3 papers
eess.SY2025
Constraints and Variables Reduction for Optimal Power Flow Using Hierarchical Graph Neural Networks with Virtual Node-Splitting
Thuan Pham, Xingpeng Li
Power system networks are often modeled as homogeneous graphs, which limits the ability of graph neural network (GNN) to capture individual generator features at the same nodes. By…
eess.SY2024
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
Thuan Pham, Xingpeng Li
Optimal power flow (OPF) has been used for real-time grid operations. Prior efforts demonstrated that utilizing flexibility from dynamic topologies will improve grid efficiency. Ho…
eess.SY2024
N-1 Reduced Optimal Power Flow Using Augmented Hierarchical Graph Neural Network
Thuan Pham, Xingpeng Li
Optimal power flow (OPF) is used to perform generation redispatch in power system real-time operations. N-1 OPF can ensure safe grid operations under diverse contingency scenarios.…