High-impedance fault detection on downed conductor in overhead distribution networks

Wontroba, Aldair; Morais, Adriano Peres de; Cardoso, Ghendy; Vieira, Joao Paulo Abreu; Farias, Patrick Escalante; Gallas, Mairon; Rossini, Jean Pereira

doi:10.1016/j.epsr.2022.108216

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…Wontroba et al [ 21 ] proposed a methodology based on the analysis of harmonic and symmetrical components of currents to detect HIF due to cable break. HIF detection process has two steps: (i) cable break detector and (ii) HIF detector.…”

Section: Introductionmentioning

confidence: 99%

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

Santos

Faria

Lopes

et al. 2022

Sensors

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Fault detection and classification are crucial procedures for electric power distribution systems because they can minimize the occurrence of faults. The methods for fault detection and classification have become more problematic because of the significant expansion of distributed energy resources in distribution systems and the change in their currents due to the action of short-circuiting. In this context, to fill this gap, this study presents a robust methodology for short-circuit fault detection and classification with the insertion of distributed generation units. The proposal methodology progresses in two stages: in the former stage, the detection is based on the continuous analysis of three-phase currents, whose characteristics are extracted through maximal overlap discrete wavelet transform. In the latter stage, the classification is based on three fuzzy inference systems to identify the phases with disturbance. The short-circuit type is identified by counting the shorted phases. The algorithm for short-circuit fault detection and classification is developed in MATLAB programming environment. The methodology is implemented in a modified IEEE 34-bus test system and modeled in ATPDraw with three scenarios with and without distributed generation units and considering the following parameters: fault type (single-phase, two-phase, and three-phase), angle of incidence, fault resistance (high impedance fault and low impedance fault), fault location bus, and distributed generation units (synchronous generators and photovoltaic panels). The accuracy is greater than 94.9% for the detection and classification of short-circuit faults for more than 20,000 simulated cases.

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Section: Introductionmentioning

confidence: 99%

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

Santos

Faria

Lopes

et al. 2022

Sensors

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“…Build-up: HIF current magnitude gradually increases up to its maximum value. This is due to: (a) the physical accommodation of the cable in the soil, since the cable can move or settle into the soil [12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]; and (b) the arc penetrates the soil surface and causes soil ionization, increasing the effective area of the equivalent electrode [30].…”

mentioning

confidence: 99%

High Impedance Fault Models for Overhead Distribution Networks: A Review and Comparison with MV Lab Experiments

Huaquisaca Paye,

Vieira,

Tabora

et al. 2024

Energies

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Detecting and locating high impedance faults (HIF) in overhead distribution networks (ODN) remains one of the biggest challenges for manufacturers and researchers due to the complexity of this phenomenon, where the electrical current magnitude is similar to that of the loads. To simulate HIF, the selection of the HIF model is important, because it has to correctly reproduce the characteristics of this phenomenon, so that it does not negatively influence the simulations results. Therefore, HIF models play a fundamental role in proposing solutions and validating the effectiveness of the proposed methods to detect and localize HIF in ODN. This paper presents a systematic review of HIF models. It is intended to facilitate the selection of the HIF model to be considered. The models are validated based on experimental data from medium voltage (MV) laboratories, specifically, recorded waveforms from two HIF tests conducted in an MV lab were analyzed and compared with three established HIF models. The efficacy of these models was assessed against MV lab test data to ensure a precise representation of both transient and steady-state conditions for fault conductance and current waveforms. The findings show that the two nonlinear resistor models better approximate the waveforms obtained in the experimental tests performed in this study.

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“…Com uma taxa de acerto de 90%, os autores de Wontroba et al (2022) utilizam, além de outros indicadores, a relação de que o terceiro harmônico deve ser maior que 3% do valor da fundamental. Além do limiar ser determinístico, o algoritmo não foi testado com sinais de falta reais, com cargas não lineares ou na presença de GD.…”

Section: Métodos De Detecção De Falta De Alta Impedânciaunclassified

Detecção de faltas de alta impedância do tipo fase-terra em sistemas de distribuição: uma abordagem baseada em sua progressão no domínio do tempo e da frequência

Trondoli¹

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Em primeiro lugar, agradeço ao professor José Carlos de Melo Vieira Júnior, que enriqueceu meu vocabulário com novos significados para a palavra orientar. Obrigado pela confiança, liderança, discussões relevantes e empatia durante todo o processo.Agradeço a todos os integrantes do grupo de estudos de faltas de alta impedância, em especial à Gabriela Nunes Lopes, por participar ativamente nas simulações, discussões e revisão do texto desta tese.Ao Thiago Souza Menezes o meu agradecimento por ter contribuído nas simulações dos eventos que me possibilitaram aperfeiçoar o algoritmo proposto nesta tese. Ainda, por aprimorar o modelo em LaTeX e disponibilizá-lo para a comunidade acadêmica.

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High-impedance fault detection on downed conductor in overhead distribution networks

Cited by 8 publications

References 22 publications

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

Efficient Methodology for Detection and Classification of Short-Circuit Faults in Distribution Systems with Distributed Generation

High Impedance Fault Models for Overhead Distribution Networks: A Review and Comparison with MV Lab Experiments

Detecção de faltas de alta impedância do tipo fase-terra em sistemas de distribuição: uma abordagem baseada em sua progressão no domínio do tempo e da frequência

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