Optimized data-driven strategy for fault region identification, type classification, and location prediction in a multi-source wide area power system under practical conditions

Fault identification in large-scale multi-machine power systems remains a critical challenge for maintaining grid stability and reliability. Reported methods that assume idealized solid fault conditions lack applicability to real-world scenarios where fault resistance significantly affects system be