Tang Yi

Biography：

Yi Tang is a full Professor and doctoral supervisor at Southeast University, and Director of the Institute of Power System Automation. He serves as the Chairman of the IEEE PES Nanjing Chapter.

Prof. Dr. Yi Tang’s research interests include power system security & stability analysis and control, cyber-physical power systems, and artificial intelligence applied in power systems. He has served as the Principal Investigator for more than 10 programs funded by the National Natural Science Foundation of China and the National Key Research and Development Program. He was approved as the project leader of more than 100 programs supported by the State Grid and provincial-level scientific programs. He has published over 190 SCI/EI-indexed papers and holds more than 140 authorized national invention patents.

Prof. Dr. Yi Tang serves as an Editorial Board Member of Automation of Electric Power Systems, Power System Technology, Protection and Control of Modern Power Systems, and some other international journals. In addition, he serves as a member of the Special Committee on Power System of China Society for Electrical Engineering(CSEE), a member of the Special Committee on Artificial Intelligence and Electrical Applications of China Electrotechnical Society(CES), a member of the Special Committee on Smart Energy Systems of Chinese Association for Artificial Intelligence, a member of NEA Technical Committee 32 on Standardization of Shore Power Facilities, the Chairman of Jiangsu Provincial Electromagnetic Technical Committee for Metrology, and member of international and domestic professional academic organizations.

Education：

Visiting Scholar(2009-2010), Institute of Advanced Technology, Virginia Tech, America

PhD (2002-2006), School of Electrical Engineering, Harbin Institute of Technology, China

BEng (1996-2000) & MEng (2000-2002), School of Electrical Engineering, Harbin Institute of Technology, China

Work Experience：

2020.06-present, Professor, School of Electrical Engineering, Southeast University

2008.04-2019.06, Associate Professor, School of Electrical Engineering, Southeast University

2009.03-2010.03, Visiting Scholar, Virginia Tech University, USA

2006.04-2008.04, School of Electrical Engineering, Southeast University, Lecturer

Research：

Selected Academic Funds:

1. Assessment, Prevention and Control, Recovery Technology and Demonstration for High-Proportion Power Outage Losses of New Energy Power Grids under Extreme Events,National Major Science and Technology Project, 2026

2. A demonstration project for the safe and efficient operation of provincial power transmission systems under the connection of multiple types of grid-forming equipment,National Major Science and Technology Project, 2025

3. Key Technologies and Systems for Online Security and Stability Defense of Power Systems Facing Multi-dimensional Uncertainties,National Major Science and Technology Project, 2024

4. Research on Knowledge Discovery and Application of New Power System Operation Mode Based on Stable Situation Deduction,National Natural Science Foundation of China, 2023

[5] Smart Grid Analysis and Control Technology Based on Artificial Intelligence,National Natural Science Foundation of China, 2022

[6] Frontier Basic Theories and Methods for Security Defense of High-Dimensional Uncertain Power Systems,Project of Jiangsu Provincial Department of Science and Technology, 2022

[7] xxx Technology of Power Cyber-Physical Systems,xxx Program, 2020

[8] Theory and Method of Transient Frequency Situation Prediction for Power Systems Based on Physical-Data Fusion,National Natural Science Foundation of China, 2019

[9] High-Performance Analysis and Situation Awareness Technology for Interconnected Large Power Grids,National Key Special Project, 2018

[10] Basic Theories and Methods for Analysis and Control of Cyber-Physical Systems in Power Grids,National Key Special Project, 2017

[11] Development and Key Technology Verification of the Comprehensive Simulation Platform for Power Grid CPS,National Key Research and Development Program, 2017

[12] Theoretical and Demonstration Research on Wind Farms as Black Start Power Sources for Large Power Grids,Project of Jiangsu Provincial Department of Science and Technology, 2016

[13] Load Prevention-Emergency Control Theory and Method for Power Cyber-Physical Systems,National Natural Science Foundation of China, 2016

[14] Theory and Technology of Intermittent Renewable Energy Prediction Based on Trajectory Features and Pattern Classification,National Natural Science Foundation of China, 2015

Publications：       

Monograph:

1. Tang Y and Wang Y. Smart grid optimization theory and application [M] Nanjing: Southeast University Press, 2022.

2. Wang Q, Li F, andTang Y. Application of Data and Knowledge Joint Drive Method in Power System [M] Nanjing: Southeast University Press, 2023.

Representative Papers in the Recent Five Years:

1. Xie Z,Tang Y. Evaluating the minimum inertia of power systems with consideration for wind power in frequency regulation[J].International Journal of Electrical Power and Energy Systems,2026,175111640-111640.

2. Hu J,Tang Y, Wang Q, et al. High Spatiotemporal Resolution State Estimation for Online Dynamic Security Assessment: a Review and Methodology[J/OL].Proceedings of the CSEE,1-22[2025-12-12].

3. Yuan Q andTang Y. Multi-time Scale Decarbonization Coordination Strategy of Electric Vehicle Fleets Considering Transportation and Electricity Coupling[J].Power System Technology,2024,48(12):4969-4979.

4. Tang Y and Wang H.A Fast Nataf Transformation Method for Power System Uncertainty Analysis With High-dimensional Uncertain Variables[J].Power System Technology,2025,49(07):2671-2679.

5. Yu Q andTang Y. Mechanism Analysis of Power Oscillation Caused by Disharmony of Voltage Source Controlled-units at Both Sides of Transmission Line[J]. Proceedings of the CSEE,2024,44(15):5908-5921.

6. Yu Q ,Tang Y. Characteristic Analysis of Power Oscillations Caused by Disharmony Among Voltage-source-controlled Units in Three-terminal Local Power Grid[J].Journal of Modern Power Systems and Clean Energy,2024,12(04):1295-1308.

7. Xie Z andTang Y. Evaluation of Minimum Inertia Requirement of Power System Considering Source-Load Inertia Characteristics[J].Automation of Electric Power Systems,2024,48(10):66-77.

8. Zheng C andTang Y. Coordinated Control Method for Commutation Failure Prevention Considering Reactive Power Interaction Among Multiple HVDC Systems[J].Automation of Electric Power Systems,2023,47(04):102-110.

9. Hu J,Tang Y, Li F, et al. Performance Analysis on Parallel Mode of Data-Physical Fusion Model in Power System[J].Automation of Electric Power Systems,2022,46(01):15-24.

10. Yan C,Tang Y, Dai J, et al. Uncertainty modeling of wind power frequency regulation potential considering distributed characteristics of forecast errors[J].Protection and Control of Modern Power Systems,2021,(03):1-13.

Representative Authorized Chinese Patents in the Recent Five Years:

[1] Gao C andTang Y.A system and method for identifying the authenticity of power grid faults based on the timing sequence of protection action events.Chinese Patent of Invention, Publication No:ZL202411935861.9,2025.11.04

[2]Tang Y, Fang Z and Hu J.An optimization configuration method for distributed photovoltaic micro-meteorological monitoring devices considering spatio-temporal characteristics.Chinese Patent of Invention, Publication No:ZL202411378564.9,
2025.11.04

[3] Guan J,Tang Y, Wang H, et al.A high-dimensional uncertainty aggregation modeling method for power systems based on Gaussian mixture models.Chinese Patent of Invention, Publication No:ZL202510081818.9,2025.10.28

[4] Yan Y, Si Q and Tang Y.A precise load shedding system and method with micro-loads as controllable resources.Chinese Patent of Invention, Publication No:ZL202311144933.3,2025.08.05

[5] Yan Y andTang Y.A coordinated optimization control method for active power of photovoltaic power station inverters.Chinese Patent of Invention, Publication No:ZL202411200233.6,2025.06.24

[6] Li J,Tang Y, Gao S, et al.A building cell energy consumption analysis method considering micro-meteorology.Chinese Patent of Invention, Publication No:ZL202411530361.7,2025.06.13

[7] Xie Z andTang Y.A quantitative assessment method for critical inertia demand considering the inertia support capability of generation and load.Chinese Patent of Invention, Publication No:ZL202410154249.1,2024.11.15

[8] Ye Y,Tang Y, Hu J, et al.A recommendation method and system for electricity consumption perspective based on graph convolutional neural networks.Chinese Patent of Invention, Publication No:ZL202111491511.4,2024.07.12

[9] Yuan Q,Tang Y, Wang Q, et al.A weight quantification method for electric vehicle charging decisions.Chinese Patent of Invention, Publication No:ZL202011346880.X,2024.04.05

[10] Yuan Q,Tang Y and Wang Q.A method for predicting electric vehicle charging loads in road-electricity coupled networks.Chinese Patent of Invention, Publication No:ZL202010052896.3,2024.02.06

Teaching：

Undergraduate course: Transient Analysis of Power Systems

Master's courses: Smart Grid

Doctoral courses: Big Grid Technology