An Improved Methodology to Locate Faults in Onshore Wind Farm Collector Systems

This paper explores the growing integration of Inverter-Based Resources (IBRs) into power systems and their effects on fault diagnosis strategies. Notably, the technical literature lacks assessments of the impacts and proposals for solutions for phasor-based fault location tasks, considering faults occurring within wind power plants, i.e., in their collector systems. In this context, this study evaluates the performance of six state-of-the-art phasor-based fault location methods, which are tested through simulations in a realistic wind farm modeled using PSCAD software. These simulations cover a wide range of fault scenarios, including variations in fault types, resistances, inception angles, locations, and wind farm generation levels. The proposed methodology, which combines the various fault location methods tailored to specific fault types, results in a substantial improvement, achieving an average fault location error of 1.89%, reflecting a 92% reduction in error compared to conventional methods. Additionally, the approach consistently maintains low fault location errors across collector busbars, regardless of circuit topology, highlighting its robustness, adaptability, and potential for widespread implementation in fault diagnosis systems within wind farms.

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Publication Details

Journal
Energies
Published
2025-02-03
DOI
https://doi.org/10.3390/en18030693
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
1.21

Funders

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article

An Improved Methodology to Locate Faults in Onshore Wind Farm Collector Systems

Talita M. O. A. Cunha, C. V. C. Grilo, Moisés J. B. B. Davi, Mário Oleskovicz et al.
1 citations
Energies
Power Systems Fault Detection
1.21
article

An Improved Methodology to Locate Faults in Onshore Wind Farm Collector Systems

Talita M. O. A. Cunha, C. V. C. Grilo, Moisés J. B. B. Davi, Mário Oleskovicz, Leonardo Lessa, Denis V. Coury, Alailton J. Alves Junior
article en
1 citations

Abstract

This paper explores the growing integration of Inverter-Based Resources (IBRs) into power systems and their effects on fault diagnosis strategies. Notably, the technical literature lacks assessments of the impacts and proposals for solutions for phasor-based fault location tasks, considering faults occurring within wind power plants, i.e., in their collector systems. In this context, this study evaluates the performance of six state-of-the-art phasor-based fault location methods, which are tested through simulations in a realistic wind farm modeled using PSCAD software. These simulations cover a wide range of fault scenarios, including variations in fault types, resistances, inception angles, locations, and wind farm generation levels. The proposed methodology, which combines the various fault location methods tailored to specific fault types, results in a substantial improvement, achieving an average fault location error of 1.89%, reflecting a 92% reduction in error compared to conventional methods. Additionally, the approach consistently maintains low fault location errors across collector busbars, regardless of circuit topology, highlighting its robustness, adaptability, and potential for widespread implementation in fault diagnosis systems within wind farms.

EnergiesVol. 18(3)
Universidade de São Paulo (BR)
Research Centre for Gas Innovation, Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade de São Paulo, Total
Affordable and clean energy
Openalex Percentile: Top 25%
Power Systems Fault Detection
1.21
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