Special Session II: Emergency Response Plan Simulation and Resilience-Enhancement Optimal Decision-Making for Power Systems under Extreme Events 极端事件下电力系统应急预案推演与韧性提升优化决策

Session Chair: Prof. Yunyun Xie, Nanjing University of Science and Technology, China	Co-Chair: Prof. Sheng Cai, Nanjing University of Science and Technology, China

Summary:

In recent years, the increasing frequency of low-probability, high-impact events—such as extreme natural disasters, severe weather, cascading failures, and malicious attacks—has posed serious challenges to the secure and stable operation of power systems. With the growing penetration of renewable energy and the high degree of power-electronic integration in the new-type power system, the randomness, vulnerability, and coupling complexity of the system have markedly increased, making fault evolution under extreme scenarios faster and harder to predict. Under such uncertain, strongly coupled, and rapidly evolving conditions, how to scientifically formulate emergency response plans, dynamically simulate the entire process of incident evolution, and achieve resilience-oriented optimal decision-making has become a critical issue urgently to be addressed in the new-type power system. This session focuses on power system emergency response and resilience enhancement throughout the entire lifecycle of extreme events. It centers on in-depth discussions of topics including extreme scenario generation and risk assessment, fault-chain and failure-evolution simulation, intelligent generation and game-theoretic deduction of emergency plans, multi-stage coordinated optimal decision-making across "pre-event prevention—in-event response—post-event restoration," and resilience optimization under coupled cyber-physical-social dimensions. Experts and scholars in related fields are warmly welcomed to share their latest advances in modeling methods, simulation platforms, data-driven decision-making, and engineering practice, jointly promoting the paradigm shift of power systems from "passive defense" toward "proactive resilience," and providing theoretical support and technical pathways for ensuring secure and reliable power supply under extreme conditions.

近年来，极端自然灾害、极端天气、连锁故障与人为破坏等小概率、高影响事件频发，对电力系统的安全稳定运行构成严峻挑战。随着新型电力系统中高比例新能源与高度电力电子化的推进，系统的随机性、脆弱性与耦合复杂性显著增强，极端场景下的故障演化更加迅速且难以预测。如何在不确定、强耦合、快速演化的条件下，科学制定应急预案、动态推演事故演化全过程，并实现韧性导向的优化决策，已成为新型电力系统亟待突破的关键问题。
本专题聚焦极端事件全过程下的电力系统应急响应与韧性提升，围绕极端场景生成与风险评估、事故链与故障演化推演、应急预案的智能生成与博弈推演、"灾前预防—灾中响应—灾后恢复"多阶段协同优化决策，以及信息—物理—社会多维耦合下的韧性优化等议题展开深入研讨。欢迎相关领域专家学者分享在建模方法、推演仿真平台、数据驱动决策与工程实践方面的最新成果，共同推动电力系统由"被动防御"向"主动韧性"的范式转变，为保障极端条件下电网安全可靠供电提供理论支撑与技术路径。

Topics:
  1. Extreme-event scenario generation, modeling, and risk assessment （极端事件场景生成、建模与风险评估）
  2. Failure-evolution and fault-chain simulation; intelligent emergency plan generation （故障演化与事故链推演、应急预案智能生成）
  3. Optimal decision-making for resilience enhancement and multi-stage coordinated restoration （韧性提升的优化决策与多阶段协同恢复）
  4. Power system resilience under cyber-physical-social integration  （信息—物理—社会融合下的电力系统韧性）
  5. Data-driven and AI-enabled emergency decision-making （数据驱动与人工智能赋能的应急决策）

Submission Deadline: September 18, 2026