Zhengmao Li

Zhengmao Li

Multi-energy System Planning and Operation
Assistant Professor
T410 Dept. Electrical Engineering and Automation
Assistant Professor
Department of Electrical Engineering and Automation

Dr. Li is now a PhD supervisor in Finland, he 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:

  1. 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.
  2. 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.
  3. Resilience enhancement of integrated-energy systems with demand response scheme and heterogeneous transportable energy storage.
  4. 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/...

Contact information

Postal address
Maarintie 8 02150 Espoo Finland
Phone number
+358504413955

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

A Two-stage Multi-agent Deep Reinforcement Learning Method for Urban Distribution Network Reconfiguration Considering Switch Contribution

Hongjun Gao, Siyuan Jiang, Zhengmao Li, Renjun Wang, Youbo Liu, Junyong Liu 2024 IEEE Transactions on Power Systems

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

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

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