Fault Diagnosis of a Grid-Forming Hybrid Energy Storage Power Station Based on a Physics-Informed Heterogeneous Temporal Graph Neural Network Constrained by Virtual Synchronous Generator Control Equations
Fault diagnosis in grid-connected grid-forming hybrid energy storage station (GFM-HESS) systems is challenging because fault transients are jointly affected by converter control dynamics, multi-source electrical couplings, operating-condition variations, and measurement noise. To address these characteristics, this pap...