A Decentralized Fault Detection Technique for Detecting Single Phase to Ground Faults in Power Distribution Systems With Resonant Grounding

Barik, M. A.; Gargoom, Ameen; Mahmud, M. A.; Haque, M. E.; Al-Khalidi, Hassan; Oo, Amanullah Maung Than

doi:10.1109/tpwrd.2018.2799181

Cited by 111 publications

(55 citation statements)

References 12 publications

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“…Owing to the richness and stability of transient fault signal features, the detection methods employed in RG systems are mainly the passive detection based on transient signals. Primary examples of detection methods employing these features include the wavelet transform (WT) [7]- [10], Hibert-Huang transform (HHT) [11], [12], S-transform (ST) [13]- [18], Prony algorithm [19], [20], mathematical morphology (MM) [21]- [23], fuzzy c-means (FCM) clustering [24], [25], and support vector machine (SVM) [26], [27]. Each of these techniques have pros and cons as listed in Table 1.…”

Section: A Previous Related Workmentioning

confidence: 99%

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

et al. 2020

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Fault detection in resonant grounding (RG) distribution networks remains a challenge due to weak fault signals, extremely complex fault conditions, and unstable intermittent arc grounding faults. This paper addresses this issue by applying generalized S-transform (GST) with a variable factor to conduct denoising of transient zero-sequence currents based on threshold filtering followed by time-frequency distribution filtering in sequence. Meanwhile, this paper proposes a comprehensive multi-criteria faulty feeder detection method based on the transient zero-sequence current polarity (criterion 1), the energy relative entropy (criterion 2), and the total transient current energy (criterion 3). Here, criteria 2 and 3 are based on the time-frequency representation of the GST. The performances of the proposed denoising and faulty feeder detection methods are evaluated under single line to ground faults based on simulations conducted using a modeled 10 kV RG networks with overhead and cable mixed lines in addition to reasonably sophisticated permanent and intermittent arc discharge models to ensure that the simulations faithfully represent actual complex working conditions. Compared with existing method, simulation experiments and field test show that the method proposed in this paper provide a better denoising effect with stronger self-adaptability, higher detection accuracy, and a faster calculation speed. INDEX TERMS Fault detection, resonant grounding distribution networks, generalized S-transform, variable factor, denoising method, intermittent arc grounding fault, multi-criteria.

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Section: A Previous Related Workmentioning

confidence: 99%

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

et al. 2020

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“…Algorithms based on theory of Big Data: Barik et al (2018) uses big data theory for detecting faulty feeders by making use of a mass of data from the grid which contains of both electrical and non-electrical quantities.…”

Section: Algorithms Based On the Grey Relation Degreementioning

confidence: 99%

Methods in Single Phase to Ground Faults on Power Distribution Systems

Soomro¹,

Tawafan²,

Jabbar³

2019

J. Eng. Appl. Sci.

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This study highlights the main contributions for the single phase to ground faults on distribution networks field throughout a last three decades from classic methods to heuristic methods. The surveys about 76 papers that are published in the field, the quantity of existing methods for each method is determined and categorized. The study includes graphs and tables explaining the frequency of each single phase to ground faults methods and so that, researchers in the same field can be used this paper as a guideline for their research.

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“…Recent efforts are devoted to proposing impedance-based location methods in distribution systems [8], [15] - [21]. For instance, the authors of [17] and [18] proposed the fault location methods focusing on single-phase to ground faults. However, DGs are not considered in the test feeders of [17], while [18] can only localize a faulted area, rather than yielding an exact faulted line.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, the authors of [17] and [18] proposed the fault location methods focusing on single-phase to ground faults. However, DGs are not considered in the test feeders of [17], while [18] can only localize a faulted area, rather than yielding an exact faulted line. Emerging works are applying μPMU measurements to fault location by constructing generalized impedance-based location methods [8], [19] - [21].…”

Section: Introductionmentioning

confidence: 99%

Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems

Zhang

Wang

Khodayar

2020

IEEE Trans. Smart Grid

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Motivated by increasing penetration of distributed generators (DGs) and fast development of micro-phasor measurement units (μPMUs), this paper proposes a novel graphbased faulted line identification algorithm using a limited number of μPMUs in distribution networks. The core of the proposed method is to apply advanced distribution system state estimation (DSSE) techniques integrating μPMU data to the fault location. We propose a distributed DSSE algorithm to efficiently restrict the searching region for the fault source in the feeder between two adjacent μPMUs. Based on the graph model of the feeder in the reduced searching region, we further perform the DSSE in a hierarchical structure and identify the location of the fault source. Also, the proposed approach captures the impact of DGs on distribution system operation and remains robust against highlevel noises in measurements. Numerical simulations verify the accuracy and efficiency of the proposed method under various fault scenarios covering multiple fault types and fault impedances.

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A Decentralized Fault Detection Technique for Detecting Single Phase to Ground Faults in Power Distribution Systems With Resonant Grounding

Cited by 111 publications

References 12 publications

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks

Methods in Single Phase to Ground Faults on Power Distribution Systems

Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems

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