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Research Framework and Interests
I specialize in Advanced Optimization for Power System Flexibility, Cyber-Physical System Security and Privacy Protection towards the affordable, reliable and sustainable goal for the clean energy future. My research vision is to adopt a holistic approach to enhancing the operational flexibility of high-renewable power systems, which involves achieving an optimal dispatch solution at the system level, ensuring feasibility at the device level, and strengthening cyber-physical and privacy security at the information level. Here are three research directions focused on power system flexibility:
- System Level: Power System Optimization
- Device Level: Grid-Edge Optimization with High-Fidelity COMSOL Simulation
- Information Level: Cyber-Physical System Security and Privacy Protection
System Level: Power System Optimization
- Convex optimization:
convex hull relaxation,disjunctive programming,mixed-integer programming - Decentralized computation:
Benders decomposition,ADMM,Lagrangian relaxation - Data-driven optimization:
DBSCAN,SVM,k-means - Neural Networks:
Neural ODE,Input Convex Neural Network,Fully Monotonic Neural Networks,Lipschitz Neural Networks,Multi-layer perceptron, etc.
Project 1.1. Economic Dispatch for Renewable Power Systems with Flexible Load Transfer
Representative References N/A
Device Level: Grid-Edge Optimization with High-Fidelity COMSOL Simulation
- Underground Cable:
Degraded Underground XLPE Cable,Life Cycle Prediction for Underground Cables - Battery Pack:
Electrochemical-Thermal Coupled Modeling - Electric Circuit Breaker:
Arc Simulation
Project 2.1. Mimic the Water Tree Growth in Medium Voltage Underground Cable to Assess Cable Condition and Predict Remaining Useful Life
Representative References N/A
Project 2.2. Electrochemical-thermal coupled Blade Lithium-Ion Battery for BYD Company
Representative References N/A
Project 2.3. Efficient Battery Dispatch Optimization for Vehicle-to-Grid (V2G) and Ship-to-Grid (S2G)
Representative References N/A
Information Level: Cyber-Physical Security and Privacy Protection
- Cyber-Physical Security:
observability defense,false data injection - Privacy Protection:
differential privacy,Homomorphic encryption - Differentially private optimization:
Gaussian mechanism,Laplace mechanism
Project 3.1. Cyber-Physical Security and Privacy Protection for Smart Distribution Grids
Representative References N/A