About Me

I’m currently pursuing my Ph.D. degree at the Department of Civil and Environmental Engineering, Northwestern University.

I earned my Master of Science degree in Electrical Engineering at Tsinghua University, advised by Prof. Yinliang Xu.

I’m a member of the Northwestern University Transportation Center and the Energy Management System Laboratory led by Prof. Hongbin Sun, Department of Electrical Engineering, Tsinghua University.

RESEARCH INTERESTS

Methodologies: Sequential decision-making under uncertainty, distributionally robust optimization (DRO), distributed optimization, deep reinforcement learning (DRL).

Applications: Coordinated operation of the urban transportation and energy systems for decarbonization and resilience enhancement, safety-guaranteed operation for time-varying spatial-temporal systems under uncertainty, urban facilicity service pricing.

My CV is here.

Research

The urban transportation and energy system is undergoing an evolutionary transition toward a more intelligent and sustainable future. My research focuses on the safety-guaranteed operation for time-varying spatial-temporal systems with increasing uncertainty from demand-side integrated distributed energy resources (DERs), such as renewable energy resources (RESs), energy storage systems (ESSs), and electric vehicle (EVs) integration.

Uncertainty Problem

Improving the resilience of spatial-temporal system operation under multiple uncertainties such as stochastic user load demands and volatile renewable generation. My current research interest lies in data-driven methods such as distributionally robust chance constraint (DRCC) 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

Designing proper carbon emission obligation mechanisms and effective carbon emission reduction paradigms to promote low-carbon operation of the urban transportation and energy system based on the attributional and consequential carbon accounting methods.

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.”