Neural Network Modelling of Magnetic Effects in Solid-State Transformer Performance Under Variable Magnetic Operating Conditions
Solid State transformers (SSTs) are pivotal for renewable energy integration and smart grids, yet their performance is critically limited by non-linear magnetic effects such as core losses, flux- density saturation, and magnetising-inductance drift, that conventional analytical methods and prior artificial neural netwo...