Yushuai Li

Emneord: distributed systems, energy internet, adaptive control

Utvalgte publikasjoner

• Y. Li, T. Li, H. Zhang, X. Xie and Q. Sun, "Distributed Resilient Double-Gradient-Descent Based Energy Management Strategy for Multi-Energy System under DoS Attacks," IEEE Transactions on Network Science and Engineering, doi: 10.1109/TNSE.2022.3162669, 2022.
• 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. (*Corresponding author)
• Y. Li, J. Wang, and R. Wang, et al., "A Switched Newton-Raphson-Based Distributed Energy Management Algorithm for Multi-Energy System under  Persistent DoS Attacks, " IEEE Transactions on Automation Science and Engineering, doi: 10.1109/TASE.2021.3104393, 2021.
• Y. Li, D. W. Gao, and W. Gao, et al., "A 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.
• 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.
• 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.
• 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.
• 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. (*Corresponding author)
• 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.
• 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.
• 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.