Zhang Junbo

Time:2019-12-17

Vision:

With knowledge and tools from modern energy systems, artificial intelligent, internet of things, big data, and cloud computing, to create a better future that everyone can enjoy benefit from the efficient, clean, low carbon and digitalized energy system.

Academic Experience:

Since 2018, Vice dean of Center for Smart Energy Engineering

Since 2018, Professor

2018 – 2019, Visitor in CSDGC, Stanford University, US

Since 2017, Dean Assistant, School of Electrical Power, South China University of Technology

2016-2018, Associate Professor

2015-2016, Assistant Professor

2013-2015, Postdoctoral Fellow, Tsinghua University

2008-2013, Ph.D. in Electrical Engineering, Tsinghua University

2009-2010, Visitor in Electrical Engineering, Hong Kong Polytechnic University

2004-2008, Bachelor of Electrical Engineering, Tsinghua University.

Research Interests:

1. Artificial Intelligent in Complex System Operation & Decision Making

Knowledge graph, knowledge modeling and representation, knowledge inference, robotics and machine learning for operation, control, decision making and management in large-scale multi-voltage-layer power systems. A very hot and challenging area.

2. Knowledge-based Expert Systems with Distributed Cloud Computing

Large-scale expert systems are developed with micro-service architecture and modern software engineering techniques, resulting in milliseconds to seconds decision making in megacity power grids. Each service can be driven by model, data or knowledge inference, with computing carried out in distributed/centralized clouds. Computing management and efficiency enhancement are achieved via cloud visualization and management.

3. High Performance Parallel Computing and Power Digital Twin Simulation

A digital twin for digitalized megacity power grids at 20-millisecond to year time-scale is being developed using multi-agent and micro-service architecture. High performance parallel computing techniques are employed with service transition time less than 2-millisecond. Developed software is deployed in cloud and is useful in grid planning, real-time operation, real-time & off-line analysis, and real-time control.

4. Leadership training for future power energy primitive ecology

To train students who are willing and capable to lead the power & energy transition in the future, and to train students who are willing to be leaders and to start-up.

Projects:

1. Research on the electricity development strategy for Guangdong, Hong Kong and Macau Greater Bay Area

2. Data based modeling and intelligent decisions in power system dynamic operation and control

3. Robotics in grid-dispatching – key techniques

4. Data based modeling and intelligent decisions in power system dynamic operation and control

5. Intelligent dispatcher in distribution systems

6. Theory to the open complex power system dynamic stability analysis and control

7. Regularization based anti-collinearity online sensitivity identification and its applications in power systems

8. Mutation of electrical device popularized power system inertia and its identification based on micro-perturbation method

9. “Internet + smart energy systems”, operation programs and developing strategies

10. Optimization of energy industry under carbon constraints - optimization of the use of coal under carbon constraints

11. Dominant model identification in power systems with micro-perturbation method

12. Identification and Control to Power System Dynamic Stability Based on WAMS

13. Power System Dynamic Model Identification and Robust-Adaptive Damping Control Based on Ambient Signals

14. WAMS based protection and security control in complex power networks

Honors and Main Achievements:

Outstanding Instructor for Graduation Projects, SCUT, 2019

Outstanding Instructor for Graduation Projects, SCUT, 2018

Senior Member, IEEE, 2018

Outstanding Young Scholar in Guangdong Province, China, 2018

Outstanding Reviewer of IEEE Transactions on Power Systems, 2017

Best Conference Paper, IEEE PES General Meeting, 2017

Best Conference Paper, IEEE PES General Meeting, 2016

Outstanding Ph.D. Graduates, Beijing, 2013

Outstanding B.S. Graduates, Tsinghua University, 2008

Published more than 30 papers in SCI/EI, including 17 IEEE Transactions, and co-authored 1 book.

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