Special Session 9: Resilient and Adaptive Transmission Planning for Renewable-Dominated Power Systems
Online Submission: https://easychair.org/my/conference?conf=pels2026 .
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Abstract of Special Session
The rapid growth of converter-interfaced renewable generation is fundamentally changing the spatial, temporal, and dynamic characteristics of power-system operation. Conventional transmission expansion planning, which is commonly based on static demand forecasts, predetermined operating scenarios, and passive network responses, is increasingly unable to capture the interactions among renewable variability, generation-load spatial mismatch, converter-driven voltage dynamics, extreme weather, and corrective network actions. These interactions can create new security bottlenecks and lead to inefficient or insufficient investment decisions, particularly in renewable-dominated power systems and large-scale renewable super grids.
This special session will provide a focused forum for recent advances in security-aware, resilience-driven, and adaptive transmission planning. It will examine how dynamic security constraints, multi-timescale uncertainty, weather-dependent generation correlation, multi-energy coordination, and topology flexibility can be incorporated into planning models and decision-making tools. Particular attention will be given to the planning of renewable integration corridors with interacting converter-based resources; adaptive expansion strategies that respond to evolving generation-load spatial mismatch; resilience-oriented planning under extreme and correlated renewable conditions; and topology-aware planning that jointly optimizes new assets and corrective network reconfiguration.
The session welcomes methodological and application-oriented contributions involving stochastic and robust optimization, dynamic security assessment, decomposition and acceleration techniques, data-driven scenario generation, resilience metrics, and coordinated planning of electricity, hydrogen, storage, and other energy carriers. By connecting investment planning with operational flexibility and dynamic system behavior, the session aims to identify practical pathways for building transmission networks that are economical, secure, adaptable, and resilient throughout the transition to high shares of renewable energy.
Topics:
- Dynamic-security-constrained transmission expansion planning
- Planning of renewable integration corridors and converter-rich networks
- Adaptive transmission planning under evolving generation-load spatial mismatch
- Resilience-driven planning under extreme weather and correlated renewable generation
- Multi-energy transmission and renewable super-grid planning
- Topology-aware expansion planning and corrective network reconfiguration
- Stochastic, robust, and distributionally robust planning under uncertainty
- Co-optimization of transmission investment, storage, flexibility, and system operation
- Data-driven scenario generation, resilience metrics, and planning acceleration methods
Special Session Chairs
Peipei Yu, Shanghai University of Electric Power, China
Peipei Yu is a Lecturer at Shanghai University of Electric Power and a researcher at the Engineering Research Center of Offshore Wind Technology, Ministry of Education, China. She received her PhD from the University of Macau in 2024, following earlier training in computational mathematics at Zhejiang University and a visiting appointment at Tsinghua University. Her research focuses on safe reinforcement learning, demand-side flexibility, integrated energy systems, and renewable energy integration, with particular interests in district cooling systems, offshore wind, hydrogen energy systems, energy storage, and multi-energy coordination. She has published in leading journals including IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, Applied Energy, and Renewable and Sustainable Energy Reviews. Her work on district cooling systems for operating reserve was recognized as an ESI Highly Cited Paper. She is currently principal investigator of projects funded by the National Natural Science Foundation of China, the Science and Technology Commission of Shanghai Municipality, and industry partners. She serves as Treasurer of the IEEE PES China Chapter Council (Shanghai Chapter), a member of relevant IEEE technical committees, and a guest editor and reviewer for international journals in power and energy systems.
Liang Ji, Shanghai University of Electric Power, China
Liang Ji is an Associate Professor in the Department of Electrical Power Engineering at Shanghai University of Electric Power, China, where he also leads teaching and research activities in power-system protection. He received his PhD in Electrical Engineering from the United Kingdom in 2013 and is a Chartered Engineer (CEng). His research focuses on power-system protection and control, renewable-energy integration, digital twins for power systems, and artificial-intelligence-based operation and planning. He has published more than 40 peer-reviewed papers and has led or participated in a range of government-funded and industry-sponsored projects concerning renewable-rich distribution and transmission networks, offshore wind integration, and coordinated energy-system operation. He has maintained long-term research collaboration with UK universities, including multiple academic visits to the University of Strathclyde. He also serves the professional community through technical committees and academic review activities in power-system protection and renewable-energy applications. His current work investigates secure and flexible operation of converter-dominated grids, data-driven and knowledge-based digital-twin modelling, and advanced optimization and reinforcement-learning methods for power-system planning and control.