1
Department of Electrical Engineering - Power, Faculty of Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
2
Assistant Professor, Department of Electrical Engineering, Urmia Branch, Islamic Azad University, Urmia, Iran
10.47176/TMI.2025.47
Abstract
Identifying and locating various faults in distribution networks can significantly reduce maintenance costs in these systems. For this reason, intelligent methods for fault detection and location with high accuracy and speed have recently gained attention from system operators and planners in power systems. This paper proposes an intelligent fault detection and location model based on the concept of traveling waves (TW), where the input signal is generated using the Hilbert-Huang Transform (HHT). In the proposed method, the voltage at all network terminals is measured and converted into the phasor domain in the complex space. The obtained phasor components are processed using the Hilbert-Huang Transform (HHT), and the intrinsic mode functions (IMFs) are extracted. The instantaneous magnitude of the first IMF associated with each voltage signal determines the branch where the fault has occurred, and this component is also used for fault detection and determining the fault occurrence time. Subsequently, by identifying the branch and comparing the time-domain components of the traveling wave signals from both the initial and terminal terminals of the branch, the precise fault location on the branch is determined using the concept of traveling waves. Simulation results show that the fault location estimation accuracy under various scenarios is over 98%.
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Darbani,S , Ghanbari,J and Beiraghi,M . (2025). Fault Detection and Location in Distribution Networks Using the Traveling Wave Theory Based on Hilbert-Huang Transform. Transactions on Machine Intelligence, 8(1), 47-56. doi: 10.47176/TMI.2025.47
MLA
Darbani,S , , Ghanbari,J , and Beiraghi,M . "Fault Detection and Location in Distribution Networks Using the Traveling Wave Theory Based on Hilbert-Huang Transform", Transactions on Machine Intelligence, 8, 1, 2025, 47-56. doi: 10.47176/TMI.2025.47
HARVARD
Darbani S, Ghanbari J, Beiraghi M. (2025). 'Fault Detection and Location in Distribution Networks Using the Traveling Wave Theory Based on Hilbert-Huang Transform', Transactions on Machine Intelligence, 8(1), pp. 47-56. doi: 10.47176/TMI.2025.47
CHICAGO
S Darbani, J Ghanbari and M Beiraghi, "Fault Detection and Location in Distribution Networks Using the Traveling Wave Theory Based on Hilbert-Huang Transform," Transactions on Machine Intelligence, 8 1 (2025): 47-56, doi: 10.47176/TMI.2025.47
VANCOUVER
Darbani S, Ghanbari J, Beiraghi M. Fault Detection and Location in Distribution Networks Using the Traveling Wave Theory Based on Hilbert-Huang Transform. Trans. Mach. Intell.. 2025;8(1):47-56. doi: 10.47176/TMI.2025.47
