Special Session 8


Digital-Intelligence Empowered Operation and Maintenance Technologies for Power Transmission and Distribution Equipment

专题八：输变电装备数智化及智能运检技术


Organizer：
Zhou Nan, Shanghai Jiao Tong University, China

Submit your paper via http://www.easychair.org/conferences/?conf=apet2025, and choose Special Session 8 option.

As global power systems rapidly integrate renewable energy as a primary source, the grid is experiencing fundamental shifts in its operational landscape. The intermittency, volatility, and uncertainty of renewable generation, together with the increasing reliance on power electronics and advanced control devices, introduce new challenges for asset management and maintenance strategies. Traditional maintenance practices are no longer sufficient; instead, utilities require risk-informed and reliability-centered frameworks that ensure both resilience and cost-effectiveness.
The “dual challenge” of renewable penetration and aging infrastructure has significantly altered equipment performance profiles and failure risks. It is now critical to develop quantitative risk assessment models, optimize maintenance scheduling under uncertainty, and establish adaptive strategies that balance reliability, economics, and sustainability. Moreover, digital technologies—such as data analytics, stochastic optimization, and reinforcement learning—play a pivotal role in enabling predictive, intelligent, and resource-constrained decision-making in asset management.

This special session aims to bring together state-of-the-art research and practical advancements in risk-based assessment and reliability-centered optimization for asset management and maintenance planning. By bridging theoretical development with real-world applications, this topical collection will provide guidance for ensuring the safety, reliability, and long-term sustainability of renewable-penetrated power systems.

Nan Zhou (Member, IEEE) received the B.E. and Ph.D. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2016 and 2021 respectively. He was a Postdoctoral Research Fellow with SP Group-NTU Joint Laboratory, Nanyang Technological University, Singapore, during 2021–2025. He is currently an Associate Professor with the Department of Electrical Engineering, Shanghai Jiao Tong University. His research interests include condition monitoring, health assessment and asset management of electrical apparatus. Dr. Zhou was nominated for the best Ph.D. Thesis Award of Shanghai Jiao Tong University in 2022. He was also selected as a Mistletoe Research Fellow by the Momental Foundation in 2022–2023. He is the winner of Energies Travel Award in 2025 and the Award of CoE Dean’s Learner Fund in 2024.