The University of Texas at Arlington, USA
IEEE Fellow, Director of Energy Systems Research Center
President Elect, IEEE, Industry Application Society
Registered Professional Engineer in the State of Texas
Biography: Professor Lee received the B.S.
and M.S. degrees from National Taiwan University, Taipei, Taiwan.,
and the Ph.D. degree from the University of Texas, Arlington, in
1978, 1980, and 1985, respectively, all in Electrical Engineering.
In 1986, he joined the University of Texas at Arlington, where he is
currently a professor of the Electrical Engineering Department and
the director of the Energy Systems Research Center.
He has been involved in the revision of IEEE Std. 141, 339, 551,
739, 1584, and 3002.8 development. He is the President of the IEEE
Industry Application Society (IAS), the chair of IEEE TAB (Technical
Activity Board) Climate Change Program, co-chair of IEEE Sustainable
Development Ad Hoc Committee, member of IEEE Ad Hoc Committee to
Coordinate IEEE’s Response to Climate Change (CCIRCC), member of
IEEE TAB Hall of Honor, and the project manager of IEEE/NFPA
Collaboration on Arc Flash Phenomena Research Project.
Prof. Lee has been involved in research on Utility Deregulation,
Renewable Energy, Arc Flash Hazards and Electrical Safety, Smart
Grid, MicroGrid, Industrial Internet of Things (IIoT) and Virtual
Power Plants (VPP), AI for Load, Price, and Wind Capacity
Forecasting, Power Quality, Distribution Automation, Demand
Response, Power Systems Analysis, Short Circuit Analysis and Relay
Coordination, Distributed Energy Resources, Energy Storage System,
PEV Charging Infrastructure Design, AMI and Big Data, On Line Real
Time Equipment Diagnostic and Prognostic System, and Microcomputer
Based Instrument for Power Systems Monitoring, Measurement, Control,
He has served as the primary investigator (PI) or Co-PI of over one
hundred funded research projects. He has published more than two
hundred and ten journal papers and three hundred and ten conference
proceedings. He has provided on-site training courses for power
engineers in Panama, China, Taiwan, Korea, Saudi Arabia, Thailand,
and Singapore. He has refereed numerous technical papers for IEEE,
IET, and other professional organizations.
Prof. Lee is a Fellow of IEEE, member of National Academy of
Inventors, and registered Professional Engineer in the State of
Speech title "Arc Flash Hazard and
Electrical Safety" Introduction to the 2018 Edition of IEEE Std.
1584-2018: Guide for Performing Arc-Flash Hazard Calculations
Abstract: Though electrical incidents
represent a relatively small percentage of all work-related
incidents, they are disproportionately fatal. In the case of burn
injury, it may result in extended hospitalization and
rehabilitation. Proper protection is the key to reduce casualties
during these incidents. IEEE 1584 and NFPA 70E are developed to
protect the safety of the workers.
For better understanding of the arc flash phenomena, the IEEE and
the NFPA (National Fire Protection Association) have joined forces
on an initiative to fund and support research and testing to improve
the understanding of arc flashes. The results of this collaborative
project will provide information that will be used to improve
electrical safety standards, predict the hazards associated with
arcing faults and accompanying arc blasts, and provide practical
safeguards for employees in the workplace. The identified areas
include but are not limited to: 1) Heat and Thermal Effects, 2)
Blast Pressure, 3) Sound, and 4) Light intensity.
This presentation will cover the heat and thermal related arc flash
hazards. It will include the basic understanding of the arc flash,
performing the arcing current and incident energy estimation, and
brief introduction to newly released IEEE Std. 1584–2018, IEEE Guide
for Performing Arc-Flash Hazard Calculations.
Prof. Fushuan Wen
Zhejiang University, China
IEEE Fellow, Director of the Institute of Power Economics and
Editor-in-chief of Energy Conversion and Economics (IET, Wiley),
Deputy editor-in-chief of Journal of Automation of Electric Power
Systems, Editor of IEEE Transactions on Power Systems and IEEE Power
Engineering Letters, etc.
Biography: Professor Fushuan Wen
received the B.E. and M.E. degrees from
Tianjin, China, in 1985 and 1988, respectively, and the Ph.D. degree
from Zhejiang University,
Hangzhou, China, in 1991, all in electrical engineering. He joined
the faculty of Zhejiang University
in 1991, and has been a full professor and the director of the
Institute of Power
Economics and Information since 1997, and the director of
Zhejiang University-Insigma Joint
Research Center for Smart Grids since 2010. He is a
Professor in Energy Systems at
Tallinn University of Technology.
He has been undertaking various teaching, research and
National University of Singapore
Fellow, Research Fellow),
Hong Kong Polytechnic University
Visiting Assistant Professor),
University of Hong Kong (Research Assistant
China University of Technology (University
University of New South Wales
in Australia (ARC
Project Senior Fellow, Senior Visiting Fellow),
Queensland University of Technology
in Australia (CSIRO
and ARC Project Visiting Fellow),
Brunei University of Technology
(Professor in Power
University of Denmark (Otto Monsted Guest
Professor in Power Systems),
Nanyang Technological University
in Singapore (Visiting Fellow),
in Australia (Adjunct Professor),
Hangzhou Dianzi University
in China (Yusheng XUE Education Foundation Distinguished Professor),
Commonwealth Scientific and Industrial
Research Organization (CSIRO)
in Australia (Honorary Visiting Scientist),
Shenzhen Institute of Artificial
Intelligence and Robotics for Society(Visiting Principal
Research Fellow). His research interests include: 1)
power economics and electricity markets; 2) power system investment,
planning and operation optimization; 3) smart grids and electric
vehicles; 4) power system alarm processing, fault diagnosis and
system restoration; 5) artificial intelligence applications in power
and integrated energy systems. He has published 200+ SCI-indexed
papers, 650+ EI-indexed papers, and 720+ Scopus-indexed papers. His
publications have been cited for 16000+ times. He has completed and
is undertaking more than 170 grants and projects from governmental
organizations and industry.
Prof Wen received many awards both at the national level and
provincial level, including the
prestigious National Natural Science Award of China. He has been
listed in "Most Cited Chinese Researchers" in six consecutive years
since 2015 by Elsevier, and is the author of one of the China's 100
Most Influential Domestic Academic Papers in 2016.
Prof Wen is the editor-in-chief of
Energy Conversion and Economics
(IET, Wiley), thedeputy editor-in-chief
Journal of Automation of Electric
an editor of
IEEE Transactions on Power Systems
and IEEE Power
a subject editor in power system economics of
IET Generation, Transmission and
an associate editor of
Journal of Energy Engineering
and Journal of
Modern Power Systems and Clean Energy.
He is also on the editorial boards of more than 10 journals.
Prof Wen was the General Chairman of
2020 International Conference on Smart Grids
and Energy Systems (SGES 2020),
Nov. 23-26, 2020,
Prof Wen was elected to IEEE Fellow
for contributions to fault diagnosis
in power grids in November, 2020.
Prof. Mohamed Benbouzid
University of Brest, France
IEEE Fellow, IET Fellow, Editor-in-Chief of the International
Journal on Energy Conversation and Applied Sciences(MDPT)
Section on Electrical, Electronics and Communications Engineering,
Associate Editor of the IEEE Transactions on Energy Conversation
Biography: Mohamed Benbouzid received
the B.Sc. degree in electrical engineering from the University of
Batna, Batna, Algeria, in 1990, the M.Sc. and Ph.D. degrees in
electrical and computer engineering from the National Polytechnic
Institute of Grenoble, Grenoble, France, in 1991 and 1994,
respectively, and the Habilitation à Diriger des Recherches degree
from the University of Picardie “Jules Verne,” Amiens, France, in
After receiving the Ph.D. degree, he joined the Professional
Institute of Amiens, University of Picardie “Jules Verne,” where he
was an Associate Professor of electrical and computer engineering.
Since September 2004, he has been with the University of Brest,
Brest, France, where he is a Full Professor of electrical
engineering. Prof. Benbouzid is also a Distinguished Professor and a
1000 Talent Expert at the Shanghai Maritime University, Shanghai,
China. His main research interests and experience include analysis,
design, and control of electric machines, variable-speed drives for
traction, propulsion, and renewable energy applications, and fault
diagnosis of electric machines.
Prof. Benbouzid has been elevated as an IEEE Fellow for his
contributions to diagnosis and fault-tolerant control of electric
machines and drives. He is also a Fellow of the IET. He is the
Editor-in-Chief of the INTERNATIONAL JOURNAL ON ENERGY CONVERSION
and the APPLIED SCIENCES (MDPI) Section on Electrical, Electronics
and Communications Engineering. He is a Subject Editor for the IET
RENEWABLE POWER GENERATION. He is also an Associate Editor of the
IEEE TRANSACTIONS ON ENERGY CONVERSION.
Speech title "Challenges and Potential
Solutions for Tidal Stream Turbines Drivetrains"
Abstract-Tidal stream energy is one of
the promising solutions to lower CO2
emissions. It is sustainable and predictable. In fact, tidal current
oscillations are highly predictable, unlike other types of energy.
Tidal stream energy is usually harnessed using horizontal axis tidal
turbines, which are analogous to wind turbines. However, the maximum
power extracted from a tidal turbine is 61% higher than a wind
turbine of the same input power because of the higher density of
water over air. Tidal stream turbines are submerged systems so they
have to withstand high loading and harsh submerged conditions.
Furthermore, many challenges have to be overcome to improve their
reliability, availability, and decrease maintenance costs. In
particular, the turbine drivetrain and generator option choices
affect the availability as well as the cost of energy.
In this challenging context, this keynote will address the critical
issue of tidal stream turbine drivetrain options, while proposing
trends and discussing potential and promising topology options.
Assoc. Prof. Philip W. T. Pong
New Jersey Institute of Technology, Newark, United States
IET Fellow, Institute of Physics Fellow, Director of Sensor Research Laboratory
Biography: 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). He was a postdoctoral researcher at the
Magnetic Materials Group at the National Institute of Standards and
Technology (NIST) for three years. His research interest currently
focuses on the development and application of advanced sensing
techniques based on electromagnetic sensors in smart grid and smart
city. Philip Pong is a Fellow of the Institution of Engineering and
Technology (FIET), a Fellow of the Institute of Physics (FInstP), a
Fellow of the Energy Institute (FEI), a Fellow of the Institute of
Materials, Minerals and Mining (FIMMM), a Fellow of the Hong Kong
Institution of Engineers (FHKIE), a Fellow of the NANOSMAT Society
(FNS), a chartered physicist (CPhys), a chartered engineer (CEng), a
chartered energy engineer, a registered professional engineer
(R.P.E. in Electrical, Electronics, Energy), and a Senior Member of
IEEE (SMIEEE). He serves on the editorial boards for several IEEE
and SCI journals.
Speech title "Contactless Magnetic Sensing
in Condition Monitoring and Anomaly Detection for Smart Grid: New
Possibilities 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.