Doctoral Candidate
Haoyang Zhang
Contact
h.zhang2@ tue.nlDepartment / Institute
![](https://assets.w3.tue.nl/w/fileadmin/_processed_/7/b/csm_6799a1e38bb307cb40b0292f857eb303_fb871916ef.jpg)
ACADEMIC BACKGROUND
Haoyang Zhang is a Ph.D. student with the research group Electrical Energy Systems at the TU/e, focusing on market power simulation in the local energy markets with multi-agent reinforcement learning as part of the MEGAMIND project. Prior to the Ph.D. study, he was an associate researcher at China Southern Power Grid, Guangzhou, China from 2019 to 2021. He obtained his bachelor's degree from South China University of Technology, Guangzhou, China in 2016 and his master's degree from Royal Institute of Technology (KTH), Stockholm, Sweden in 2019. During the M.S. study, Haoyang was a Visiting Researcher with the PSL Lab, Swiss Federal Institute of Technology in Zürich (ETH Zürich), Zürich, Switzerland, in 2018.
Recent Publications
-
Establishing a Hierarchical Local Market Structure Using Multi-cut Benders Decomposition
Applied Energy (2024) -
Designing Efficient Local Flexibility Markets in the Presence of Reinforcement-Learning Agents
TechRxiv (2024) -
Deep reinforcement learning-based prosumer aggregation bidding strategy in a hierarchical local electricity market
(2024) -
Hybrid local electricity market designs with distributed and hierarchical structures
(2023) -
Studying the Impact of Smart Meter Placement on Low-Voltage Grid State Estimation
(2022)
Ancillary Activities
No ancillary activities