Enhanced fault localization in multi-terminal transmission lines using novel machine learning

• Published in: International journal for simulation and multidisciplinary design optimization Vol. 15; p. 15
• Main Authors: Wang, Yingyun, Qi, Xiaoxia, Chen, Yang
• Format: Journal Article
• Language: English
• Published: Les Ulis EDP Sciences 2024
• Subjects: Configurations; detection system; Electric power grids; Electric power systems; Electricity distribution; Fault detection; Fault location; Localization; Machine learning; Measuring instruments; phasor measurement unit; Phasors; Reliability; tapped lines; transmission line; Transmission lines

Accurate fault location on transmission lines is paramount for ensuring the reliable and efficient operation of the electricity grid, which underpins every aspect of modern society. Existing fault localization methods for transmission lines often face shortcomings, particularly in scenarios involvin...