Publikationer av Mengfan Zhang
Refereegranskade
Artiklar
[1]
Y. Lu et al., "Digital Twin-Based Cyber-Attack Detection and Mitigation for DC Microgrids," IEEE Transactions on Smart Grid, vol. 16, no. 2, s. 876-889, 2025.
[2]
M. Zhang et al., "DNN Assisted Projection based Deep Reinforcement Learning for Safe Control of Distribution Grids," IEEE Transactions on Power Systems, vol. 39, no. 4, s. 5687-5698, 2024.
[3]
M. Zhang et al., "Data Driven Decentralized Control of Inverter Based Renewable Energy Sources Using Safe Guaranteed Multi-Agent Deep Reinforcement Learning," IEEE Transactions on Sustainable Energy, vol. 15, no. 2, s. 1288-1299, 2024.
[4]
Z. Li et al., "Decentralized Active Disturbance Rejection Control for Hybrid Energy Storage System in DC Microgrid," IEEE Transactions on Industrial Electronics, vol. 71, no. 11, s. 14232-14243, 2024.
[5]
M. Agredano Torres et al., "Decentralized Dynamic Power Sharing Control for Frequency Regulation Using Hybrid Hydrogen Electrolyzer Systems," IEEE Transactions on Sustainable Energy, vol. 15, no. 3, s. 1847-1858, 2024.
[6]
M. Zhang och Q. Xu, "Deep Neural Network-Based Stability Region Estimation for Grid-Converter Interaction Systems," IEEE Transactions on Industrial Electronics, vol. 71, no. 10, s. 12233-12243, 2024.
[7]
B. Wang et al., "Higher Order Sliding Mode Observer Based Fast Composite Backstepping Control for HESS in DC Microgrids," IEEE Transactions on Sustainable Energy, vol. 15, no. 3, s. 1627-1639, 2024.
[8]
M. Zhang, Q. Xu och X. Wang, "Physics-Informed Neural Network Based Online Impedance Identification of Voltage Source Converters," IEEE Transactions on Industrial Electronics, vol. 70, no. 4, s. 3717-3728, 2023.
[9]
M. Zhang et al., "Review of online learning for control and diagnostics of power converters and drives : Algorithms, implementations and applications," Renewable & sustainable energy reviews, vol. 186, 2023.
[10]
G. Guo et al., "Safe multi-agent deep reinforcement learning for real-time decentralized control of inverter based renewable energy resources considering communication delay," Applied Energy, vol. 349, 2023.
[11]
M. Zhang, Y. Zhang och Q. Xu, "Transfer Learning Based Online Impedance Identification for Modular Multilevel Converters," IEEE transactions on power electronics, vol. 38, no. 10, s. 12207-12218, 2023.
[12]
M. Zhang et al., "Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids," IEEE Transactions on Smart Grid, vol. 13, no. 3, s. 1751-1761, 2022.
Konferensbidrag
[13]
M. Zhang och Q. Xu, "An MPC based Power Management Method for Renewable Energy Hydrogen based DC Microgrids," i 2023 IEEE Applied Power Electronics Conference and Exposition, APEC, 2023, s. 577-581.
[14]
Y. Lu et al., "An Online Digital Twin based Health Monitoring Method for Boost Converter using Neural Network," i 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, 2023, s. 3701-3706.
[15]
M. Zhang et al., "Decentralized Coordination and Stabilization of Hybrid Energy Storage Systems in DC Microgrids," i 2023 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, PESGM, 2023.
[16]
R. Liu, M. Zhang och Z. Wang, "Disturbance Observer-Based Model Predictive Power Synchronization Control for Suppression of Synchronous Oscillation," i IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, 2023.
[17]
M. Agredano Torres et al., "Dynamic power allocation control for frequency regulation using hybrid electrolyzer systems," i 2023 IEEE Applied Power Electronics Conference And Exposition, APEC, 2023, s. 2991-2998.
[18]
J. Mao, M. Zhang och Q. Xu, "CNN and LSTM based Data-driven Cyberattack Detection for Grid-connected PV Inverter," i IEEE International Conference on Control and Automation, ICCA, 2022, s. 704-709.
[19]
M. Zhang et al., "Multi-Agent Deep Reinforcement Learning for Decentralized Voltage-Var Control in Distribution Power System," i 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, 2022.
Icke refereegranskade
Kapitel i böcker
[20]
M. Zhang och Q. Xu, "Safe Deep Reinforcement Learning for Renewable Energy Integrated Power System," i Digitalisation of Local Energy Systems, Weiqi Hua; Xiao-Ping Zhang; David C.H. Wallom red., : Springer Nature, 2025, s. 313-336.
Senaste synkning med DiVA:
2025-11-29 23:35:00 UTC