A fault‐model‐free method based on zero‐crossings for locating high‐impedance faults in overhead distribution networks
Abstract High‐impedance faults (HIFs) location is an increasingly relevant reliability issue in the power distribution industry. The development of practical and accurate one‐terminal HIF‐locating methods is vital for reducing long‐duration outage restoration time and cost. However, the dependency on the estimation of both fault model parameters and fault current signal can jeopardize the accuracy and practicality of existing one‐terminal HIF‐locating methods. This paper proposes a one‐terminal fault‐model‐free iterative method based on zero‐crossings for locating HIFs in overhead distriFbution networks. Two insights into voltage signal relationships are provided to eliminate the need for estimating fault model parameters and the fault current signal in the HIF‐locating process. The first one is based on zero‐crossings of the calculated voltage drop signal for estimating two parameters of the voltage signal on the fault point. The other insight is based on the zero‐crossing of the voltage signal on the fault point, in which the two parameters were previously estimated, for calculating the fault distance from the k th node. Simulation results on a modified IEEE 34‐node test feeder validate the high accuracy and robustness of the proposed method, considering the effect of several factors on fault distance estimation. In addition, the method convergence performance is assessed.
Authors
- Adriano Peres de Morais (ORCID: https://orcid.org/0000-0001-8923-330X)
- Patrick Escalante Farias
- Mairon Gallas (ORCID: https://orcid.org/0000-0002-9070-5260)
- André Pinto Leão
- Ghendy Cardoso (ORCID: https://orcid.org/0000-0002-1423-6968)
- João Paulo Abreu Vieira (ORCID: https://orcid.org/0000-0002-6987-2654)
- Juan Carlos Huaquisaca Paye (ORCID: https://orcid.org/0000-0002-3359-797X)
- Marcelo Costa Santos (ORCID: https://orcid.org/0000-0002-2352-2050)
Institutions
- Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul (BR)
- Universidade Federal de Santa Maria (BR)
- Amazon Research Foundation (BR)
- Instituto Federal Farroupilha (BR)
- Universidade Federal do Pará (BR)
Publication Details
- Journal
- IET Generation Transmission & Distribution
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/gtd2.13353
- Primary Topic
- Power Systems Fault Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00