Short circuit tests for detection of high impedance faults

2005 ◽  
Author(s):  
E.J. Rufato ◽  
C.C.B. de Oliveira
Keyword(s):  
Short Circuit ◽  
High Impedance ◽  
High Impedance Faults

scholarly journals Analysis of High Impedance Faults Current Using Fourier, Wavelet and Stockwell Transforms

2020 ◽  
Author(s):  
Gabriela N. Lopes ◽  
Luiz H. P. C. Trondoli ◽  
José Carlos M. Vieira
Keyword(s):  
Distribution Systems ◽  
Test Field ◽  
Medium Voltage ◽  
Detection Techniques ◽  
Promising Tool ◽  
High Impedance ◽  
Random Behavior ◽  
Key Characteristics ◽  
High Impedance Faults ◽  
High Degree

Detection of high impedance faults (HIFs) in distribution systems is a challenging task, which has attracted the interest of the researchers for decades. The HIF current random behavior and its lowmagnitude cause difficulties for a reliable detection by traditional protection methods. Therefore, the hazards for grid devices, people and animals safety, associated with HIFs, motivate the research of new detection techniques. However, there is no fully efficient solution for this problem. In this context, this paper aimed to characterize HIFs by a set of real measurements considering different type of soils employing Fourier (FT), Wavelet (WT) and Stockwell Transforms (ST). The measurements were performed at the fault spot in a medium voltage test field specially built for this purpose. The idea is to highlight key characteristics of the HIF current waveforms pointed out by each of transform and assess which ones can be used as a promising tool for HIF detection. The results showed that the HIF current can be characterized by the interharmonic behavior during the fault, extracted by FT and by the high degree of energy variations at specific decomposition levels of WT and ST.

DT-CWT based event feature extraction for high impedance faults detection in distribution system

2014 ◽  
Vol 25 (12) ◽  
pp. 3288-3303 ◽  
Author(s):  
Zahra Moravej ◽  
Seyed Hamid Mortazavi ◽  
Seyed Mohammad Shahrtash
Keyword(s):  
Feature Extraction ◽  
Distribution System ◽  
High Impedance ◽  
High Impedance Faults

Using Positive and Negative Sequence Components of Currents and Voltages for High Impedance Fault Analysis via ANFIS

2012 ◽  
Vol 1 (4) ◽  
pp. 132-157 ◽  
Author(s):  
Mohamed M. Ismail ◽  
M. A. Moustafa Hassan
Keyword(s):  
Distribution System ◽  
Electrical Contact ◽  
Design Procedure ◽  
Fault Analysis ◽  
Foreign Object ◽  
Inference System ◽  
Negative Sequence ◽  
High Impedance ◽  
Sequence Components ◽  
High Impedance Faults

High Impedance Faults are defined as unwanted electrical contact between an energized conductor and a non-conducting foreign object. Non-conducting foreign object present high impedances to current flow due to their material, so a fault of this type will not appear to the classical protection equipment as abnormal conditions. Presented is an approach for detection, classification, and location of high impedance faults in a distribution system using Adaptive Neuro Fuzzy Inference System (ANFIS) based on positive and negative sequence components of voltages and currents. The proposed scheme was trained by data from simulation of a distribution system under different faults conditions and different distances in a short and long transmission lines. Details of the design procedure and the results of performance using the proposed method are discussed in this paper.

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