Invited Speakers

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Takahiro Umemoto, The University of Tokyo, Japan
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Takahiro Umemoto received the B.S. and M.S. degrees in electrical engineering from Kyoto University in 2009 and 2011, respectively, and the Ph.D. degree in electrical engineering from The University of Tokyo in 2021. He joined Mitsubishi Electric Corporation in 2011, where he was engaged in research on electrical insulation and diagnostic technologies for high-voltage power apparatus, including power transformers, gas-insulated switchgear, turbine generators, and inverter-fed motors. In 2018, he was a visiting researcher at the University of Stuttgart, Germany, where he worked on the development and numerical modeling of partial discharge diagnostic techniques using the ultra-high-frequency (UHF) method for power transformers. Since 2023, he has been a Project Associate Professor in the University of Tokyo. His current research covers wide-ranging topics in high-voltage insulation and measurement science, including insulation design for electric-propulsion aircraft, development of polymer nanocomposites for next-generation power electronics, and data-driven diagnosis of partial discharge phenomena.

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Yifan Su,
Chongqing University, Chongqing,
China
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Yifan Su (Member, IEEE) received the
B.Sc. and Ph.D. degrees in electrical
engineering from Tsinghua University,
Beijing, China, in 2019 and 2024,
respectively. He is currently an
Associate Professor with the School of
Electrical Engineering at Chongqing
University, Chongqing, China. His
research interests include operation and
reliability of distributed energy
resources, dispatch and control in
renewable-dominated power systems, and
gametheory-based decision making.
Speech Title: Sharing Energy in Wider
Area: A Two-Layer Energy Sharing Scheme
for Massive Prosumers
Abstract: The popularization of
distributed energy resources transforms
end-users from consumers into prosumers.
Inspired by the sharing economy
principle, energy sharing markets for
prosumers are proposed to facilitate the
utilization of renewable energy. This
paper proposes a novel two-layer energy
sharing market for massive prosumers,
which can promote social efficiency by
wider-area sharing. In this market,
there is an upper-layer energy sharing
market (U-ESM) in the distribution
system and numerous lowerlayer energy
sharing markets (L-ESMs) in local
communities. Prosumers in the same
community share energy with each other
in the L-ESM, which can be uncleared.
The energy surplus and shortage of
L-ESMs are cleared in the U-ESM. Thanks
to the wider-area two-layer structure,
the market outcome is
near-social-optimal in large-scale
systems. However, the proposed market
forms a complex mathematical program
with equilibrium constraints (MPEC). To
solve the problem, we propose an
efficient and hierarchically distributed
bidding algorithm. The proposed
two-layer market and bidding algorithm
are verified on the IEEE 123-bus system
with 11250 prosumers, which demonstrates
the practicality and efficiency for
large-scale markets.

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Yiyao Zhou, Xihua
University, China
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Zhou Yiyao received the B.S. degree in Electrical Engineering from Chongqing University, in 2018, the M.S. degree in Electrical Engineering from Hefei University of Technology, in 2021, and the Ph.D. degree in Electrical Engineering from Chongqing University, in 2025. In 2023, he was a visiting researcher with the Politecnico di Torino, Italy. Since 2025, he has been a Lecturer with the School of Electrical Engineering and Electronic Information, Xihua University, and a Postdoctoral Researcher with Chongqing University. His research interests include DC distribution network optimization and industrial applications, flexible resource aggregation and control, voltage quality optimization in active distribution networks, and power system power flow analysis.

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Xueshan Lin, Hebei University of Technology, China
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Xueshan Lin (born in 1995.10) is a “Yuanguang” Scholar Hebeiat University of Technology and a Supervisor of Master’s Students. She received her Ph.D. degree from Southeast University. Her research focuses on the design of power market mechanisms, electricity–carbon market coupling, virtual power plants, demand response, and transmission and distribution network planning and pricing. She has published more than 10 SCI-indexed journal papers in IEEE Transactions on Power Systems, Applied Energy, Energy, and Journal of Energy Storage, among others, including a Top 1% ESI Highly Cited Paper. She has actively participated in major national and international academic conferences and serves as a reviewer for several well-known international journals. She has led multiple research projects, including technology projects on “adequacy market mechanisms for power systems with high penetrations of clean energy”, “flexible ramping mechanism evaluation and development strategies”, etc., and funding projects on “virtual power plant trading strategies and operational methodologies for zero-carbon industrial parks”, etc.

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Yao Zou, Chongqing Normal University, China
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Zou Yao is a Lecturer at the College of Electronic Information Engineering, Chongqing Normal University. He received his Ph.D. degree in Electrical Engineering from Chongqing University in 2024. His research interests include reinforcement learning and optimization methods for power systems, as well as the applications of advanced communication technologies in supporting power system energy management. He has published more than 20 SCI/EI-indexed papers as first author or co-author, holds three Chinese invention patents.
