Zehao Song’s Personal Academic Website
About Me
I’m currently pursing my Master of Science degree in Electrical Engineering at Tsinghua University, advised by Prof. Yinliang Xu.
I’m a member of Energy Management System Laboratory led by Prof. Hongbin Sun, Department of Electrical Engineering, Tsinghua University.
My research interests include power system optimization and control, decarbonization of the power system, and the application of data-driven method in power systems.
My CV is here.
Research
The power system is undergoing an evolutionary transition for a more sustainable future under the goal of decarbonization. My research focuses on the power system operation problem with ever-increasing distributed energy resources (DERs) like renewable energy resources (RESs), energy storage systems (ESSs) and electric vehicles (EVs) integration on the demand-side.
Uncertainty Problem
Handle with uncertainty problem associated with RES during power system operation. My current research interest is on distributionally robust optimization (DRO) based approaches.
Distributed Optimization
Decentralized and distributed operation mode to fully exploit the flexibility and edge-intelligence of numerous DERs and promote demand-side users to participate in demand response (DR).
Decarbonization of the power system
Design effective carbon emission reduction paradigm to promote low-carbon operation of the power system based on carbon emission flow (CEF) theory and locational marginal carbon emission factor analysis. The key point is to investigate the relationship between the operation strategies of various kinds of DERs and the carbon emission impact of the system.
Updates
2024/07: It’s a great honor to present our work “Carbon-Aware Peer to Peer Joint Energy and Reserve Trading Market for Prosumers in Distribution Networks” published in IEEE Internet of Things Journal @ 2024 IEEE Power and Energy Society General Meeting (PES GM),Seattle, Washington, USA.
2024/05: Our paper entitled “Low‐carbon demand response program for power systems considering uncertainty based on the data‐driven distributionally robust chance constrained optimization” has been accepted by IET Renewable Power Generation. DOI: 10.1049/rpg2.13021.
2024/02: Our paper entitled “Carbon-Aware Peer to Peer Joint Energy and Reserve Trading Market for Prosumers in Distribution Networks” has been accepted by IEEE Internet of Things Journal. DOI: 10.1109/JIOT.2024.3367361.
2023/06: Our paper entitled “Low-carbon Scheduling Strategy of Distributed Energy Resources Based on Node Carbon Intensity for Distribution Networks” has been accepted by High Voltage Engineering (EI Index, in Chinese), June, 2023, 49(06):2318-2328. DOI:10.13336/j.1003-6520.HVE.20230216.
2023/02: Our paper entitled “Network-Constrained Transactive Control for Multi-Microgrids-Based Distribution Networks With Soft Open Points” has been accepted by IEEE Transactions on Sustainable Energy, vol. 14, no. 3, pp. 1769-1783, July 2023. DOI:10.1109/TSTE.2023.3246360.
Selected Projects
Research on the interactive regulation of urban power grid and massive electric vehicles for group intelligent clustering and aggregation.
Supported by the Shenzhen Natural Science Foundation.
Role: Main participant
Dec. 2023 — Dec. 2025
Key Technology and Application of Virtual Power Plant Construction and Scheduling for Urban Massive Flexible Resource Aggregation.
China Southern Power Grid Scientific Project.
Received the Second-class prize of Shenzhen Scientific and Technological Progress.
Role: Main participant.
Jun. 2022 — Aug. 2023
Research on distributed energy resources aggregation and optimized scheduling technique of virtual power plant for decarbonization.
China Southern Power Grid Scientific Project.
Role: Main participant
Jun. 2022 — Aug. 2023
Urban power grid scheduling technique with large-scale electric vehicle integration research.
State Grid Corporation of China Scientific Project.
Role: Participant
Jan. 2021 — Dec. 2022
Cloud-Cluster-End coordinated virtual power plant optimal operation research.
China Southern Power Grid
Scientific Project.
Role: Participant
Nov. 2021 — Dec. 2022
Talks & Presentations
Network-Constrained Transactive Control for Multi-Microgrids-based Distribution Networks with Soft Open Points
Oral presentation @ the 15th Guangdong-Hong Kong-Macao Greater Bay Area Academic Forum for Doctoral Students in conjunction with the 706th Tsinghua University Academic Forum, Shenzhen, Guangdong, China.
Description: “This oral presentation is about the transactive energy control framework for multi-microgrids.”
Carbon-Aware Peer to Peer Joint Energy and Reserve Trading Market for Prosumers in Distribution Networks
Presentation @ 2024 IEEE Power and Energy Society General Meeting (PES GM), Seattle, Washington, USA.
Description: “This presentation is about carbon-aware P2P trading for prosumers in distribution networks.”