Audit-based Power Surge Detection using Federated Learning in Smart Transmission Lines

Abstract

Smart transmission lines are designed to improve the optimal distribution irrespective of the surge due to peak utilization and generation. Therefore distribution audits are mandatory for identifying power surges in these transmission lines. This article, therefore, proposes a Power Surge Detection using the Transmission Audit (PSD-TA) scheme. The proposed scheme houses federated learning for identifying surges due to generation or utilization between distribution points. Based on the detection, the regulation or transmission allocation for the distinct surges is recommended by the learning for reducing failures. Therefore the previous audit from the surge is used for identifying similar failures by training the learning paradigm. This scheme, therefore, improves the distribution rate and meets the utilization demands of the users.