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

作者：Kuo Wang, Jianxiao Wang, Yiyang Song, Jié Song, Gang Lü, Shengyu Wu, Zhongkui Li · 发表于：International Journal of Electrical Power & Energy Systems · 年份：2025 · DOI：10.1016/j.ijepes.2025.111202 · 被引用次数：4 · 研究领域：Electric Vehicles and Infrastructure、Advanced Battery Technologies Research、Smart Grid Energy Management

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 × 1 0 3 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 ...