职称：讲师

学历学位：工学博士

硕/博士生导师：硕士生导师

研究方向：电力系统自动化、电力系统仿真、电力系统人工智能

电话：

E-mail：mtuo@huat.edu.cn

个人简介

庹明暕，男，博士，讲师，研究方向为电力系统自动化、电力系统仿真、电力系统人工智能，现为IEEE Transactions on Power Systems、IEEE Transactions on Smart Grids等国际期刊审稿专家。先后参与国家自然科学基金重点项目1项，主持湖北省重点实验室开放基金项目2项，近些年完成了一系列的理论研究工作，发表SCI/EI收录科研论文10篇以上。作为第一作者/通讯作者在 IEEE Trans. Power Systems、IEEE Trans. Industry Applications、International Journal of Electrical Power & Energy Systems等电气工程学领域著名期刊发表了多篇科研论文。

研究课题

近几年承担科研项目：

(1)国家自然基金项目，重点项目, 电力电子化电力系统中的并网变流器同步机制构建理论与方法，2025.01至 2029.12，在研，参与；

(2)储能与动力电池湖北省重点实验室，重点项目，考虑电池动态特性的储能充电站系统协调优化方法研究，2023-11至今，在研，主持；

(3)汽车动力传动与电子控制湖北省重点实验，基于视觉感知实例分割的汽车座舱监控系统研究，2023-11至今，在研，主持；

近几年主要论文及著作

(1) Mingjian Tuo, F. Jiang, X. Li and P. Van Hentenryck, "Inertia-Constrained Generation Scheduling: Sample Selection, Learning-Embedded Optimization Modeling, and Computational Enhancement," in IEEE Transactions on Power Systems, 2025. (SCI，中科院一区Top)

(2) Mingjian Tuo, Xingpeng Li, Pascal Van Hentenryck, Machine Learning-assisted Dynamics-Constrained Day-Ahead Energy Scheduling [J], Electric Power Systems Research, 2025. (SCI，中科院三区)

(3) Mingjian Tuo, Cunzhi Zhao, Mulan Zhang, Tao Gao, Xuequan Shang, GNN assisted frequency constrained unit commitment of multi-region power systems with high penetration of renewable energy sources, International Journal of Electrical Power & Energy Systems, Volume 168, 2025. (SCI，中科院二区)

(4) Mingjian Tuo, and Xingpeng Li, “Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Grids,” IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4134–4147, Sept. 2023. (SCI，中科院一区Top)

(5) Mingjian Tuo, and Xingpeng Li, “Machine Learning Assisted Inertia Estimation using Ambient Measurements,” IEEE Transactions on Industry Applications, April 2023. (SCI，中科院二区).

(6) Vasudharini Sridharan, Mingjian Tuo, Xingpeng Li, “Wholesale Electricity Price Forecasting using Integrated Long-term Recurrent Convolutional Network Model,” Energies, 2022.

(7) Elias Raffoul, Mingjian Tuo, Cunzhi Zhao, Tianxia Zhao, Meng Ling, Xingpeng Li, “Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting”, IEEE Canada Electrical Power and Energy Conference, 2025.（会议最佳论文奖）

(8) Mingjian Tuo, Jiazi Zhang, Leonardo Rese and Xiaofei Wang, “Developing VSC-HVDC Oscillation Damping Control Constraints in Unit Commitment”, IEEE Power and Energy Society General Meeting (PESGM), Jul 2023. （NREL合作文章，EI）

(9) Mingjian Tuo, and Xingpeng Li, “Long-term Recurrent Convolutional Networks-based Inertia Estimation using Ambient Measurements”. the IEEE Industry Applications Society Annual Meeting, October 2022, Detroit, MI, USA. (EI)

(10) Mingjian Tuo, and Xingpeng Li, “Deep Learning based Security-Constrained Unit Commitment Considering Locational Frequency Stability in Low-Inertia Power Systems”, in Proc. 54th North Amer. Power Symp, Salt Lake City, UT, USA, Oct. 2022.

(11) Mingjian Tuo, “Dynamic Estimation of Power System Inertia Distribution Using Synchrophasor Measurements”, in Proc. 52nd North Amer. Power Symp., April. 2021, virtually, Tempe, AZ, USA （EI）

(12) Mingjian Tuo, Arun Venkatesh Ramesh, Xingpeng Li, “Benefits and Cyber-Vulnerability of Demand Response System in Real-Time Grid Operations”, IEEE Smart Grid Comm, Nov. 2020, Tempe, AZ, USA. (EI)