Protection for 330 kV transmission line and recommendation for Nigerian transmission system: a review

Ogar, V. N., Gamage, K. A. A. and Hussain, S. (2022) Protection for 330 kV transmission line and recommendation for Nigerian transmission system: a review. International Journal of Electrical and Computer Engineering, 12(3), pp. 3320-3334.

Abstract

The transmission line is an integral part of the electrical power system; however, a fault has a negative impact on the system, like blackout, power loss, financial losses, and socio-economic impact. This fault occurs due to ageing conductors, lightning stroke, switching surge and human interference. We reviewed the protection scheme implemented in the Nigerian transmission network, which has challenges relating to the environment's terrain and a long-distance transmission line of about 20,000 km. The different approach of fault classification, detection and location was analysed and critically summarised. This review paper proposes a hybrid Artificial Neural Network and distance protection scheme that can automatically identify, locate, isolate, predict, correct faults, and real-time monitor and control the entire network. It can also detect the shortest possible trip time of 0.02 s and 0.03 s of line current and fault losses, respectively, during fault to avert damage on the line. However, this method has its challenges, such as the volume of data generated from load flow analysis, training time, and the total distance covered by the network. However, these can be averted by segmenting the entire network for easy evaluation and monitoring to achieve set goals.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Gamage, Professor Kelum and Ogar, VINCENT
• Authors: Ogar, V. N., Gamage, K. A. A., and Hussain, S.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: International Journal of Electrical and Computer Engineering
• Publisher: Institute of Advanced Engineering and Science
• ISSN: 2088-8708
• ISSN (Online): 2088-8708
• Copyright Holders: Copyright © 2022 The Author(s)
• First Published: First published in International Journal of Electrical and Computer Engineering 12(3): 3320-3334
• Publisher Policy: Reproduced under a Creative Commons licence