| 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. |
| Key words: Phasor measurement unit (PMU), Backup protection, Fault classification, Support vector machine(SVM), Equivalent power factor angle (EPFA) |
| DOI：10.1186/s41601-018-0089-x |
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| Fund: |
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