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

3Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

Abstract

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.

Cite

CITATION STYLE

APA

Huaquisaca Paye, J. C., Vieira, J. P. A., Tabora, J. M., Leão, A. P., Cordeiro, M. A. M., Junior, G. C., … Farias, P. E. (2024, March 1). High Impedance Fault Models for Overhead Distribution Networks: A Review and Comparison with MV Lab Experiments. Energies. Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/en17051125

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free