstrates that the proposed method effectively optimizes emergency power dispatch schemes and accurately identifies critical transmission sections at three typical moments, providing technical support for enhancing power system resilience during typhoon disasters.

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Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070007
Primary Topic
Microgrid Control and Optimization
Type
article
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article

Impact of V2G-containing Virtual Power Plant on Transmission Cross-section Identification under Typhoon Disaster

Daiyu Xie, Biao Wei, Biao Chen, Dong Mo et al.
Microgrid Control and Optimization
article

Impact of V2G-containing Virtual Power Plant on Transmission Cross-section Identification under Typhoon Disaster

Daiyu Xie, Biao Wei, Biao Chen, Dong Mo, Bao Li, Mingyuan Chen
article en

Abstract

Under extreme typhoon conditions, vehicle-to-grid (V2G) technology can mitigate to a certain extent the perturbation of the power system due to the change of a high percentage of renewable energy output, which affects the results of the transmission cross-section search. However, there is no in-depth discussion in the literature on the manner and extent of this effect. Based on this background, firstly, a refined typhoon simulation is achieved through coupled wind-pressure field modeling, generating time-sequential transmission line fault sets, while establishing an electric vehicle dynamic dispatch optimization model for emergency power supply. Secondly, a transmission section identification method is proposed by integrating electrical distance characteristics and real-time power flow distribution, enabling dynamic grid partitioning based on fault sets and power supply results. Finally, using a provincial 500 kV grid under Typhoon Haima demonstrates that the proposed method effectively optimizes emergency power dispatch schemes and accurately identifies critical transmission sections at three typical moments, providing technical support for enhancing power system resilience during typhoon disasters.

China Southern Power Grid (China) (CN), Power Grid Corporation (India) (IN)
Climate action
Openalex Percentile: Top 80%
Microgrid Control and Optimization
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Impact of V2G-containing Virtual Power Plant on Transmission Cross-section Identification under Typhoon Disaster — Daiyu Xie, Biao Wei, et al. · (2025) | TGRS Research Map | TGRS