Yushuai Li(李玉帅)

Assistant Professor

Department of Computer Science,
Aalborg University,
Selma Lagerlöfs Vej 300 DK-9220, Aalborg Øst, Denmark

Office: 3.2.38
E-mail: yushaili@ieee.org / yusli@cs.aau.dk

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 17 and 1700+ 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 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:


Summary of Award and Scientific Contributions

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

Project Experience

Professional Services

[Membership]

[Session/Track/Workshop Chair]

[Student Video / PHD Thesis Competition Chair]

[Associated Editor]

[Guest Editor]

[Selected Journal Reviewers]

[PC Member]


Teaching

[Courses]

[Supervisors]

[Faculty Lecture/Tutorials/Invited Talk]


Last Updated: Jun 7th, 2023