Special Session II: Emergency Response Plan Simulation and Resilience-Enhancement Optimal Decision-Making for Power Systems under Extreme Events

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

Information: 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.
Topics:
  1. Extreme-event scenario generation, modeling, and risk assessment
  2. Failure-evolution and fault-chain simulation; intelligent emergency plan generation
  3. Optimal decision-making for resilience enhancement and multi-stage coordinated restoration
  4. Power system resilience under cyber-physical-social integration
  5. Data-driven and AI-enabled emergency decision-making
Submission Deadline: September 18, 2026