A New High-Impedance-Fault Detection Method to Prevent Power-Line-Induced Wildfires
High Impedance Faults (HIFs) occur when energized power lines come into contact with high impedance ground surfaces, such as tree branches and grassland. HIFs have the potential to cause arcing, leading to vegetation ignition and the initiation of wildfires. The challenge in detecting HIFs comes from the high impedance of the partially conductive materials in contact with the power lines. They create a fault current of low magnitude and traditional protective devices struggle to detect such faults. This paper proposes a novel HIF detection algorithm based upon the analyzed arcing signatures associated with HIFs. The algorithm is evaluated using the Australian Public Bushfire Safety Program (PBSP) dataset. For comparative analysis, a state-of-the-art commercial HIF detection product is also evaluated using the same dataset. The proposed algorithm demonstrates higher detection accuracy over the commercial products with fewer false flags and undetected faults.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE National Renewable Energy Laboratory (NREL)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2372883
- Report Number(s):
- NREL/CP-5C00-90204; MainId:91982; UUID:658d003d-a29a-4c15-b436-90c119fe2a14; MainAdminId:72801
- Country of Publication:
- United States
- Language:
- English
Approaches in High Impedance Fault Detection - A Chronological Review
|
journal | January 2010 |
Modified FFT based high impedance fault detection technique considering distribution non-linear loads: Simulation and experimental data analysis
|
journal | January 2018 |
Detection of high-impedance faults in power distribution systems
|
conference | March 2007 |
High impedance fault detection methodology using wavelet transform and artificial neural networks
|
journal | July 2011 |
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