Special Session 5
Intelligent Control and Management of Modern Power and Energy Systems
Due
to the rapid development of information and
communication technology and artificial
intelligence, as well as the power and energy
transformation, the control and management of modern
power and energy systems have been changed. A great
deal of new technologies, control algorithms,
models, problems, and business modes emerge, which
requires intelligence in the systems.
This session aims to focus on the intelligent
control and management of modern power and energy
systems. The submissions are encouraged to focus on
but not limited to intelligent control and
management algorithms, artificial intelligence, big
data analytics, cloud computing, internet of things,
mobile internet, demand response, and distributed
control with their application to smart grid, energy
internet, electrical internet of things, and other
multi-energy systems.
A brief list of potential submission topics is
shown below:
-
Intelligent control and management algorithms
for modern power and energy systems
-
Artificial intelligence algorithms for modern
power and energy systems
-
Big data analytics for modern power and energy
systems
-
Cloud computing for modern power and energy
systems
-
Internet of things for modern power and energy
systems
-
Mobile internet for modern power and energy
systems
-
Distributed control for modern power and energy
systems
-
Security and economy analysis for modern power
and energy systems
-
Cyber security for modern power and energy
systems
Organizer
Organizer:
Dr. Bowen Zhou, Northeastern University,
China
Co-Organizer:
Dr. Mingjian Cui, The University of
Tennessee, USA
Biography:
Bowen Zhou received the BSc and MSc degrees
from Wuhan University, Wuhan, China, and the
PhD degree from Queen’s University Belfast,
Belfast, UK, all in electrical engineering.
He is currently a lecturer with Intelligent
Electrical Science and Technology Institute,
Northeastern University. His research
interests include power system operation,
stability and control, electric vehicles,
vehicle to grid, energy storage, demand
response, renewable energy, and energy
internet. He is the PI and Co-I of more than
20 government and industry sponsored
projects. He has published more than 60 SCI
or EI indexed papers. He is a member of IEEE
PES China Transformers Committee, IEEE PES
China Electric Vehicle Committee, and IEEE
PES China PSOPE Committee. He is currently a
member of IEEE, IET, IAENG, CSEE, CAA, and
CCF. He is also a committee member of
several international conferences and an
active reviewer of some peer reviewed
journals and international conferences.
Biography:
Mingjian Cui received the BSc and PhD
degrees from Wuhan University, Wuhan, Hubei,
China, all in Electrical Engineering and
Automation, in 2010 and 2015, respectively.
Currently, he is a Research Scientist at The
University of Tennessee (UTK). From 2019 to
2020, he was a Research Assistant Professor
at Southern Methodist University (SMU). He
was also a Visiting Scholar from 2014 to
2015 in the Transmission and Grid
Integration Group at the National Renewable
Energy Laboratory (NREL), Golden, Colorado,
USA. His research interests include
renewable energy, smart grid, machine
learning, cybersecurity, and load modeling.
He has authored/coauthored over 60
peer-reviewed publications. He serves as
Associate Editors for the journals of IET
SMART GRID and IEEE ACCESS in 2019. He
serves as Editors for the journals of IEEE
POWER ENGINEERING LETTERS and IEEE OPEN
ACCESS JOURNAL OF POWER AND ENERGY (OAJPE)
in 2020. He is the Best Reviewer of the IEEE
TRANSACTIONS ON SMART GRID for 2018 and the
Outstanding Reviewer of the IEEE
TRANSACTIONS ON SUSTAINABLE ENERGY for 2019.
He is also a Senior Member of IEEE.