Invited Speakers

 

		Shaofeng Lu, South China University of Technology, China

Dr. Lu is currently a Professor at the Shien-Ming Wu School of Intelligent Engineering, South China University of Technology. He earned his Bachelor's degree in Engineering from Huazhong University of Science and Technology in 2007, and completed his PhD at the University of Birmingham in 2011. Dr. Lu's postdoctoral research was conducted at Nanyang Technological University in Singapore from 2012 to 2013. From 2013 to 2019, he taught and conducted research at Xi'an Jiaotong-Liverpool University before joining South China University of Technology. He has received several prestigious teaching awards, including the 2023 Excellent Undergraduate Teaching Award from South China University of Technology, the Best Learner Award from the University of Cambridge's English training course in 2022, and the CPS Excellence Certification from the University of Liverpool in 2018. Dr. Lu currently leads several government-funded research projects on green and intelligent rail transportation systems in collaborations with a number of major industry partners.

 

 

 

		Yacan Wang, Beijing Jiaotong University, China

Dr. Yacan Wang is a full professor at Beijing Jiaotong University, PRC. Her primary research stream focuses on energy economics, transportation economics, behavioral and experimental economics and  sustainable consumption policy. She has published more than 100 papers on peer-reviewed journals and international conferences and was awarded as Elsevier highly cited Chinese scholars(2020). She is currently Editors of two journals, and have been guest-editing 12 special issues. She is one of the members of academic advisory committee of Alibaba Group, and also sits on Consultative Committee on Transportation and Sustainable Infrastructure of CAST-United Nations. She is executive chairs of Editor conference on Top Transportation Journals and International Conference on Transport and Space-time Economics (TSTE).

 

 

 

		Hirohito Yamada, Tohoku University, Japan

Hirohito Yamada received his B.E. degree in electronics engineering from Kanazawa University, Japan in 1981, and his M.E. and Ph.D. degrees in electronics engineering from Tohoku University, Japan in 1983 and 1987, respectively. In 1987, he joined NEC Corporation, where he conducted research on semiconductor lasers and Si nano-photonic devices for optical fiber communication systems. In 2006, he became a professor at Tohoku University, where he has been dedicated to teaching communication engineering and researching photonic integrated devices. Following the Great East Japan Earthquake in 2011, he expanded his research to include solar power generation and DC microgrids. He even built an off-grid house and has lived without purchasing electricity from the utility company for over eight years. Although he retired from Tohoku University in March 2024, he still continue his research on autonomous decentralized cooperative controlled microgrids at the International Research Institute of Disaster Science (IRIDeS), Tohoku University, from April onwards.

speech title "DC Microgrid with Battery-Integrated Baseline"

Abstract-Autonomous decentralized cooperative control (ADCC) DC microgrids demonstrate remarkable resilience against disasters and accidents, even partially damaged grids can continue functioning using the remaining operational parts. This resilience makes them particularly well-suited for regional microgrids in residential areas. We proposed an innovative ADCC DC microgrid that incorporates a battery-integrated DC baseline, comprising numerous small batteries distributed and directly connected to the baseline. To validate this concept, we constructed a testbed and conducted comprehensive verification experiments.
This presentation will provide an in-depth explanation of the principles and construction methods of the DC grid. Key topics include the implications of directly connecting batteries to the baseline, the advantages and disadvantages of this approach, and its influence on the control hierarchy within the microgrid system. A standout feature of this system is the ‘baseline’ at the physical layer, situated at the foundation of the DC grid system hierarchy. This baseline extends beyond basic power exchange function, encompassing functions such as grid stabilization through electrical inertia, power distribution equalization within the grid, and coordinated power supply. By incorporating these functions in the baseline, It alleviates the control burden traditionally managed by DC/DC converters at higher control layers in conventional DC grids, enabling more advanced and efficient operations.
Reference) H. Yamada, "Autonomous Decentralized Cooperative Control DC Microgrids Realized by Directly Connecting Batteries to the Baseline," Electronics 14(7), 1356, 2025; [https://doi.org/10.3390/electronics14071356]

 

 

 

		Wanjun Huang, Beihang Univerisity, China

Wanjun Huang received the B.S. degree in electrical engineering and automation from Zhejiang University in 2016, and the Ph.D. degree from The University of Hong Kong in 2020. She was a Postdoctoral Fellow with the School of Data Science, City University of Hong Kong, Hong Kong SAR, China, and the Department of Information Engineering, Chinese University of Hong Kong, Hong Kong SAR, China in 2021 and 2022, respectively. She is now an associate professor with the School of Automation Science and Electrical Engineering, Beihang University, China, and an associate researcher with the Shenzhen Institute of Beihang University, China. Her research interests include voltage stability, optimal power flow, distribution network reconfiguration, and the application of machine learning in power systems.

Speech title "Data-Driven Stable and Optimal Operation of High Renewable Penetrated Power Systems"

Ensuring the stable and optimal operation of power systems is of paramount importance for economic development and social stability. However, the growing penetration of stochastic, fluctuating, and intermittent renewable energy sources (RESs) leads to new challenges: (i) power grid network structures and operational modes are becoming increasingly intricate, resulting in complex stability mechanisms; (ii) the uncertainties associated with RESs cause security concerns, including voltage violations, insufficient energy reserves, real-time power balance and more; (3) fast OPF solution algorithms are required for large-scale systems.
In this talk, I will present how our data-driven approaches effectively tackle the aforementioned challenges. First, I will introduce a novel deep-learning-aided voltage-stability-enhancing distribution network reconfiguration approach. It employs deep learning techniques to analyze power system voltage stability from a network-based view and utilizes it to identify and construct stable power network structures. Second, I will illustrate a data-driven distributionally robust optimization approach for optimal scheduling of power systems. This approach adeptly handles various challenges associated with RESs, including uncertainties, three-phase unbalance, and computationally demanding tasks. Furthermore, I will illustrate our innovative deep learning-based methodologies that provide fast and feasible AC-OPF solutions. Finally, I will conclude with my long-term vision for physics-informed data-driven optimal operation of flexible interconnected distribution networks with highly penetrated RESs.

 

 

 

		Guizao Huang, Southwest Jiaotong University, China

Dr. Guizao Huang is an associate researcher and master's supervisor at Southwest Jiaotong University. He earned his B.E. and Ph.D. from Chongqing University in 2015 and 2020, respectively. His research is dedicated to improving disaster prevention and mitigation for transmission and distribution equipment under severe conditions. He leads several national and regional research projects, has published over 30 SCI/EI papers, and contributes to international standards through his roles in committees like CIGRE B2.84 and IEEE P3133. He is also an active chair at major IEEE conferences CIYCEE 2021、IEEE PandaFPE 2023, et. al .

 

 

 

		Jiehui Zheng, South China University of Technology, China

Dr. Jiehui Zheng has been selected in “Lifting Project for Young Talents of CSEE” in 2021. He has hosted TWO research project of national natural science foundation of China (NSFC), THREE research projects of Guangdong natural science foundation, one research project of Guangzhou natural science foundation, and one research project of China postdoctoral foundation. He has participated in more than ten projects as a main researcher. He has published more than 70 SCI/EI indexed papers, including 45 SCI papers as the first author/corresponding author, 2 ESI highly cited paper, 6 Q1 top papers, 1 English monograph published by Springer Nature, and 6 Chinese patents. He has served as the oral session chair of IEEE International Power System Conference, reviewer of international authoritative journals in the field of power system, and has been invited to participate in international conferences as a paper presentation speaker for many times. He has received Excellent Reviewer Certificate for journals in power and energy systems, such as Applied Energy, Energy, CSEE Journal of Power and Energy Systems, etc. He serves as Editorial Board Member of Clean Energy Science and Technology, Medicon Engineering Themes and Societal Impacts, and Young Editorial Board Member of Applied Energy (JCR Q1, IF=11.094) and Renewable and Sustainable Energy.