LI, Zhigang

Projects

LI, Zhigang
Title:

Assistant Professor

Education Background:
Ph.D. Tsinghua University 2016
B.Eng. Tsinghua University 2011
Teaching Area

power system, electricity market, energy economics, electrical engineering

Research

Smart grid, integrated energy systems, renewable energy, optimization theory, artificial intelligence

Industrial Projects

G12.    Research and Development of Carbon Emission Flow Calculation in Power Grids for Next-Generation Power System Demonstration, China Energy Engineering Group Guangdong Electric Power Design Institute Co. Ltd., 2022-2023 (PI).
G13.    Theory and Methodology of Carbon Emission Flow Analysis in Transmission and Distribution Power Network with Uncertainty, Shanxi Energy Internet Research Institute, 2023-2025 (PI).
G14.    Hierarchical Multi-Objective Optimization and Intelligent Decision Making of Resilience-Concerned Reactive Power and Voltage Control of Large-Scale Power Grids, Guizhou Power Grid Company, 2016-2019 (Co-PI).

Government Fundings

G1.    On Key Methodology of Situational Awareness and Security Analysis for Heterogeneous Energy Networks with Nonlinear Multi-Modal Dynamics, General Grant of National Science Foundation of China, 2022-2025 (PI).
G2.    On Hybrid Stochastic and Robust Optimization of Combined Electric Power and Heating System Dispatch Hedging the Uncertainties of Wind Power with Correlation, Young Scholar Grant of National Science Foundation of China, 2019-2021 (PI).
G3.    Methodology of Distributed Operation State Perception and Security Situational Awareness of Multi-energy Systems, Guangdong Basic and Applied Basic Research Foundation, 2019-2022 (PI).
G4.    Robust Optimization and Decision Making of Renewable Power Generation Dispatch Based on the Reduced-Dimension Uncertainty Sets with Correlation Consideration, Guangdong Basic and Applied Basic Research Foundation, 2019-2021 (PI).
G5.    Hybrid Stochastic and Robust Dispatch of AC-DC Power Systems with Deep Penetration of Renewable Power Generation Based on the Approximate Convexified Optimal Power Flows, the Scientific and Technology Program of Guangzhou, 2019-2021 (PI).
G6.    Robust Optimal Power Dispatch and Decision-Making Methodology of Power Systems Based on Reduced Space of Power Injection Uncertainties, Young Elite Scientists Sponsorship Program of CSEE, 2017-2019 (PI).
G7.    Approximate Convexification of Optimal Power Flow of Hybrid AC-DC Power Systems and Its Application in Renewable Power Accommodation, the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, 2019-2020 (PI).
G8.    On Robust Optimization and Decision Making of Renewable Power Dispatch Based on Dimensionally Reduced Uncertainty Sets Considering Correlation, the State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, 2017-2018 (PI).
G9.    Carbon Emission Flow Analysis in Next-Generation Transmission and Distribution Power Network with High-Share Renewable Energy, Fundamental Research Funds for the Central Universities, 2023-2024 (PI).
G10.    Data-Driven Robust Dispatch Methodology for Utilization Renewable Power Generation, Fundamental Research Funds for the Central Universities, 2017-2018 (PI).
G11.    Integrated Management Platform for Large-Scale Heterogeneous Systems and Its Demonstration, Key-Area Research and Development Program of Guangdong Province, 2020-2022 (Co-PI).