Biography: Chaohui ZHAO, doctor/
Professor, doctoral supervisor. In 2008, he graduated from the
automation School of Nanjing University of Aeronautics and
Astronautics with a doctor's degree in engineering. From 2013 to
2014, he was a senior visiting scholar at The Florida Institute of
technology. Currently, he is the vice chairman of the special
committee of micro and special motors of the Chinese Institute of
electrical technology, the member of small and medium-sized
electrical machinery special committee of China Electrotechnical
Society, The vice president of Shanghai Motor Industry Association,
Editorial board member of " Electric Machines and Control
Application", " Journal of Shanghai Dianji University" and other
journals.
The main research direction is motor and electric appliance, power
electronics and power transmission. In recent years, he has presided
over many national scientific research projects, published more than
10 books, published more than 130 papers, authorized more than 20
patents, won 3 national and provincial teaching achievements, and
won 4 provincial and ministerial science and technology awards. It
has successively won the honorary titles of "top ten outstanding
young people in Jinshui District of Zhengzhou", "national Baosteel
excellent teacher", " Famous teachers in Shanghai Universities " and
so on.
Speech title "Research on The Related Technology of ES"
Abstract-Electric Spring (ES) is used to solve
the instability problem caused by new energy grid connection. For
more than ten years, the electric spring has developed rapidly, but
there are also some blind spots that have been ignored. for example,
During the use of electric spring, the fixed position of critical
load and non-critical load has certain influence on the actual use.
The topology of the electric spring developed for a single
electrical appliance will hinder the widespread promotion of this
device. Accurate working feasible region of electric spring is
helpful for efficient use of electric spring.
In order to solve the problem of location of critical and
non-critical loads, the switchable smart load (SSL) is proposed by
our team. The control strategy of ES with switchable smart load
designed can stabilize the voltage of the load critical load in a
period of time, and stabilize the voltage of non-critical load in
another period of time. It is more flexible compared with the
control method that can only stabilize the voltage of the critical
load.
In order to solve the second problem, the generalized electric
spring(G-ES) is proposed by our team. By stabilizing the voltage of
the critical section feeder, it can indirectly stabilize the crucial
load connected to the critical section feeder, and then solve the
problem of renewable energy introduced into the grid when there is a
distance between critical loads and non-critical loads in space.
In order to improve the use efficiency of electric spring, we give
eight working modes of the electric spring. Many of functions that
ES can achieve are based on its rich steady-state operation modes.
In practical application, the division of ES steady-state operation
mode is helpful to analyze the power exchange between ES and power
grid.
Through relevant theoretical analysis and experimental verification,
good results have been achieved.
Biography: Jun Liu, received his B.S., and doctorate degree all in Electrical
Engineering from Xi’an Jiaotong University, Xi’an, China, in 2004,
2012 respectively. Currently he is a Professor at Department of
Electric Power Engineering, Xi’an Jiaotong University; also a
researcher in the Smart Grid Smart Grid Key Laboratory of Shaanxi
Province, State Key Laboratory of Electrical Insulation and Power
Equipments, Xi'an Jiaotong University. From Oct. 2008 to Aug. 2010,
he was a visiting scholar at Department of Electrical and Computer
Engineering in Texas A&M University, College Station, Texas, US. He
serves as associate editors for jounals of Frontiers in Energy
Research, Energies, etc.
His interest is with power system stability, renewable energy and EV
integration, power system operation and control, smart grids,
integrated energy systems, machine learning and AI applications in
power and energy systems.
Speech title "Data-Driven Static Security
Risk Assessment of Modern Power Systems"
Abstract-The increasingly complex power grid structure and the
volatility caused by the high proportion of renewable energy have
brought great challenges to the traditional static security
assessment of power grids. To solve this problem, a multi-source
data-driven power grid static security risk assessment method is
proposed in this paper. Firstly, the historical operation data of
the power grid, including the grid structure of the system, load
power, generator power and weather information, are used to build a
multi-source data set. Then, a static security assessment model is
constructed using long-term and short-term memory neural network and
deep neural networks, and the multi-source data sets are used for
off-line training. According to the output results of the assessment
model, a three-level static security risk assessment index system is
then developed. Finally, the proposed method is tested through a
provincial 500kV power grid. The example results show that the
method proposed in this paper can effectively realize the assessment
of power grid static security risks, which can be used to assist the
system operators for future intelligent dispatch and control."
Full Paper/Abstract
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