Deep Learning-Based Faulted-Phase Selector for Transmission Networks with High Renewable Penetration Level

The increasing penetration of converter-interfaced renewable generation (CIG) in transmission and distribution networks has substantially modified the short-circuit response of power systems. Unlike synchronous generators, power electronic converters do not exhibit a classical subtransient response and actively limit their fault current contribution according to control strategies and thermal constraints. As a result, fault current in networks with a high share of