Audit-based Power Surge Detection using Federated Learning in Smart Transmission Lines-Reference-Cited by-同舟云学术

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

Published:2024-01-17 Issue: Volume:18 Page:364-372
ISSN:2224-350X
Container-title:WSEAS TRANSACTIONS ON POWER SYSTEMS
language:en
Short-container-title:

Author:

Thaha M. Mohammed¹,Mustapen Rosini Nawang²,Deraman Rafikullah³,Durairaj Shanmugam⁴,Ramadass Rajendrakumar⁴

Affiliation:

1. B.S.Abdur Rahman Crescent Institute of Science and Technology, GST Road, Vandalur, Chennai - 600 048, Tamilnadu, INDIA

2. School of Technology Management and Logistics, Universiti Utara Malaysia, Kedah, MALAYSIA

3. Project and Facilities Management Research Group, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, Batu Pahat, MALAYSIA

4. College of Engineering and Technology, Engineering Department, University of Technology and Applied Sciences, Shinas, SULTANATE OF OMAN

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.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

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