Cross-Provincial Coordinated Planning and Market Mechanisms
Session Chair(s) and Speakers:
Xiaomeng Ai
Prof. Xiaomeng Ai is a Professor and Ph.D. supervisor at Huazhong University of Science and Technology, China. His research focuses on power and energy balance analysis under uncertain environments. In recent years, he has led multiple research projects, including one General Program and one Young Scientists Fund project of the National Natural Science Foundation of China, one National Key R&D Program project, one subtask of the National Key R&D Program. He has published over 100 SCI/EI-indexed papers, filed more than 50 invention patents, with five papers selected as ESI Highly Cited Papers and two selected as F5000 papers. He has received two Second Prizes of the National Science and Technology Progress Award, one First Prize of the Hubei Provincial Science and Technology Progress Award, and two First Prizes from professional societies.
Zhenfei Tan
Zhenfei Tan received the B.E. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2017 and 2022, respectively. He is currently an Associate Professor with Shanghai Jiao Tong University, Shanghai, China. His research lies in the electricity market, distributed energy resource aggregation, and coordinated operation of hierarchical power networks. He has published more than 50 SCI/EI-indexed academic papers and has been authorized 20 patents. He was funded by 2 projects of the National Natural Science Foundation of China. He won the Best-of-the-Best paper award of IEEE PES General Meeting, the CSEE JPES Outstanding Paper Award, the Gold Award of the Geneva International Invention Exhibition. He serves as a Young Editorial Board Member for Energy Conversion and Economics and Electric Power Construction. Furthermore, he has been recognized as an Outstanding Reviewer for several journals including IEEE Transactions on Power Systems, MPCE, CSEE JPES, and Proceedings of the CSEE.
Xiang Wei
Xiang Wei received the Ph.D. degree in Electrical and Electronic Engineering from The Hong Kong Polytechnic University, Hong Kong SAR, China, in 2025. In 2024, he was a visiting Ph.D. student with the School of Engineering, Cardiff University, Cardiff, U.K. He is currently a Lecturer with the School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan, China. His research interests include resilient operation of transmission–distribution system optimization, security-constrained optimal power flow, renewable energy and virtual power plant integration.
Session Abstract
With the rapid development of large-scale renewable energy bases and the growing demand for long-distance power delivery, cross-provincial power systems face increasing challenges, including unclear temporal coupling characteristics between generation and load, increasing dimensions of optimization decision-making, and complex game relationships among multiple stakeholders. Against this backdrop, a coordinated framework is therefore needed for generation, grid, load, and storage planning, together with market-based dispatch mechanisms, to support efficient cross-provincial resource allocation, renewable consumption, and fair benefit sharing.
This special session, "Cross-Provincial Coordinated Planning and Market Mechanisms," invites research contributions in source-grid-load-storage coordinated planning, electricity markets, and intelligent decision-making. It aims to discuss key theories, methods, and engineering practices for cross-provincial power and energy balance, coordinated planning, and market mechanism design. Topics of interest include, but are not limited to, spatiotemporal correlation analysis of renewable generation and load, renewable and load profile simulation and forecasting, chronological production simulation for power and energy balance, coordinated planning and optimization of source-grid-load-storage, cost-benefit assessment of multiple agents, electricity market design and trading mechanisms, and application technologies for planning platforms, including data fusion, digital twins, and intelligent decision-making in power systems.