Area of research
Electrical and Electronic Engineering · Control and Systems Engineering
Research interest
Research interests include Smart Grid Energy Management, Microgrid Control and Optimization, Electric Vehicles and Infrastructure, and Optimal Power Flow Distribution.
Data integrity attack resilience for electric vehicle charging management centers in distributed optimal power flow with non-ideal Li-ion battery models
Applying Large Language Models to Power Systems: Potential Security Threats
Coordinated Planning of Dynamic Wireless Charging Systems and Electricity Networks Considering Range Anxiety of Electric Vehicles
Privacy-Preserving Bi-Level Optimization of Internet Data Centers for Electricity-Carbon Collaborative Demand Response
Optimal Volt/Var Control for Unbalanced Distribution Networks With Human-in-the-Loop Deep Reinforcement Learning
Distributed Adaptive Robust Restoration Scheme of Cyber-Physical Active Distribution System With Voltage Control
Planning of Electric Vehicle Charging Stations With PV and Energy Storage Using a Fuzzy Inference System
Distributed Electric Vehicle Assignment and Charging Navigation in Cyber-Physical Systems
Coordinated Planning of Electricity and Hydrogen Networks with Hydrogen Supply Chain for Fuel Cell Electric Vehicles
Adaptive Integrated Planning of Electricity Networks and Fast Charging Stations Under Electric Vehicle Diffusion
A Multi-Mode Data-Driven Volt/Var Control Strategy With Conservation Voltage Reduction in Active Distribution Networks
Coordinated Real-Time Voltage Control in Active Distribution Networks: An Incentive-Based Fairness Approach
Data-driven on-demand energy supplement planning for electric vehicles considering multi-charging/swapping services
Flexible Voyage Scheduling and Coordinated Energy Management Strategy of All-Electric Ships and Seaport Microgrid
Distributed Optimal Voltage Control and Berth Allocation of All-Electric Ships in Seaport Microgrids
A Data-driven Agent-based Planning Strategy of Fast-Charging Stations for Electric Vehicles
Encryption-based Coordinated Volt/Var Control for Distribution Networks With Multi-Microgrids
Two-Stage Volt/Var Control in Active Distribution Networks With Multi-Agent Deep Reinforcement Learning Method
Optimal Local Volt/Var Control for Photovoltaic Inverters in Active Distribution Networks
A Customized Voltage Control Strategy for Electric Vehicles in Distribution Networks With Reinforcement Learning Method
Cost-Effective Coordinated Voltage Control in Active Distribution Networks With Photovoltaics and Mobile Energy Storage Systems
Hierarchical Voltage Control Strategy in Distribution Networks Considering Customized Charging Navigation of Electric Vehicles
Real-Time Volt/Var Control in Active Distribution Networks With Data-Driven Partition Method