Keynote Speakers
Keynote Speaker I
Prof. Qiang Yang
Zhejiang University, China
Title: AI Empowered Sustainable Energy Systems: Challenges and Case
Studies
Abstract: The current power systems are
undergoing a rapid transition towards their more active, flexible, and
intelligent counterpart smart grid, which brings about tremendous challenges in
many domains, e.g., integration of various distributed renewable energy sources,
cyberspace security, demand-side management, and decision-making of system
planning and operation. The fulfillment of advanced functionalities in the smart
grid firmly relies on the underlying information and communication
infrastructure, and the efficient handling of a massive amount of data generated
from various sources, e.g., smart meters, phasor measurement units, and various
forms of sensors. This talk will briefly cover the AI empowered sustainable
energy systems from the aspects of technical challenges and case studies. It
demonstrates the increasing interest and rapid expansion in the use of machine
learning techniques to successfully address the technical challenges of the
smart grid from various aspects. It is also revealed that some issues still
remain open and worth further research efforts, such as the high-performance
data processing and analysis for intelligent decision-making in large-scale
complex multi-energy systems, lightweight machine learning-based solutions, and
so forth. Moreover, the future perspectives of utilizing advanced computing and
communication technologies, e.g., edge computing, ubiquitous internet of things
and 5G wireless networks, in the smart grid are also highlighted. To the best of
our knowledge, this is the first review of machine learning-driven solutions
covering almost all the smart grid application domains. Machine learning will be
one of the major drivers of future smart electric power systems, and this study
can provide a preliminary foundation for further exploration and development of
related knowledge and insights.
Biodata: Qiang Yang (M'03-SM'18) received Ph.D. degree in
Electronic Engineering and Computer Science from Queen Mary, University of
London, London, U.K., in 2007 and worked in the Department of Electrical and
Electronic Engineering at Imperial College London, U.K., from 2007 to 2010. He
visited the University of British Columbia and the University of Victoria Canada
as a visiting scholar in 2015 and 2016. He is currently a full Professor at the
College of Electrical Engineering, Zhejiang University, China, and has published
more than 240 technical papers, filed more than 60 national and international
patents, co-authored 2 books, and edited 2 books and several book chapters. His
research interests over the years include smart energy systems, large-scale
complex network modeling, control and optimization, learning based optimization
and control. He is a Fellow of the British Computer Society (BCS), a Senior
Member of IEEE and the Senior Member of China Computer Federation (CCF).
Keynote Speaker II
Prof. Yunhe Hou
The University of Hong Kong, Hong Kong, China
Title: Resilient Operation of Urban Power Grids under the New Energy
Paradigm
Abstract: A reliable power supply is essential
for maintaining societal and economic well-being. Strengthening resilience in
the emerging energy infrastructure is a critical aspect of modernization. This
presentation will explore urban energy systems operation during extreme weather
events, with an emphasis on renewable energy integration. Proactive resilient
operating strategies for extreme events and coordination approaches for various
stages of these events will be demonstrated. A systematic method for modelling
aleatoric and epistemic uncertainties will be proposed to quantify the different
uncertainties during extreme events. Additionally, the potential applications of
innovative power-electronic devices to enhance resilience will be discussed in
this talk.
Biodata: Yunhe Hou received the B.E. and Ph.D. degrees in
electrical engineering from Huazhong University of Science and Technology,
Wuhan, China, in 1999 and 2005, respectively. He was a Post-Doctoral Research
Fellow at Tsinghua University, Beijing, China, from 2005 to 2007, and a
Post-Doctoral Researcher at Iowa State University, Ames, IA, USA, and the
University College Dublin, Dublin, Ireland, from 2008 to 2009. He was also a
Visiting Scientist at the Laboratory for Information and Decision Systems,
Massachusetts Institute of Technology, Cambridge, MA, USA, in 2010. He has been
a Guest Professor with Huazhong University of Science and Technology, China from
2017 and an Academic Adviser of China Electric Power Research Institute from
2019. He joined the faculty of the University of Hong Kong, Hong Kong, in 2009,
where he is an Associate Professor with the Department of Electrical and
Electronic Engineering. Dr. Hou was an Associate Editor of the IEEE Transactions
on Smart Grid from 2016 to 2021. Dr. Hou is currently an Associate Editor of the
IEEE Transactions Power Systems and Journal of Modern Power Systems and Clean
Energy.
Keynote Speaker III
Prof. Feng Deng
Changsha University of Science and Technology, China
Title: Research on High Impedance Fault Sensing and Accurate
Identification in New Distribution System
Abstract: The construction of the new
distribution system makes the distribution network a significantly
high-dimensional, stochastic, complex and large-scale nonlinear system, which
brings new challenges to the accurate identification of high impedance faults
(HIFs). Therefore, the research on sensitive perception and accurate
identification of HIFs in new distribution system has been carried out. Firstly,
the survival and development mechanisms of HIFs in the distribution network were
studied. On this basis, a HIFs model using dynamic impedance in series was
proposed, which can accurately simulate the nonlinear characteristics of fault.
And then, by analyzing the difference of the time-frequency energy distribution
of the signal in the case of HIFs and normal transient disturbance, the
theoretical foundation is laid for the recognition of HIFs. Next, a PCB
traveling wave sensor based on Rogowski coil was developed, which has the
advantages of wide frequency band response and strong anti-interference
capability. Subsequently, research was conducted on high-precision voltage
traveling wave detection methods based on L1 regularization inversion and the
fault traveling wave time-frequency analysis method based on variational modal
decomposition and wigner ville distribution (VMD-WVD). These methods aim to
achieve sensitive detection of HIF signals and provide technical support for the
identification of HIFs. Finally, a convolutional neural network and support
vector machine (CNN-SVM) hybrid neural network is used to solve the problem of
difficult model training under small sample scenarios of HIFs, a graph attention
neural network is utilized to overcome the impact of network topology changes.
additionally, a data-knowledge fusion-driven approach is employed to construct a
fault identification model that adapts to various fault scenarios, which
ultimately realize the sensitive sensing, effective identification, accurate
line selection and precise location of HIFs in the new distribution system.
Biodata: Deng Feng, Distinguished Professor, PhD supervisor,
Hunan Provincial Distinguished Youth Scholar, Hunan Provincial "Huxiang Young
Talent" in Science and Technology Innovation, Teaching Master of Ideological and
Political Education Demonstration Courses sponsored by the Ministry of
Education, currently serves as the Deputy Director of the Academic Affairs
Office at Changsha University of Science and Technology. She has long been
engaged in long-term research in the fields of power system protection and fault
localization, as well as weak fault detection in distribution networks. In the
past five years, she has led two General Programs of National Natural Science
Foundation of China and over 10 provincial and ministerial-level programs,
including the Hunan Provincial Science Foundation for Distinguished Young
Scholars, and undertaken two national key research and development programs as a
key researcher. She also serves as the Deputy Secretary-General of the IEEE PES
Power System Protection and Control Technical Committee and a young editorial
board member of "Power System Protection and Control." She received the Hunan
Provincial Science and Technology Progress First Prize in 2020, the Gold Medal
at the International Exhibition of Inventions Geneva in 2021, the First Prize in
the Hunan Provincial Higher Education Teaching Achievement Awards in 2022, and
the Third Prize in the National University Young Teachers Teaching Competition
in 2023.
Keynote Speaker IV
Dr. Kai Shi
TAE Power Solutions Ltd. UK & TAE Technologies California, USA
The University of Warwick, UK
Title: Industrial Applications of the Hardware-in-the-loop Testing for
Battery System Developing in the Area of Automotive, Aerospace, and Grid Storage
Abstract: Hardware-in-loop (HiL) testing has come
an important part of the research and development (R&D) of complex systems for
both academic research and industrial applications. An increasing number of
industrial companies have integrated the HiL testing into their V-model for the
R&D. This presentation will give an introduction to the HiL system and its
application in developing battery systems for automotive, aerospace, and grid
storage applications. The concept of HiL testing, the architecture of a HiL
system, and the approach of designing HiL testings will be introduced. Several
case studies about the integration of HiL testing for automotive and aerospace
applications will be demonstrated.
Biodata: Dr Kai Shi received his BEng and PhD in electrical
engineering and electronics from the University of Liverpool UK, in 2013 and
2018, respectively. From 2018 to 2023, he worked as a research fellow in the
Hardware-in-the-loop Laboratory supported by the High Value Manufacturing
Catapult (HVMC) funds at the Warwick Manufacturing Group (WMG), the University
of Warwick UK. Being with WMG for 5 years, he worked closely with industries and
had been involved in several R&D projects with automotive and aerospace
companies such as Lotus, BMW, Vertical Aerospace UK, and Rolls Royce Aerospace
etc. In 2023, he moved to industry and joined the TAE Power Solution UK as a
senior engineer for developing the next generation of the battery and power
electronics systems.
Keynote Speaker V
Prof. Jianzhong Xu
North China Electric Power University, China
Title: Unified iterative algorithm for power flow of AC/DC system with multi-type DC links
Abstract: As an emerging trend in power grid development, the AC/DC hybrid power grid presents the characteristics of multi-type DC links and large-scale AC/DC interconnection. This presentation will explore a power flow calculation algorithm for large-scale AC/DC systems with multi-type DC links. The power grid dispatching system's CIM/XML file is converted into power flow calculation data, and a unified approach to model the AC/DC system's power flow discussed. A unified iterative algorithm for large-scale AC/DC system with multi-type DC links is then proposed. The algorithm's correctness and effectiveness are verified by comparing with actual measurements from southern power grid of China.
Biodata: Jianzhong Xu (Senior Member, IEEE) was born in June 1987, Shanxi, China. He received the B.S. and Ph.D. degrees from North China Electric Power University (NCEPU) in 2009 and 2014 respectively, majoring in Power System and Its Automation. Currently, he is a professor of the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (NCEPU), Beijing, China. From 2012 to 2013, and 2016 to 2017, he was respectively a Visiting Ph.D. Student and Post-Doctoral Fellow at the University of Manitoba, under supervision of Prof. Ani Gole. He has published 120 journal papers with 4 Highly Cited Papers, 3 books and 60 patents. He also serves as Editorial Committee Members/Reviewers of 12 journals, and was outstanding reviewer of IEEE TPWRD in 2020. He is now working on the electromagnetic transient (EMT) simulations of emerging power electronic converters (MMC, SST, etc.), renewable energy source generations and large-scale AC/DC power gird.