Prof. Dong Yue（岳东）
Nanjing University of Posts and Telecommunications, China
Experience: Dong Yue is an IEEE Fellow, Fellow of Chinese Society of Automation, Dean of School of Automation, School of Artificial Intelligence and Advanced Technology Research Institute, Nanjing University of Posts and Telecommunications, Distinguished Professor of Changjiang Scholars, Chair of IEEE PES (China) Smart Grid and New Technologies Committee, and Chair of IEEE IES Network Control Systems and Applications Committee. His research interests include networked control and security, smart grid optimization and coordination control. He received his ph. D. degree from the Department of Automation, South China University of Technology in 1995. From 1995 to 1997, he worked as a postdoctoral fellow in China University of Mining and Technology.
Prof. Minghua Chen (陳名華)
City University of Hong Kong
Experience: Minghua received his B.Eng. and M.S. degrees from the Department of Electronic Engineering at Tsinghua University. He received his Ph.D. degree from the Department of Electrical Engineering and Computer Sciences at University of California Berkeley. He is now a Professor at School of Data Science, City University of Hong Kong. Minghua received the Eli Jury award from UC Berkeley in 2007 (presented to a graduate student or recent alumnus for outstanding achievement in the area of Systems, Communications, Control, or Signal Processing) and The Chinese University of Hong Kong Young Researcher Award in 2013. He also received several best paper awards, including IEEE ICME Best Paper Award in 2009, IEEE Transactions on Multimedia Prize Paper Award in 2009, ACM Multimedia Best Paper Award in 2012, and IEEE INFOCOM Best Poster Award in 2021. He serves as Associate Editor of IEEE/ACM Transactions on Networking in 2014 - 2018. He receives the ACM Recognition of Service Award in 2017 and 2020 for service contributions to the research community. He is currently a Senior Editor for IEEE Systems Journal (2021- present), an Area Editor of ACM SIGEnergy Energy Informatics Review (2021 - present), and an Award Chair and Executive Committee member of ACM SIGEnergy (2018 - present). Minghua’s recent research interests include online optimization and algorithms, machine learning in power system operation, intelligent transportation systems, distributed optimization, delay-constrained network coding, and capitalizing the benefit of data-driven prediction in algorithm/system design. He is an ACM Distinguished Member and an IEEE Fellow.
Prof. Yang Han (韩杨）
University of Electronic Science and Technology of China
Title: Modeling and Control of Power Electronic Converters for Microgrid Applications
Abstract: This presentation introduces the fundamental ideas of power electronic converter modeling and control, digital simulation, and experimental studies in the renewable energy systems and AC/DC microgrid. Recent advanced control methods for voltage source inverters (VSIs) and the hierarchical controlled islanded microgrid would be presented, including the mathematical modeling, controller synthesis, parameter selection and multi-time scale stability analysis, as well as the consensus-based control strategies for the microgrid and microgrid clusters. This topic would be an invaluable technical reference for practicing engineers and researchers working in the areas of renewable energy, power electronics, energy internet, and smart grid. This topic has been published in the recent book “Modeling and Control of Power Electronic Converters for Microgrid Applications” by Springer: https://www.springer.com/gp/book/9783030745127.
Experience: Yang Han (S’08-M’10-SM’17) received the Ph.D. degree in Electrical Engineering from Shanghai Jiaotong University (SJTU), Shanghai, China, in 2010. In 2010, he joined the University of Electronic Science and Technology of China (UESTC), Chengdu, China, where he has been an Associate Professor in 2013, and Full professor in 2021. From March 2014 to March 2015, he was a Visiting Scholar with the Department of Energy Technology, Aalborg University, Aalborg, Denmark. He is currently with the School of Mechanical and Electrical Engineering, UESTC. His research interests include the ac/dc microgrids, active distribution networks, power quality, grid-connected converters for renewable energy systems, active power ﬁlters, multilevel converters, and static synchronous compensators (STATCOMs).
Dr. Han has received several national and provincial projects, and more than 20 industrial projects in the area of power electronics, smart grid, microgrid, and power quality analysis and compensation. He holds more than 30 issued and pending patents. Dr. Han was listed as “World Top 2% Scientist 2020” by Stanford University in 2020, and the recipient of the Young Scientist Award in CPESE 2021, the Provincial Science and Technology Award in 2020, Science and Technology Award from Sichuan Electric Power Company in 2019, Academic Talent Award by UESTC, in 2017, Baekhyun Award by the Korean Institute of Power Electronics, in 2016. He has published a book “Modeling and Control of Power Electronic Converters for Microgrid Applications”, ISBN: 978-3-030-74512-7, Springer. He served as an Associate Editor of Journal of Power Electronics (2019.01-2020.12) and IEEE ACCESS.
Assoc. Prof. Philip W.T. Pong
New Jersey Institute of Technology, USA
Title: Magnetic Sensing in Condition Monitoring and Anomaly Detection for Smart Grid: Opportunities and Alternatives
Abstract: Our physical and cyber environments are becoming increasingly intertwined with smarter sensing, communication, and data analytics. Our daily livings are indeed surrounded by a wide variety of sensors, IoT connectivity, and edge computing devices, constituting smart grid, smart city, smart transportation, and so on. The availability of sensing devices with measurement, communication, and processing capabilities is providing fine-grained data. Together with multimodal sensory data collection and sensor fusion can result in actionable insights and decisions. This synergy can lead to improved ways and quality of life in what we call smart living.
Magnetism is one of the six energy forms of measurands in sensing. Magnetic sensing plays a critical role in smart living due to various sources of magnetic fields such as magnetic fields from current-carrying wires and permanent magnets which are geometrically determined by Biot-Savart Law and Ampere's Law respectively. These magnetic fields can range from DC to AC, from low frequency to high frequency. Modern civilization heavily relies on electricity which are generated, transmitted, and utilized through various kinds of transmission medium and electrical machines that are composed of current-carrying conductors, electromagnets, and permanent magnets. As such, magnetic field sensing is an important source of data and thus information for condition monitoring of power generation, transmission, and distribution.
In this talk, we will discuss the various opportunities and alternatives magnetic field sensing can offer in condition monitoring and anomaly detection in smart grid and smart city. Since it is contactless sensing, its installation is easy and it can be easily retrofitted to the existing plant and equipment. This will minimize cost, avoid wear and tear, and meet stringent reliability requirement. Contactless magnetic sensing can complement the traditional contact measurement techniques and help to overcome the major obstacle towards pervasive sensing due to its scalability.
Experience: Philip W. T. Pong received a B.Eng. from the University of Hong Kong (HKU) in 2002 with 1st class honours. Then he studied for a PhD in engineering at the University of Cambridge (2002-2005). His research interest currently focuses on the development and application of advanced sensing techniques based on electromagnetic sensors in smart grid and nanotechnology. He is a Fellow of the Institution of Engineering and Technology (FIET), a Fellow of the Institute of Materials, Minerals and Mining (FIMMM), a Fellow of the Energy Institute (FEI) and also a Fellow of the NANOSMAT Society (FNS). He is a Senior Member of IEEE and corporate member of HKIE in Electrical Division and Electronics Division. He is an associate editor for two SCI journals: International Journal of Modern Physics B and Modern Physics Letters B.
Assoc. Prof. Dmitriy Karamov
Irkutsk National Research Technical University, Russia
Experience: Dmitriy Karamov received the Spec.Eng. (Hons.) degree in electrical engineering from Irkutsk National Research Technical University, Irkutsk, Russia, in 2012, and the Ph.D. degree in electrical engineering from Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences, Irkutsk, in 2016. He is currently a Senior Research Fellow with Melentiev Energy Systems Institute, Siberian Branch of the Russian Academy of Sciences. His research interests include mathematical modeling, renewable energy sources, energy storage, and autonomous power supply systems.