China
Sichuan University - College of Electrical Engineering
Real-time optimal power flow, GNN, Physical mechanism, Unsupervised learning
Rural distribution network, Peer-to-peer transaction, Nash bargaining, Adaptive alternating direction method of multiplier
Distributed Control, Frequency control, Networked microgrid system, Alternating Direction Method of Multipliers (ADMM)
Smart commercial building, Electricity market, Renewable energy, Adaptive robust Optimization, Column and Constraints Generation algorithm
active distribution networks, Volt/Var control, surrogate-assisted model, evolutionary computation, machining learning
AC/DC hybrid systems, power flow analysis, physics-guided graph neural networks, Lagrangian method, multiple DC control modes
Demand response, customer baseline load, deep reinforcement learning, clustering, optimization model
Hydrogen enriched compressed natural gas, two-stage robust Nash bargaining, Solid Oxide Fuel Cells, Hybrid energy storage system
Demand response, Industrial Park, Scheduling, Renewable energy.
High-proportion of renewable energy, peak regulation optimization, renewable power curtailment, cost allocation
