Resilience-oriented power system planning amidst extreme events via vehicle-to-grid coordination

In recent years, the increasing frequency and severity of extreme weather events (EWEs) have posed a growing threat to power system resilience. The existing literature has examined the impact of extreme events on power system planning. However, few studies have systematically explored the role of large-scale electric vehicle (EV) fleets toward grid resilience enhancement in EWEs. Therefore, we propose a resilience-oriented power system planning method considering vehicle-to-grid (V2G) coordination, especially amidst blizzard events. A blizzard-induced grid failure model is established for long-term N-K contingency scenario generation, followed by a two-stage generation expansion and line hardening optimization considering both normal and contingency conditions. Three charging modes of EV fleets, i.e., plug and play (PnP), orderly charging (V1G) and V2G, are compared. Case studies on a modified IEEE 39-bus system, using 2024 data from the Jibei region of northern China and two extreme blizzard scenarios, demonstrate that combining resilience-oriented planning with V2G coordination significantly reduces total system costs by 58.02% compared to the baseline, achieving the lowest total cost of $2.48×103 million. Furthermore, the integrated approach reduces load shedding cost by 87.74% and 77.95% compared to considering only EV coordination or only resilience planning, respectively. These findings highlight the value and novelty of integrating EV flexibility into long-term resilience-oriented power system planning.

Authors

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-10-08
DOI
https://doi.org/10.1016/j.ijepes.2025.111202
Citations
3
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.19
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article

Resilience-oriented power system planning amidst extreme events via vehicle-to-grid coordination

Kuo Wang, Yiyang Song, Zhongkui Li, Jié Song et al.
3 citations
International Journal of Electrical Power & Energy Systems
Electric Vehicles and Infrastructure
2.19
article

Resilience-oriented power system planning amidst extreme events via vehicle-to-grid coordination

Kuo Wang, Yiyang Song, Zhongkui Li, Jié Song, Jianxiao Wang, Gang Lü, Shengyu Wu
article en
3 citations

Abstract

In recent years, the increasing frequency and severity of extreme weather events (EWEs) have posed a growing threat to power system resilience. The existing literature has examined the impact of extreme events on power system planning. However, few studies have systematically explored the role of large-scale electric vehicle (EV) fleets toward grid resilience enhancement in EWEs. Therefore, we propose a resilience-oriented power system planning method considering vehicle-to-grid (V2G) coordination, especially amidst blizzard events. A blizzard-induced grid failure model is established for long-term N-K contingency scenario generation, followed by a two-stage generation expansion and line hardening optimization considering both normal and contingency conditions. Three charging modes of EV fleets, i.e., plug and play (PnP), orderly charging (V1G) and V2G, are compared. Case studies on a modified IEEE 39-bus system, using 2024 data from the Jibei region of northern China and two extreme blizzard scenarios, demonstrate that combining resilience-oriented planning with V2G coordination significantly reduces total system costs by 58.02% compared to the baseline, achieving the lowest total cost of $2.48×103 million. Furthermore, the integrated approach reduces load shedding cost by 87.74% and 77.95% compared to considering only EV coordination or only resilience planning, respectively. These findings highlight the value and novelty of integrating EV flexibility into long-term resilience-oriented power system planning.

International Journal of Electrical Power & Energy SystemsVol. 172
Openalex Percentile: Top 11%
Electric Vehicles and Infrastructure
2.19
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