Risk Assessment and Resilience Enhancement of New-Type Power Systems under Climate Change

Climate change has emerged as a critical threat to the secure operation of new-type power systems. Recent incidents, such as the 2022 Sichuan extreme heatwave and drought and the 2021 Texas winter storm, demonstrate that extreme weather events systematically disrupt power supply-demand balance, infrastructure reliability, and renewable energy generation. The new-type power system now faces dual challenges: energy structure transformation driven by "dual-carbon" goals and escalating climate risks. On one hand, the high penetration of renewable energy exacerbates climate sensitivity issues like "extreme heat with low wind" and "extreme cold with low solar irradiance." On the other hand, distribution networks, plagued by aging equipment and urban-rural grid disparities, have become vulnerable under extreme weather. Traditional risk assessment methods struggle to quantify dynamic climate-power system coupling effects, while resilience enhancement requires integrating meteorological forecasting, AI algorithms, and multi-energy collaboration strategies.

This session focuses on "Climate-Power-AI" interdisciplinary integration, aiming to establish a full-chain technical framework covering risk identification, quantitative assessment, and resilience enhancement. Topics include extreme weather modeling, uncertainty analysis of renewable generation, disaster prevention optimization for new-type power systems, and demand-side resource coordination, fostering a paradigm shift from passive defense to active adaptation.

The topics of interest include, but are not limited to:
• Climate Risk Modeling and Prediction
• Vulnerability Quantification and Assessment for New-Type Power Systems
• Key Technologies for Resilience Enhancement
• Demand-Side Coordination and Market Mechanisms
• Policy Innovations and Case Studies

Organizer
Gengfeng Li, Xi’an Jiaotong University, China