Libao Shi

Libao Shi (SM’2009) received the Ph.D. degree from the department of Electrical Engineering, Chongqing University, Chongqing, China, in 2000. He is currently an associate professor of the Shenzhen International Graduate School, Tsinghua University, Shenzhen, China. His research interests include complementary and coordinated dispatch technologies with multi-energy source structure; risk assessment in cyber-physical power systems; power system- cascading failure and restoration control; computational intelligence and its application in smart grid; power system dynamics.

Sep. 1997 — Dec. 2000, Ph.D. in Electrical Power & Automation, Chongqing University, China

Sep. 1994 — Jul. 1997, M.S.E.E in Electrical Power & Automation, Chongqing University, China

Sep. 1990 — Jul. 1994, B.S.E.E. in Electrical Power & Automation, Chongqing University, China

Dec. 2019 - present, Associate Professor, Tsinghua Shenzhen International Graduate School, China

Apr. 2019 — Present, Associate Professor, Professor(Guangdong), Shenzhen International Graduate School, Tsinghua University.

Jul. 2006 — Mar. 2019, Associate Professor, Professor(Guangdong), Graduate School at Shenzhen, Tsinghua University.

Aug. 2004 — Jun. 2006, Visiting Scholar & Research Associate (holding the title of Project Manager) at Department of Electrical & Electronic Engineering, Hong Kong University.

Apr. 2004 — Jul. 2004, Visiting Scholar at School of Information Technology & Electrical Engineering of University of Queensland

Feb. 2002 — Feb. 2004, Postdoctor at Electrical Engineering Department of Shanghai Jiaotong University.

Mar. 2001 — Feb. 2002, Yantai Dongfang Electronic Information Co. Ltd.

IEEE Senior Member (M’04, SM’09)

CSEE Senior Member

Member of IEEE SBLC Asia-Pacific Working Group (M’17)

Journal of Electronics Editorial Member

Scientific Reports Editorial Member

Power system dynamics 70220052，Grad. Course（Ph. D. and master candidates）, SIGS

Optimization method in modern power systems 80220302, Grad. Course（Ph. D. and master candidates）, SIGS

Large-scale renewable generation integration operation and control 80220362, Grad. Course（Ph. D. and master candidates）, SIGS

Complementary and coordinated dispatch technologies with multi-energy source structure; Risk assessment in cyber-physical power systems; Power system- cascading failure and restoration control; Computational intelligence and its application in smart grid; Power system stability and control.

‘Study on modeling mechanism of Known-unknown-Unknowable uncertainties considering the interactions between large scale grid-connected wind power and power systems’, National Natural Science Foundation of China (51777103), PI

‘Research on key technologies for intelligent optimization decision-making analysis in modern power system restoration’, National Natural Science Foundation of China (50977051), PI

‘Intelligent decision-making paradigm for power system vulnerability analysis and restoration control’, Tsinghua University International Cooperation Project, PI

[1] Yulin Liu&, Libao Shi. A joint FDIA detection and localization scheme and experimental analysis based on adversarial anomaly transformer for power distribution system. IEEE Transactions on Industrial Informatics, 2025, 21(12): 9834- 9845.

[2] Haoxin Wang, Libao Shi. Convergence analysis for a class of continuous single-step meta-heuristic algorithms based on Harris chain. Swarm and Evolutionary Computation, 2025, 97: 102046

[3] Xuecheng Liu; Haoxin Wang; Libao Shi. A three-stage dynamic game strategy incorporating wind generation uncertainty against FDI attack of wind farm reactive power compensation, IEEE Transactions on Power Systems, 2025, 40(2): 1504-1517

[4] Yu Song, Libao Shi. Dynamic economic dispatch with CHP and wind power considering different time scales. IEEE Transactions on Industry Applications, 2022, 58(5): 5734-5746.

[5] 周智行，石立宝. 考虑风电不确定性及系统调频作用的电网连锁故障风险评估.中国电机工程学报，2021 41(10):3305-3316

[6] Qiangsheng Dai, Libao Shi, Yixin Ni. A sponsor incentive attack scheme for feeder automation systems. IEEE Trans on Smart Grid, 2020, 11(2): 1440-1452.

[7] Qiangsheng Dai, Libao Shi, Yixin Ni. Risk assessment for cyberattack in active distribution systems considering the role of feeder automation. IEEE Trans on Power Systems, 2019 34(4): 3230-3240.

[8] Luo Jinqing, Shi Libao, Ni Yixin. Uncertain power flow analysis based on evidence theory and affine arithmetic. IEEE Transactions on Power Systems, 2018, 33(1): 1113-1115.

[9] L. B. Shi, Zhen X. Weng, Liang Z. Yao, and Y. X. Ni. An analytical solution for wind farm power output. IEEE Trans on Power Systems, 2014, 29(6):3122-3123.

[10] Libao Shi, H. L. Ding, and Zhao Xu. Determination of weight coefficient for power system restoration. IEEE Trans on Power Systems. 2012, 27(2):1141-1142.

Libao Shi, Zhao Yang Dong , Computational Intelligence in Power Systems, Research Signpost, India, 2009 ISBN: 978-81-308-0366-1

2026 IEEE PES International Meeting Best Poster Award

2018、2019 IEEE PES General Meeting Best Poster Paper

2025 The 3rd Energy Electronics Industry Innovation Competition ‘domestic solver technology’, The Third Prize

2024 The 2nd Energy Electronics Industry Innovation Competition ‘domestic solver technology’, The Second Prize