Karafan Journal

Karafan Journal

High Impedance Fault Detection in Distribution Networks based on Morphological gradient

Document Type : Original Article

Authors
Moslem Salehi 1
Mahdi Zolfaghari 2
1 Faculty Member, Department of Electrical Engineering, Technical and Vocational University, (TVU), Tehran, Iran.
2 Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
10.48301/kssa.2023.392193.2510
Abstract
High impedance fault (HIF) detection is one of the major challenges in power distribution networks. HIF usually occurs when conductors in the distribution network are broken and touch the ground or a tree branch. The current of this fault is close to the load current level and cannot be detected by over-current relays. In the present paper, a new method for detecting HIF from other similar phenomena in the distribution network such as capacitor switching, load switching, inrush current and CT saturation is presented. The proposed method uses morphological gradient edge detection (MGED) to process voltage signals. Using MGED, the edges or transient changes in the signal and its features after two cycles from the beginning of the fault were extracted. Based on these features, a fault detection index (FDI) was introduced for distinguishing and classifying HIF, capacitor switching, load switching, inrush current and CT saturation. The simulation results for different HIF fault conditions and similar phenomena in a 20 kV sample feeder and IEEE 34 bus distribution system in EMTP software environment confirmed the fast and accurate performance of the proposed method.
Keywords
High Impedance Fault
Mathematical Morphology
Distribution Network
Subjects
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Karafan Journal
Volume 21, Issue 1 - Serial Number 66
Engineering & Technical
Spring 2024
Pages 241-267

  • Receive Date 11 April 2023
  • Revise Date 29 May 2023
  • Accept Date 02 July 2023