Short Bio

Dr. Yushuai Li is an assistant professor in Department of Computer Science at Aalborg University. He has published more than 50 papers in prestigious journals and conferences. Two of them are “Hot Papers and five of them are "Highly Cited Papers". He has an h-index of 18 and 1900+ citations according to Google scholar. As the first author, he received the Best Paper Awards from Journal of Modern Power Systems and Clean Energy (MPCE), and 2023 International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE). He received the Excellent Young Expert Award from MPCE (2023), the CAA Second Prize of National Natural Science (2022), the CAA First Prize of National Natural Science (2023). He is an associated editor of IEEE Systems, Man, and Cybernetics Magazine, and MPCE. He served as the Student Video / PHD Thesis Competition Chair for IEEE SmartGridComm 2024, Section Chair for SPIES 2022 and IEEE EI2 2022, and Track Chair for ISIE 2024.

Research Interests

My primary research is cooperative and digital operation for integrated energy and transportation systems. Specifically, my current research interests are as follows:

• Distributed optimization
• Machine learning
• Digital twin
• Energy Internet (integrated energy and transportation systems)
• Autonomous driving

Summary of Award and Scientific Contributions

• The Best Paper Award from Journal of Modern Power Systems and Clean Energy (MPCE), 2021
• The Best Paper Award from 2023 International Conference on Cyber-energy Systems and Intelligent Energies (ICCSIE), 2023
• The Most Popular Academic Works Award from CCDC, 2021
• The Excellent Young Expert Award from MPCE, 2023
• CAA Second Prize of National Natural Science, Award, 2022
• CAA First Prize of National Natural Science, 2023
• The Star Reviewer Award from IEEE Transactions on Energy Conversion, 2023
• MPCE Excellent Reviewer Award, 2022 &2023
• 2000+ citations according to Google scholar
• 2 ESI “Hot papers” and 6 ESI “Highly cited papers”

Selected Publications

google scholar entry

[Primary/Corresponding Author]  

1. S. Liu, Y. Li*, and T. Li, et al., “FedAGL: A Communication-Efficient Federated Vehicular Network," IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3349655, 2024.
2. R. Ren, Y. Li*, Q. Sun, S. Zhang, D. W. Gao and S. Maharjan, “Switched Surplus-Based Distributed Security Dispatch for Smart Grid With Persistent Packet Loss,” IEEE Internet of Things Journal, doi: 10.1109/JIOT.2023.3311758,2023.
3. X. Zhang, Y. Li*, and T. Li, et al., “Digital Twin Empowered PV Power Prediction,” Journal of Modern Power Systems and Clean Energy, accepted, 2023.
4. Y. Li, B. Huang, J. Dai, D. W. Gao, Q. Sun and H. Zhang, “Distributed Resilient Initialization-Free Jacobi Descent Algorithm for Constrained Optimization Against DoS Attacks,"

   IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2023.3278865, 2023.

5. Y. Li and Y. Zhang, “Digital twin for industrial internet,”

   Fundamental Research, 2023.

6. Y. Li, R, Ren, B. Huang, et al., “Distributed hybrid-triggering-based secure dispatch approach for smart grid against DoS attacks,”

   IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2022.3228780, 2022.

7. Y. Li, T. Li, and H. Zhang, et. al, “Distributed resilient double-gradient-descent based energy management strategy for multi-energy system under dos attacks,”

   IEEE Transactions on Network Science and Engineering, vol. 9, no. 4, pp. 2301-2316, 2022. [Paper]

8. Y. Li, J. Wang, and R. Wang, et al., "A Switched Newton–Raphson-Based Distributed Energy Management Algorithm for Multienergy System Under Persistent DoS Attacks,"

   IEEE Transactions on Automation Science and Engineering, vol. 19, no. 4, pp. 2985-2997, 2022.

9. B. Huang, Y. Li*, F. Zhan, Q. Sun and H. Zhang, “A distributed robust economic dispatch strategy for integrated energy system considering cyber-attacks,”

   IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 880-890, 2022.

10. L. Yang, Q. Sun, N. Zhang and Y. Li*, “Indirect Multi-energy Transactions of Energy Internet with Deep Reinforcement Learning Approach,”

    IEEE Transactions on Power Systems, doi: 10.1109/TPWRS.2022.3142969, 2022.

11. R. Ren, Y. Li*, and Q. Sun, et al., "Distributed neurodynamic-based economic dispatch strategy for we-energy."

    Neurocomputing vol. 511, pp. 91-104, 2022.

12. Y. Li, D. W. Gao, and W. Gao, et al., “A Distributed Double-Newton Descent Algorithm for Cooperative Energy Management of Multiple Energy Bodies in Energy Internet,”

    IEEE Transactions on Industrial Informatics, vol. 17, no. 9, pp. 5993-6003, 2021.

13. Y. Li, D. W. Gao, H. Zhang, et al., “Double-mode energy management for multi-energy system via distributed dynamic event-triggered Newton-Raphson algorithm,”

    IEEE Transactions on Smart Grid, vol. 11, no. 6, pp. 5339-5356, 2020.

14. Y. Li, H. Zhang, and X. Liang, et al., “Event-triggered based distributed cooperative energy management for multienergy systems,”

    IEEE Transactions on Industrial Informatics, vol. 15, no. 14, pp. 2008-2022, 2019.

15. Y. Li, W. Gao, and W. Yan, et al., “Data-Driven Optimal Control Strategy for Virtual Synchronous Generator via Deep Reinforcement Learning Approach,”

    Journal of Modern Power Systems and Clean Energy, vol. 9, no. 4, pp. 919-929, 2021.

16. Y. Li, H. Zhang, and B. Huang, et al., “A distributed Newton-Raphson-based coordination algorithm for multi-agent optimization with discrete-time communication,”

    Neural Computing & Applications, vol. 32, pp. 4649–4663, 2020.

17. Y. Li, B. Huang, and H. Zhang, “Synchronization analysis for coupled static neural networks with stochastic disturbance and interval time-varying delay,”

    Neural Computing & Applications, vol. 30, no. 4, pp. 1123–1132. 2018.

18. Y. Li, H. Zhang, and J. Han, et al., “Distributed multi-agent optimization via event-triggered based continuous-time Newton-Raphson algorithm,”

    Neurocomputing, vol. 275, no. 31, pp. 1416-1425, 2018.

[Co-Author]  

1. Zhou J, Guo Y, Yang L, J. Shi, Y. Zhang, Y. Li, Q. Guo, H. Sun, “A review on frequency management for low-inertia power systems: From inertia and fast frequency response perspectives,” Electric Power Systems Research, vol. 228, pp. 110095, 2024.
2. X. Wang, Y. Zhou, B. Luo, Y. Li and T. Huang, "Event-Triggered Neuro-Adaptive Fixed-Time Control for Nonlinear Switched and Constrained Systems: An Initial Condition-Independent Method," IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2023.3342070, 2024.
3. Z. Liu, B. Huang, Y. Li, et al, "Pricing Game and Blockchain for Electricity Data Trading in Low-Carbon Smart Energy Systems," in IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2023.3345450, 2024.
4. Y. Huang, Q. Sun, Y. Li., et al, “Damping technique empowered robust energy flow calculation for integrated energy systems,"

   Applied Energy, vol. 343, pp. 121168, 2023.

5. R. Wang, W. Li, Q. Sun, and Y. Li, et al, “Fully distributed dynamic edge-event-triggered current sharing control strategy for multi-bus dc microgrids with power coupling,"

   IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2022.3188352, 2022.

6. Z. Ming, H. Zhang, Y. Li and Y. Liang, "Mixed $H_2/H_\infty$ Control for Nonlinear Closed-Loop Stackelberg Games With Application to Power Systems,"

   IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2022.3216733, 2022.

7. Y. Huang, Q. Sun, and Y. Li, et al., “Adaptive-discretization based dynamic optimal energy flow for the heat-electricity integrated energy systems with hybrid ac/dc power sources,”

   IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2022.3188277, 2022.

8. Y. Huang, Q. Sun, and Y. Li, et al., “A multi-rate dynamic energy flow analysis method for integrated electricity-gas-heat system with different time-scale,”

   IEEE Transactions on Power Delivery, doi: 10.1109/TPWRD.2022.3186762, 2022.

9. N. Zhang, Q. Sun, L. Yang and Y. Li, “Event-triggered distributed hybrid control scheme for integrated energy system,”

   IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 835-846, 2022.

10. R. Wang, Q. Sun, W. Hu, and Y. Li, et al, “SoC-based droop coefficients stability region analysis of the battery for stand-alone supply systems with constant power loads,”

    IEEE Transactions on Power Electronics, vol. 36, no. 7, pp. 7866-7879, 2021.

11. N. Zhang, L. Yang, Q. Sun, and Y. Li, “Matrix modelling and optimisation calculation method for large‐scale integrated We‐Energy”,

    IET Energy Systems Integration, vol. 4, pp. 380-392, 2022.

12. B Huang, Y. Wang, C. Yang, and Y. Li, et al,. “A neurodynamic-based distributed energy management approach for integrated local energy systems,”

    International Journal of Electrical Power & Energy Systems, vol. 128, pp.106737, 2021.

13. J. Zhou, Y. Xu, H. Sun, and Y. Li, et al., “Distributed power management for networked ac/dc microgrids with unbalanced microgrids,”

    IEEE Transactions on Industrial Informatics, vol. 16, no. 3, pp. 1655-1667, 2020.

14. Q. Sun, R. Fan, and Y. Li. et al., “A distributed double-consensus algorithm for residential we-energy,”

    IEEE Transactions on Industrial Informatics, vol. 15, no. 8, pp. 4830-4842, 2019.

15. B. Huang, L. Liu, H. Zhang, Y. Li, et al., “Distributed optimal economic dispatch for microgrids considering communication delays,”

    IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 49, no. 8, pp. 1634-1642, 2019.

16. R. Wang, Q. Sun, and Y. Li, et al., “The steady-state stability assessment of the AC-busbar plug-in electric vehicle charging station with photovoltaic”,

    Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 884-894, 2020.

17. H. Zhang, Y. Li, and D. Gao, et al., “Distributed optimal energy management for energy internet,”

    IEEE Transactions on Industrial Informatics, vo. 13, no. 6, pp. 3081-3097, 2017.

18. Y.Huang. Q. Sun, and Y. Li, et al., “ Damping technique empowered robust energy flow calculation for integrated energy systems,”

    Applied Energy, vol. 343, pp. 121168, 2023.

19. B. Huang, L. Liu, and Y. Li, et al., “Distributed optimal energy management for microgrids in the presence of time-varying communication delays,”

    IEEE Access, vol. 7, pp. 83702-83712, 2019.

20. B. Huang, L. Liu, and Y. Li, et al., “Distributed optimization for economic dispatch in microgrid with time delays and power losses,”

    The 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 814-818, 2018.

21. Q. Sun, Y. Zhang, and Y. Li, et al., “The identification of minimum control node set of multi — Energy system,”

    2017 Chinese Automation Congress (CAC), pp. 4610-4615, 2017.

22. B. Huang, Y. Li, and H. Zhang, et al., “Distributed optimal co-multi-microgrids energy management for energy internet,”

    IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 4, pp. 357-364, 2016.

Selected Patents

• H. Zhang, Q. Sun, B. Jiang, J. Yang, X. Liu, D. Ma, Z. Liu,Z. Wang,Z. He,F. Teng,J. Gu, X. Li, J. Liang,Y. Li, and J. Cui, “A battery storage device for distributed hybrid powered smart grid system and control method thereof,” European Patent, No. EP2645522B1, 2015-01-26.
• Y. Li, et al., “Adaptive control device and method for virtual synchronous generator under network attack,” Chinese Patent, No. 202210466755.5, 2022-04-30.
• Y. Li, et al., “A distributed energy information system energy management device and method,” China Patent, Chinese Patent,No. 202210466754.0, 2022-07-27.

Project Experience

• EU H2020 (Marie Skłodowska-Curie Individual Fellowships): Smart Planning, Operation and Control for Energy Internet, Principal Investigator, 01/2022-01/2024. Link to
• The U.S. National Science Foundation: Distributed Control, Optimization and State Estimation of Networked Microgrids with Enhanced Stability, Participant, No.1711951, 01/2018-01/2020.
• The National Natural Science Foundation of China: Distributed Energy-Saving Optimization Method for Energy Internet with Multi-Energy Coupling Features, Participant, No. 61603085, 01/2017-12/2019.
• The National Natural Science Foundation of China: Cyber-Physical Fault Diagnosis Method for Distributed Multi-Energy System, Participant, No.61773109, 01/2018-12/2021.

Professional Services

[Membership]

• IEEE Senior Member, IEEE IES Member, IEEE PES Member, and IEEE Young Professionals

[Session/Track/Workshop Chair]

• The 4th IEEE Conference on Energy Internet and Energy System Integration, 2020.
• The 4th International Conference on Smart Power & Internet Energy Systems, Topic: Modeling and control of distributed energy sources, 2022.
• The 15th IEEE SmartGridComm, Topic: Digital Twin for Smart Grid, 2024.
• The 33th Industrial Symposium on Industrial Electronics (ISIE) , Topic: Signal and Image Processing and Computational Intelligence, 2024.

[Student Video / PHD Thesis Competition Chair]

• The 15th IEEE International Conference on Smart Grid Communications (SmartGridComm), 2024

[Associated Editor]

• IEEE Systems, Man, and Cybernetics Magazine, 2024-now
• Journal of Modern Power Systems and Clean Energ, 2024-now

[Guest Editor]

• IET Electronics Letters, topic: ``Distributed optimization and machine learning for resilient energy systems'', 01/11/2023-01/08/2024

[Selected Journal Reviewers]

• IEEE Transactions on Industrial Informatics
• IEEE Transactions on Smart Grid
• IEEE Transactions on Cybernetics
• IEEE Transactions on Systems, Man, and Cybernetics
• IEEE Transactions on Network Science and Engineering
• IEEE Transactions on Intelligent Transportation Systems

[PC Member]

• The 38th AAAI Conference on Artificial Intelligence (AAAI), 2024
• International Annual Conference on Complex Systems and Intelligent Science, 2023
• IEEE/ACM International Symposium on Quality of Service, 2022
• The 4th International Conference on Smart Power & Internet Energy Systems, 2022.
• The 33th Chinese Control and Decision Conference, 2021

Teaching

[Courses]

• Guest Lecturer, Deep Reinforcement Learning for Demand Response and Energy Management, University of Oslo, fall 2023
• Lecturer, Energy Internet and Smart Energy, master level, Spring 2021

[Supervisors]

• REU Project Supervisor (U.S.)

  1. Abigail Friedman, Research topic “Optimal Design of a Hybrid Electric Vehicle Charging Station”, Fall 2019

  2. Fletcher Ouren, Research topic “Solar Power Output Prediction with Recurrent Neural Network”, Fall 2019

• Undergraduate graduation Supervisor

  1. Mingbo Li, Thesis topic "Research on Multi-mode Energy Management Strategy for Distributed Energy System", Spring 2021

  2. Chenyang Sun, Thesis topic "Research on Consensus Based Switching Dispatch Strategy for Microgrid", Spring 2021

• Master Co-supervisor

  1. Jingyu Wang, Thesis topic "Research on Collaborative Planning of Energy Network and Distributed Energy Management in Regional Integrated Energy System”, Fall, 2021

[Faculty Lecture/Tutorials/Invited Talk]

• Faculty lecture: “Distributed Optimal Economic Dispatch Problem for Power System and Energy Internet,” University of Denver, Fall 2019.
• Tutorials: “Machine Learning and Optimization for Smart Grid”, The 11th International Conference on Innovative Smart Grid Technologies, Singapore, November, 2022
• Invited talk: “Fast energy management for Energy Internet”, The 4th IEEE Conference on Energy Internet and Energy System Integration, Wuhan, China, November 2020
• Invited talk: “Distributed optimization for Energy Internet”, CAA Youth e-Summit (CAA YeS), China, March, 2022
• Invited talk: “Distributed optimization for Energy Internet,” PriTEM workshop, Oslo, Norway, March 22-23, 2023
• Invited talk: “Distributed optimization and digital twin for smart energy management,” Northeastern University, 23th August, 2023.
• Invited talk: “Distributed optimization and digital twin for smart energy management,” Dalian Maritime University, 21th August, 2023.