Abstract

Remote monitoring of transmission lines of a power system is significant for improved reliability and stability during fault conditions and protection system breakdowns. This paper proposes a smart backup monitoring system for detecting and classifying the type of transmission line fault occurred in a power grid. In contradiction to conventional methods, transmission line fault occurred at any locality within power grid can be identified and classified using measurements from phasor measurement unit (PMU) at one of the generator buses. This minimal requirement makes the proposed methodology ideal for providing backup protection. Spectral analysis of equivalent power factor angle (EPFA) variation has been adopted for detecting the occurrence of fault that occurred anywhere in the grid. Classification of the type of fault occurred is achieved from the spectral coefficients with the aid of artificial intelligence. The proposed system can considerably assist system protection center (SPC) in fault localization and to restore the line at the earliest. Effectiveness of proposed system has been validated using case studies conducted on standard power system networks.

Highlights

  • Real time backup monitoring system for transmission lines is quintessential for stable and reliable operation of any power grid

  • 5 Conclusion Backup protection of transmission lines is of elevated significance in power grid operation and control

  • Advanced numerical relays are available for transmission line protection, backup protection is important to provide adequate system performance during protection system breakdowns and circuit breaker failures

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Summary

Introduction

Real time backup monitoring system for transmission lines is quintessential for stable and reliable operation of any power grid. Major functionalities of such remote backup monitoring system are detecting and classifying the transmission line faults occurred in a power grid [12,13,14,15].

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