High Impedance Fault Location in Transmission Line Using Nonlinear Frequency Analysis

Chen, Minyou; Zhai, Jia; Lang, Zi–Qiang; Liao, Ju-Cheng; Fan, Zhaoyong

doi:10.1007/978-3-642-15621-2_13

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…HIF detection and identification are essential, and locating the fault accurately is the next step. Many methods are used for locating HIFs, such as the matching technique (Ali et al, 2014), intelligent algorithms (Chen et al, 2016), synchronized harmonic phasors (Farajollahi et al, 2017), phase shift measurement of a highfrequency magnetic field (Bahador et al, 2018), the advanced distortion detection technique (Bhandia et al, 2020), smart meters (Radhakrishnan, 2019), power line communication systems (Milioudis et al, 2012), and power line carriers (Chen et al, 2010), which will be elaborated in this section. A transient power direction-based method is used for locating HIFs in MV distribution systems, as proposed by Elkalashy et al (2008).…”

Section: Locating High Impendence Faultsmentioning

confidence: 99%

Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems

Subathra

George

et al. 2023

Front. Energy Res.

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High-impedance fault (HIF) is always a threat and the biggest challenge in the power transmission and distribution system (PTDS). For a PTDS to operate effectively, HIF diagnosis is essential. However, given the HIF’s nature and the involved complexity, detection, identification, and fault location are difficult. This will be even more complicated in conventional PTDSs as they are inefficient and highly vulnerable. Given the importance and urgent need for HIF diagnosis in PTDS, this study reviews state-of-the-art HIF phenomenon and detection techniques and proposes the use of “various signal processing techniques for fault feature extraction” and “ different classifiers for identifying HIF.” First, HIF current/voltage signals are analyzed using signal processing techniques, which include the discrete wavelet transform (DWT), pattern recognition, Kalman filtering, TT transform, mathematical morphology (MM), S transform (ST), fast Fourier transform (FFT), principal component analysis (PCA), linear discriminant analysis (LDA), and wavelet transforms, such as dual-tree, maximum overlap discrete wavelet transform (MODWT), and lifting wavelet transform (LWT). Second, the various HIF and non-HIF faults are classified using intelligent classifiers. The intelligent classifiers include artificial neural networks (ANNs), probabilistic neural networks (PNNs), genetic algorithms (GAs), fuzzy logic, adaptive neuro-fuzzy interface system, support vector machine (SVM), extreme learning machine (ELM), adaptive resonance theory, random forests (RFs), decision trees (DTs), and convolution neural networks (CNNs). In addition to the comparative discussion of various classifier techniques, their evaluation criterion and performance are prioritized. Third, this review also studied different test systems, such as radial distribution network, mesh distribution network, IEEE 4 node, IEEE 13 node feeder, IEEE 34 node feeder, IEEE 39 node feeder, IEEE 123 node feeder, Palash feeder, and test microgrid systems, to assess the pertinence of various HIF detection schemes and the behavior along with methods to locate the HIF. Overall, we believe this review would serve as a comprehensive compendium of advanced techniques for HIF diagnosis in different test systems.

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Section: Locating High Impendence Faultsmentioning

confidence: 99%

Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems

Subathra

George

et al. 2023

Front. Energy Res.

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“…The first approach is presented in [18] and [19], showing the principle of traveling waves with the wavelet transform. HIF generate a non-linearity in the EPS, particularity the one used by [20] to locate the fault point. These solutions are affected by extremely small current variations.…”

Section: Fault Location Related Workmentioning

confidence: 99%

High impedance fault modeling and location for transmission line✰

Doria-García

Orozco-Henao

Leborgne

et al. 2021

Electric Power Systems Research

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“…For a realistic HIF modeling, the transmission line equations (13)-(15) should be considered together with the arc model equation 1or (2). As a result, a system of a partial differential equation (15) and an ordinary nonlinear differential equation of the type (2) is obtained. Solving such a system of equations in general form is a real mathematical challenge due to the nonlinearity of (2).…”

Section: Lossless Transmission Linementioning

confidence: 99%

“…For HIF fault localization, techniques such as numerical algorithms [14], nonlinear frequency analysis [15], and recently, time domain studies [16] have been proposed. However, the authors consider that a complete solution to the problem of HIF detection and localization can be achieved only by a deep understanding of the interaction between the HIF and the transmission line.…”

Section: Introductionmentioning

confidence: 99%

Analytical Model for High Impedance Fault Analysis in Transmission Lines

Maximov

Torres

Ruiz

et al. 2014

Mathematical Problems in Engineering

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A high impedance fault (HIF) normally occurs when an overhead power line physically breaks and falls to the ground. Such faults are difficult to detect because they often draw small currents which cannot be detected by conventional overcurrent protection. Furthermore, an electric arc accompanies HIFs, resulting in fire hazard, damage to electrical devices, and risk with human life. This paper presents an analytical model to analyze the interaction between the electric arc associated to HIFs and a transmission line. A joint analytical solution to the wave equation for a transmission line and a nonlinear equation for the arc model is presented. The analytical model is validated by means of comparisons between measured and calculated results. Several cases of study are presented which support the foundation and accuracy of the proposed model.

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High Impedance Fault Location in Transmission Line Using Nonlinear Frequency Analysis

Cited by 4 publications

References 13 publications

Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems

Application of signal processing techniques and intelligent classifiers for high-impedance fault detection in ensuring the reliable operation of power distribution systems

High impedance fault modeling and location for transmission line✰

Analytical Model for High Impedance Fault Analysis in Transmission Lines

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