Field programmable gate array implementation of a fault location system in transmission lines based on artificial neural networks

Abstract

In the field of electrical engineering there are many areas where artificial neural networks (ANNs) are being applied. ANNs can be modelled and implemented by means of the execution of specific software in sequential computers. Nevertheless, if a real-time application wants to be developed, it is necessary to study how to use its massively parallel processing capacity by a specific electronic system. This study presents the methodology, the design and the field programmable gate array implementation process of a fault classification and location prototype for overhead transmission lines, based on ANNs.