A Successive Geometric Segmentation Approach Applied to Double-Circuit Transmission Lines Fault Classification and Location

This paper presents a new approach to address both fault classification and location in double-circuit power transmission lines. Fault diagnosis is achieved by using an algorithm based on the successive geometric segmentation approach. The proposed technique is able to generate both the topology and...

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Bibliographic Details
Published in:Journal of control, automation & electrical systems automation & electrical systems, 2016-08, Vol.27 (4), p.452-462
Main Authors: Gaspar Valente, Wander Antunes, de Mello Honório, Leonardo, de Oliveira, Edimar José, de Alcantara Barbosa, Daniele, Boas, Elias Ramos Vilas
Format: Article
Language:English
Subjects:
Control
Control and Systems Theory
Electrical Engineering
Engineering
Mechatronics
Robotics
Robotics and Automation
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Summary:This paper presents a new approach to address both fault classification and location in double-circuit power transmission lines. Fault diagnosis is achieved by using an algorithm based on the successive geometric segmentation approach. The proposed technique is able to generate both the topology and the weighting of neural networks. The input parameters are the magnitudes of phase voltages and currents measured in only one bus of a double-end fed transmission line. In order to validate the methodology, a comprehensive dataset of cross-country faults was simulated using a mathematical model. The results indicate high accuracy rate to fault diagnosis in double-circuit transmission lines compared to other ANN-based approaches found in the literature.
ISSN:2195-3880
2195-3899
DOI:10.1007/s40313-016-0252-4