Wavelet-based Transmission Line Fault Detection Engineering essay
Fault detection in power systems is an important research area for power distribution networks. The power transmission systems often operate in the kV range, with significant current flowing through the lines. A single mistake, which can even last a while. This review article mainly focuses on the implementation of discrete wavelet transform WT, multi-resolution analysis MRA, artificial neural networks ANN and fuzzy logic for error analysis. Transmission line failures are an inevitable part of any energy system. They cause a disruption of the power supply, which is undesirable. In this paper, an optimal wavelet-controlled relay based on a single index is proposed for the protection of high-voltage transmission lines. In addition to the existing use of wavelet transform in fault detection studies, swarm support is provided for optimally setting threshold values to achieve fast and reliable fault detection. Therefore, faults in transmission lines are an inevitable part of any power system. They cause a disruption of the power supply, which is undesirable. With ever-increasing demands for better performance and minimal interruptions, accurate fault analysis is necessary to restore a system to normal operation by detecting and clearing the. This paper proposes a new method for detection and classification of transmission line faults using oscillographic data. The error detection and its recovery time are determined based on a set of.