Zhengmao Li
Assistant Professor
Assistant Professor
T410 Dept. Electrical Engineering and Automation
Dr. Li received the B.E. degree in information engineering and the M.E. degree in electrical engineering from Shandong University, Ji'nan, China, and the Ph.D. degree in electrical engineering from the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2020. During 2019-2021, he was a Research Fellow with the Stevens Institute of Technology, Hoboken, NJ, USA under IEEE Fellow, Prof. Wu Lei. From 2021-2023, he was a Research Fellow at Nanyang Technological University and Singapore ETH Center under IEEE Fellow, Prof. Wang Peng and Prof. Xu Yan.
From April. 2023, Dr.Li joined Aalto University as an Assistant Professor.
His research topics include but not limited to the following aspects:
- Planning and operation of integrated-energy systems, such as (islanded/grid-connected) microgrids, ships, seaports, smart buildings, etc., with integrated power, thermal, and gas networks.
- Tackling diverse uncertainties such as those from renewable energies, outdoor temperature, gas prices, and ship swinging with the multi-stage (distributional) robust/stochastic optimization methods in multi-energy systems.
- Resilience enhancement of integrated-energy systems with demand response scheme and heterogeneous transportable energy storage.
- Advanced algorithms development and application in multi-energy operations such as approximate dynamic programming, deep reinforcement learning, machine learning, etc.
Full researcher profile
https://research.aalto.fi/...
Areas of expertise
Multi energy system, electric energy storage, uncertainty handling, smart ships and buildings, deep reinforcement learning, Combined Heat and Power, Hydrogen, 213 Electronic, automation and communications engineering, electronics
Research groups
- Multi-energy System Planning and Operation
Publications
Peer-to-Peer Energy Trading Under Network Constraints Based on Generalized Fast Dual Ascent
Changsen Feng, Bomiao Liang, Zhengmao Li, Weijia Liu, Fushuan Wen
2023
IEEE Transactions on Smart Grid
Blockchain-enabled Carbon and Energy Trading for Network-Constrained Coal Mines with Uncertainties
Hongxu Huang, Zhengmao Li, L. P.M.I. Sampath, Jiawei Yang, Hung D. Nguyen, Hoay Beng Gooi, Rui Liang, Dunwei Gong
2023
IEEE Transactions on Sustainable Energy
Distributionally robust energy-transportation coordination in coal mine integrated energy systems
Hongxu Huang, Zhengmao Li, Hoay Beng Gooi, Haifeng Qiu, Xiaotong Zhang, Chaoxian Lv, Rui Liang, Dunwei Gong
2023
Applied Energy
Two-stage Stochastic Programming for Coordinated Operation of Distributed Energy Resources in Unbalanced Active Distribution Networks with Diverse Correlated Uncertainties
Ruoxuan Leng, Zhengmao Li, Yan Xu
2023
Journal of Modern Power Systems and Clean Energy
Cooperative Operation of Renewable-Integrated Multi-Energy Microgrids Under Dynamic Rolling Horizon Strategy
Zhengmao Li, Jorma Kyyrä, Yan Xu, Tianyang Zhao, Yunqi Wang
2023
2023 25th European Conference on Power Electronics and Applications, EPE 2023 ECCE Europe
Coordinated preparation and recovery of a post-disaster Multi-energy distribution system considering thermal inertia and diverse uncertainties
Zhengmao Li, Yan Xu, Peng Wang, Gaoxi Xiao
2023
Applied Energy
Distributed tri-layer risk-averse stochastic game approach for energy trading among multi-energy microgrids
Zhengmao Li, Lei Wu, Yan Xu, Luhao Wang, Nan Yang
2023
Applied Energy
Editorial : Data-based resilience-oriented planning and operation of multi-energy systems
Zhengmao Li, Josep M. Guerrero, Mohammad Shahidehpour, Edmond Y.M. Lo, Shunbo Lei
2023
Frontiers in Energy Research
Distributed optimization for network-constrained peer-to-peer energy trading among multiple microgrids under uncertainty
Luhao Wang, Zhuo Wang, Zhengmao Li, Ming Yang, Xingong Cheng
2023
International Journal of Electrical Power and Energy Systems
Risk-averse restoration of coupled power and water systems with small pumped-hydro storage and stochastic rooftop renewables
Yesen Yang, Zhengmao Li, Pradeep V. Mandapaka, Edmond Y.M. Lo
2023
Applied Energy