Course Title: S0214 Blockchain and its Application in Energy Internet
Duration: 2021.7.8-2021.7.23 (2 weeks)
Blockchain is a decentralized ledger that can enable trustworthy systems at large scales. A copy of the ledger is stored by each participating party and synchronized using a consensus algorithm, making the ledger transparent and robust against cyberattacks. While these technologies have already significantly impacted the financial industry (e.g., Bitcoin), they also have many applications to the power and energy society.
Applications of blockchain in the energy sector include automatic energy transactions, power system asset ownership tracking, etc. Several demonstrations have been deployed around the world, such as the peer-to-peer energy transaction project deployed in Brooklyn, NY, by LO3Energy, the PowerLedger project backed by the Australian government, and Enerchain joined by a large number of European utilities. Hopefully, it will revolutionize the way that energy transactions and power system asset tracking is performed, bring opportunities for numerous small-scale players.
This course aims to help students learn the basic knowledge of blockchain, explore some typical applications of blockchain technology in the energy sector, build blockchain-enabled energy trading simulation platforms; visit some related pilot projects in Shanghai, and lay the foundation for students to explore further applications. The summer course will provide a good opportunity to network with people working in the field, meet prominent researchers, share best practices, and establish contacts through social interactions that may lead to research collaborations in the future.
Dr. Sijie CHEN
Sijie Chen is currently an Assistant Professor in the Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China. He received his B.E. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2009 and 2014, respectively. His research interests include energy blockchain, demand response, transactive energy system, and the electricity market. He is the chair of the IEEE PES SBLC blockchain working group and a co-chair of the IEEE PES SBLC load aggregator and distribution market working group.
Dr. Keyou WANG
Keyou Wang received the B.S. and M.S. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2001 and 2004, respectively, and the Ph.D. degree from the Missouri University of Science & Technology (formerly University of Missouri-Rolla) in 2008. He is currently a Professor and the Vice Department Chair of Electrical Engineering with Shanghai Jiao Tong University. His research interests include power system dynamics and stability, renewable energy integration, and converter dominated power system. He serves as an Associate Editor of IET Generation Transmission & Distribution.
Dr. Zheng YAN
Zheng Yan received the B.S. degree in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 1984, and the M.S. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 1987 and 1991, respectively. He is a Professor of Electrical Engineering with Shanghai Jiao Tong University. His current research interests include the application of optimization theory to power systems and power markets and dynamic security assessment.
Dr. Donghan FENG
Donghan Feng received the B.Sc. and Ph.D. degrees from the Department of Electrical Engineering, Zhejiang University, Hangzhou, China, in 2003 and 2008, respectively. He has been with the faculty of Shanghai Jiao Tong University (SJTU), Shanghai, China, since 2008, where he is currently a full Professor, and also serves as the Deputy Director of the State Energy Smart Grid Research and Development Center. His current research interests include operation and trading strategies in smart energy networks.
Dr. Xiaoyuan XU
Xiaoyuan Xu received both the B.S. and Ph.D. degrees in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2010 and 2016, respectively. He is currently an assistant professor at Shanghai Jiao Tong University. He is also a Visiting Scholar with the Illinois Institute of Technology, Chicago, IL, USA. His research interests include power system uncertainty quantification and power system optimization.
Dr. Yong YAN
Yong Yan received the B.S. and the M.S. degrees from Chongqing University, Chongqing, China, and South China University of Technology, Guangzhou, China, in 2006 and 2009, respectively. He is currently working in State Grid Zhejiang Electric Power Corporation Research Institute, China. His current research interests are blockchain, artificial intelligence, and power system.
Dr. Xinyi LE
Xinyi Le received a B.E. degree in microelectronic mechanical engineering and
a B.S. degree in mathematics from Tsinghua University, Beijing, China, in 2012, and the Ph.D. degree in mechanical and automation engineering from the Chinese University of Hong Kong, Hong Kong, in 2016. She is a Lecturer with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. Her current research interests include neural networks, distributed optimization, robust control, and intelligent manufacturing.
Dr. Xiaobi TENG
Xiaobi Teng received a Ph.D. degree in electrical engineering from Tsinghua University, Beijing, China, in 2012. He is currently with the East China Branch of State Grid Corporation of China. His research interests include power system dispatch and cyber-physical-human systems.
Midterm presentation: 40%
Final program summary: 40%
Program Director: Sijie Chen (firstname.lastname@example.org)
Program Coordinator: Sijie Chen (email@example.com)