Keynote Speakers
Jizhong Zhu,
South China University of
Technology, China
IEEE/IET/CSEE Fellow/AAIA Fellow |
||
Jizhong Zhu is a Professor of South China University of Technology, National Distinguished Expert, and Foreign Corresponding Academician of Academy of Sciences of Bologna Institute, Italy. He is an IEEE Fellow, IET Fellow, CSEE Fellow, AAIA Fellow, AIIA Fellow, Chair of IEEE PES Smart Building, Loads, Customer Systems Technical Committee (China), Chair of IEEE Standard P2781 - Load Modeling and Simulation, Chair of IEEE Standard P2783 – Quick Response System, Chair of IEEE Standard P3436 – EV Charging Load Prediction, IEEE SMC Technical Committee member on Intelligent Power and Energy Systems. He is also an Expert of International Electrotechnical Commission WGs IEC SEG6, IEC TC22 AHG1, IEC TC22 AHG2, respectively. Dr. Zhu has worked at ALSTOM Grid Inc. in Washington State, Howard University in Washington, D.C., the National University of Singapore, Brunel University in England, Chongqing University in China, and China Southern Power Grid. He was a Fellow with ALSTOM Grid Inc., and an honorable advisory professor of Chongqing University. He has hosted and participated in more than 20 international large-scale power engineering projects, as well as led and participated in the compilation and formulation of 6 IEC and IEEE international standards. He has published six books, as well as over three hundred papers in the international journals and conferences. He has authorized more than 20 national patents and won more than 10 international and domestic academic awards. His research interest is in the analysis, operation, planning and control of power systems, integrated energy systems, smart grid, power markets as well as applications of renewable energy
Hoay Beng Gooi,
Nanyang Technological
University, Singapore
IEEE Life Fellow |
||
Hoay Beng Gooi (Life Fellow, IEEE) received the Ph.D. degree in electrical engineering from The Ohio State University, Columbus in 1985. He was Assistant Professor with Lafayette College, Easton, and Senior Engineer/Team Leader with EMPROS (now Siemens), Minneapolis. In 1991, he joined as a Senior Lecturer with the School of EEE, Nanyang Technological University (NTU), Singapore and was an Associate Professor (1999–2023). He was the Deputy Head of Power Engineering Division, Chairman of Fundamentals of Engineering Examination (Electrical) Sub-Committee for Professional Engineers Board Singapore, and Co-Director with Singapore Power Group-NTU Joint Lab. Dr Gooi was the recipient of the 2021 Outstanding Editor Award, IEEE Transactions on Power Systems. He is a member of Energy Technical Committee, Institution of Engineers Singapore, a Registered Professional Engineer in Pennsylvania, USA and Singapore, and an IEEE IES Distinguished Lecturer. Currently, he serves on the IEEE Access Editorial Board.
Speech title "Empowering the Future: Market Participation in Next-Gen Distribution Grids"
Abstract-Modern power systems are
transitioning from conventional to
renewable generation to address the
global energy crisis and reduce carbon
emissions. However, the intermittency
and variability of renewable energy
sources (RESs) like wind and solar can
introduce stability issues when
integrated into the utility grid. To
mitigate these challenges, a
hierarchical transactive energy
management system (HTEMS) with multiple
layers is proposed. HTEMS integrates
distributed energy resources (DERs),
including RESs, energy storage systems
(ESSs) and standby generators at
commercial and industrial sites. It
enhances the monitoring, control,
availability, reliability, and
efficiency of DERs. This presentation
will discuss the sizing of ESS, its
characteristics, and its role in grid
frequency regulation.
Model Predictive Control (MPC) uses
predicted information while considering
measurable disturbances and system
constraints. This control strategy
optimizes control actions based on a
pre-defined objective function. MPC can
achieve various control targets by
incorporating different variables into
the objective function. By employing a
hierarchical structure, MPC can improve
system stability and enhance community
market participation. In this work, MPC
is used to regulate ESS and eliminate
frequency deviations caused by power
mismatches between power between
generation and load. A microgrid is set
up to validate the MPC-based Load
Frequency Control (LFC). The performance
of the MPC-based LFC is compared with
that of the conventional
proportional-integral (PI)-based LFC.
The upper layer of HTEMS participates in
the wholesale electricity market, while
the lower layer supports a
blockchain-based peer-to-peer (P2P)
energy trading platform. This P2P
trading platform ensures fairness and
promotes a decentralized, efficient, and
secure way to trade energy, safeguarding
the privacy of the prosumer
participants.
Ronghai Qu,
Huazhong University of Science
and Technology, China
IEEE Fellow |
||
Ronghai Qu received the B.E.E. and M.S.E.E. degrees from Tsinghua University, Beijing, China, and the Ph.D. degree from the University of Wisconsin–Madison, Madison, WI, USA, in 1993, 1996, and 2002, respectively, all in electrical engineering.,In 1998, he joined the Wisconsin Electric Machines and Power Electronics Consortiums, University of Wisconsin–Madison, as a Research Assistant. He became a Senior Electrical Engineer at Northland, a Scott Fetzer Company, Watertown, NY, USA, in 2002. Since 2003, he has been with the General Electric Global Research Center, Niskayuna, NY, USA, as a Senior Electrical Engineer in the Electrical Machines and Drives Laboratory. He has authored more than 230 published technical papers and is the holder of more than 50 patents/patent applications. Since 2010, he has been a Professor with the Huazhong University of Science and Technology, Wuhan, China.,Dr. Qu is a Full Member of Sigma Xi. He was the recipient of several awards from the GE Global Research Center since 2003, including the Technical Achievement and Management Awards, and also the 2003 and 2005 Best Paper Awards, third prize, from the Electric Machines Committee of the IEEE Industry Applications Society at the 2002 and 2004 IAS Annual Meeting, respectively.
Josep M. Guerrero,
Aalborg University, Denmark
IEEE Fellow |
||
Josep M. Guerrero
(S’01-M’04-SM’08-FM’15) received the
B.Sc. degree in telecom engineering,
M.Sc. degree in electronics engineering,
and PhD degree from the Technical
University of Catalonia, Barcelona.
Since 2011, he has been a Full Professor
with AAU Energy, Aalborg University,
Denmark, where he is responsible for the
Microgrid Research Program. From 2019,
he became a Villum Investigator by the
Villum Fonden, which supports the Center
for Research on Microgrids (CROM) at
Aalborg University, being Prof. Guerrero
the founder and Director of the same
center (www.crom.energy.aau.dk). In
2020, he initiated neuroscience studies
and research. As a result, in 2022 he
received the M.Sc. degree in
Psychobiology and Cognitive Neuroscience
from the Institute of Neuroscience (INc)
at the Autonomous University of
Barcelona. He is currently pursuing an
M.Sc. degree in Sleep: Physiology and
Medicine at the University of Murcia,
Spain. In 2023 he joined the Technical
University of Catalonia as an ICREA
Research Professor.
His research interests are oriented to
different microgrid frameworks like
energy microgrids, hydrogen and biomass,
water micronets, biological systems,
seaport microgrids and electrical ships,
airport microgrids and more electrical
aircrafts, space microgrids and smart
medical systems. In these fields, he has
been researched distributed and
cyber-physical energy systems,
cybersecurity for microgrids and smart
grids, neuroscience-inspired artificial
intelligence for energy systems, machine
learning and applications using signal
processing, bioinformatics, bio-inspired
computing, and natural computing, and
quantum computing for complex energy
networks.
Prof. Guerrero is an Associate Editor
for several IEEE TRANSACTIONS. He has
published more than 1,000 journal papers
in the fields of microgrids and
renewable energy systems, which are
cited more than 100,000 times. During
ten consecutive years, from 2014 to
2023, he was awarded by Clarivate
Analytics as Highly Cited Researcher. In
2021, he received the IEEE Bimal Bose
Award for Industrial Electronics
Applications in Energy Systems, for his
pioneering contributions to renewable
energy based microgrids. In 2022, he
received the IEEE PES Douglas M.
Staszesky Distribution Automation Award,
for contributions to making the
hierarchical control of microgrid
systems a practical reality. In 2023, he
was the IEEE Modeling and Control
Technical Achievement Award recipient
for contributions to modelling and
control of power electronics based
microgrids.
Jun Xiao,
Tianjin University, China
IEEE Fellow |
||
Xiao Jun, Professor at Tianjin University and also serves as the Vice Chair of the IEEE PES Distributed Energy Resources and Distribution System Planning Subcommittee. He is recognized as a 'New Century Excellent Talent' by the Chinese Ministry of Education and a 'Elsevier Highly Cited Chinese Researcher' and 'World's Top 2% Scientist'. Prof. Xiao has been engaged in research on urban distribution system planning for a long time and has accomplished more than 400 distribution system planning projects in over 70 cities in China, such as Beijing and Shanghai. He is founder of Distribution System Security Region (DSSR) and Total Supply Capability (TSC) theory. He has also led 9 highest-class research projects sponsored by the Chinese central government, including the National Key Research and Development Program, the National Basic Research Program (973 Program), the National High Technology Research and Development (863 Program), and the National Natural Science Foundation of China (NSFC). Prof. Xiao has published over 130 SCI/EI papers, two monographs, over 30 Chinese patents, and one U.S. patent. He has received the China National Award of Science & Technology twice and also received the 'Distinguished Individual Contribution Award' by IEEE PES.
Speech title "Flexible Resource Security Regulating Capability for Distribution Systems"
Abstract-The integration of multiple flexible resources (FRs) in the distribution system calls for updated security analysis, especially considering FR power regulating. This paper proposes the security regulating capability (SRC) for distribution systems. First, SRC is defined as the feasible maximum power regulation amount at a given time within a certain area that meets the system security demand direction and can last longer than the security demand time. Several specific SRCs are proposed including the node SRC, feeder SRC, available SRC, and priority SRC. The node SRC uniformly quantifies the FR SRC of different FR types. The feeder SRC provides the FR SRC at the feeder level. Second, the calculation methods of the SRCs are presented. Third, the application of SRC is explored, in which a real-time security monitoring, warning, and emergency control method with SRC is proposed. Moreover, the scheme of integrating SRC-related functionalities into the DSCADA and DMS is presented. Finally, the proposed SRCs are verified in the case study. Compared with existing researches, SRC is suitable for security analysis while other metrics are not. SRC can provide better compatibility with diverse FRs and faster security emergency control.