A discharge detection method in high-voltage direct current system using wavelet transform with adaptive wavelet level decision

This paper proposes a method that uses adaptive decision-making of wavelet level for detecting high-voltage direct current (HVDC) discharge in wavelet transform. Identification and detection of HVDC discharge are essential study subjects for pipeline safety and optimal operation of electrical power systems. This method overcomes the disadvantage that wavelet packet transform needs to determine the level in advance. The decomposition level of wavelet packet transform is controlled by calculating relatively wavelet energy change to decide its wavelet level. Our proposal extracts richer features of HVDC discharge by comparing other feature extraction algorithms. The second primary discovery is that a wavelet-based application framework is designed to detect the HVDC discharge and further protect the energy pipeline. These discoveries have application value in the protection of power systems and provide opportunities and brighter perspectives along with valuable studies in the detection and classification of time-series data.