Research

An ANN routine for fault detection, classification, and location in transmission lines


Reference:

Coury, D. V., Oleskovicz, M. and Aggarwal, R. K., 2002. An ANN routine for fault detection, classification, and location in transmission lines. Electric Power Components and Systems, 30 (11), pp. 1137-1149.

Related documents:

This repository does not currently have the full-text of this item.
You may be able to access a copy if URLs are provided below.

Abstract

This article presents an Artificial Neural Network (ANN) approach to simulate a complete scheme for distance protection of transmission lines. The protection technique is based on a modular approach whereby different neural network modules have been adopted for fault detection, fault classification and fault location. Three-phase voltage and current samples were utilized as inputs for the proposed scheme. The Alternative Transients Program (ATP) software was used to generate data for the transmission line (400 W). The results obtained show that the global performance of the ANN architectures is highly satisfactory under a wide variety of different fault conditions.

Details

Item Type Articles
CreatorsCoury, D. V., Oleskovicz, M. and Aggarwal, R. K.
DOI10.1080/15325000290085433
DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
RefereedYes
StatusPublished
ID Code6104
Additional InformationID number: ISI:000178740900003

Export

Actions (login required)

View Item