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Research Paper | Electrical & Electronics Engineering | Sudan | Volume 11 Issue 11, November 2022

Transmission Line Protection Using Artificial Neural Networks

Helal Qahtan | Ekram Osman | Ebrahim Al-hamidi

Abstract: Application of neural networks in electrical power systems have demonstrated that this powerful tool can be employed as an alternative method for solving problems accurately and efficiently. In this paper, an artificial neural networks approach is presented for the detection, classification and isolation (location) of transmission line faults occurring in the system of transmission line. The main aim is to implement a complete scheme for distance protection of a transmission line system. In order to perform this goal, the distance protection task is subdivided into different neural network for fault detection, fault identification (classification) as well as fault location in different zones. 110 KV transmission line system is used to create training and testing data for the neural network by mat-lab program. The result show that the neural network is a powerful analysis tool for providing faults information that is more reliable and accurate than provided by the traditional relay.

Keywords: ANN, FFANN, transmission line, back propagation

Edition: Volume 11 Issue 11, November 2022,

Pages: 1404 - 1408