scholarly journals High-Impedance Faults in Power Distribution Systems: A Narrative of the Field's Developments

2020 ◽  
Author(s):  
Douglas Pinto Sampaio Gomes ◽  
Cagil Ozansoy
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Historical Narrative ◽  
Power Distribution Systems ◽  
Knowledge Gaps ◽  
High Impedance ◽  
High Impedance Faults

High-impedance faults in power distribution systems is a lasting problem with decades of steady investigation. Due to the complexity of the problem, the field can also be challenging to navigate. Although there exist surveys of the field in the literature, it is not easy to find a comprehensive contextualization of how and when the field developments unfolded. This paper presents the historical narrative of the progress and developments based on the most cited papers since the inception of the field. The accounts are not limited to archaic and obsolete works. They are all contextualized from the seminal papers to contemporary methods and related technology. Quantitative figures on the survey of the methods and relevant knowledge gaps are also discussed at the closing of the paper.

scholarly journals Vegetation High-Impedance Faults' High-Frequency Signatures via Sparse Coding

2019 ◽  
Author(s):  
Douglas Pinto Sampaio Gomes ◽  
Cagil Ozansoy ◽  
Anwaar Ulhaq
Keyword(s):  
Sparse Coding ◽  
Power Distribution ◽  
High Frequency ◽  
Distribution Systems ◽  
Power Distribution Systems ◽  
Data Set ◽  
High Impedance ◽  
Fault Currents ◽  
High Impedance Faults ◽  
Processing Techniques

The behavior of High-Impedance Faults (HIFs) in power distribution systems depends on multiple factors, making it a challenging disturbance to model. If enough data from real staged faults is provided, signal processing techniques can help reveal patterns from a specific type of fault. Such a task is implemented herein by employing the Shift-Invariant Sparse Coding (SISC) technique on a data set of staged vegetation high-impedance faults. The technique facilitates the uncoupling of shifted and convoluted patterns present in the recorded signals from fault tests. The deconvolution of these patterns was then individually studied to identify the possible repeating fault signatures. The work is primarily focused on the investigation of the under-discussed high-frequency faults signals, especially regarding voltage disturbances created by the fault currents. Therefore, the main contribution from this paper is the resulted evidence of consistent behavior from real vegetation HIFs at higher frequencies. These results can enhance phenomena awareness and support future methodologies dealing with these disturbances.

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