High impedance fault detection on rural electric distribution systems

Vico, Jakov; Adamiak, Mark; Wester, Craig; Kulshrestha, Ashish

doi:10.1109/repcon.2010.5476205

Cited by 25 publications

(8 citation statements)

References 1 publication

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“…The former measures the sensitivity of the detection criterion developed; it is calculated by recording the success rate in detecting the occurrence of a HIF. The latter measures the security of the detection criterion; it is calculated as the rate of mistakenly categorising other transient events as HIF [32]. They are defined as:

Detection rate = \frac{Number of HIF detected}{Total number of actual HIF events} \times 100 %

\begin{matrix} right leftthickmathspace.5em \\ Discrimination rate \\ = [1 - \frac{Number of other events incorrectly diagnosed as HIF}{Total number of other events}] \times 100 % \end{matrix}

The detection rate was calculated based on 200 sets of HIF data.…”

Section: Analysis and Resultsmentioning

confidence: 99%

Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

Chen

Phung

Blackburn

et al. 2016

IET gener. transm. distrib.

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Detection rate = \frac{Number of HIF detected}{Total number of actual HIF events} \times 100 %

\begin{matrix} right leftthickmathspace.5em \\ Discrimination rate \\ = [1 - \frac{Number of other events incorrectly diagnosed as HIF}{Total number of other events}] \times 100 % \end{matrix}

The detection rate was calculated based on 200 sets of HIF data.…”

Section: Analysis and Resultsmentioning

confidence: 99%

Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

Chen

Phung

Blackburn

et al. 2016

IET gener. transm. distrib.

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“…When an electrical conductor unintentionally comes into contact with a highly resistive medium, it creates what is commonly referred to as a high-impedance fault (HIF). HIFs can be classified into two main types: active and passive, the latter of which occurs in underground conductor insulation deuteriation over a period of time [6], and the other occurs when an overhead conductor 2 of 18 breaks and touches highly resistive ground, creating an immediate transient arc [7,8]. The current levels of the resulting phenomena are marginally higher than the normal drawn ampere from the load, hence deeming them impossible to be detected by conventional overcurrent relays [9][10][11][12][13][14][15][16].…”

Section: Definitionmentioning

confidence: 99%

High-Impedance Fault Diagnosis: A Review

Aljohani

Habiballah

2020

Energies

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High-impedance faults (HIFs) represent one of the biggest challenges in power distribution networks. An HIF occurs when an electrical conductor unintentionally comes into contact with a highly resistive medium, resulting in a fault current lower than 75 amperes in medium-voltage circuits. Under such condition, the fault current is relatively close in value to the normal drawn ampere from the load, resulting in a condition of blindness towards HIFs by conventional overcurrent relays. This paper intends to review the literature related to the HIF phenomenon including models and characteristics. In this work, detection, classification, and location methodologies are reviewed. In addition, diagnosis techniques are categorized, evaluated, and compared with one another. Finally, disadvantages of current approaches and a look ahead to the future of fault diagnosis are discussed.

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“…The method of high impedance fault detection is generally categorized into mechanical and electrical detection techniques. The mechanical method of detection involves forcing the line to touch down with a solid ground to permit the operation of overcurrent protection (Vico et al, 2010) while the electrical method involves the use of classical or heuristical approaches. The classical approach is made up of wavelet transform, high-frequency spectrum, and low order harmonics while the heuristical method comprises expert system, neural network, neur-fuzzy network, fuzzy logic, and generic algorithm (Sedighizadeh et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

High impedance fault arc analysis on 11 kV distribution networks

A.I.¹,

Amako²,

Ezeonye³

2022

Nig. J. Technol. Dev.

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This paper presents a study of high impedance fault (HIF) arc analysis on 6 km 11 kV distribution network from New Haven to New NNPC, Enugu State. These HIF currents have low fault current ratings and are not readily detected by the distribution sub-station relays and protective equipment. This was realized with the aid of MATLAB. Firstly, the HIF was modelled based on the electric arc theory method for single line-to-ground and double line-to-ground faults, when the 11 kV New-haven to New NNPC Enugu distribution line interfaces with a dry asphalt ground surface. The HIF was incident on the midpoint of the distribution line between the switching times of the circuit breaker from 0.02 to 0.05 seconds. The results showed that for single line-to-ground and double line-to-ground faults, a peak current magnitude of 12.4 A and 2280 A were seen respectively and initial spikes due to arcing in the system voltages at the initial switching times of 0.02 seconds. The corresponding residual currents Ib and Ic are very small with a peak spike of 0.3 A and 1.9 A for double line-to-ground fault (BC-G). These spikes are because of the impact of the initial transients caused by the arc flames as its quenches and re-ignites.

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High impedance fault detection on rural electric distribution systems

Cited by 25 publications

References 1 publication

Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

Detection of high impedance faults using current transformers for sensing and identification based on features extracted using wavelet transform

High-Impedance Fault Diagnosis: A Review

High impedance fault arc analysis on 11 kV distribution networks

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