An improved methodology to locate faults in onshore wind farm collector systems (2025)
- Authors:
- USP affiliated authors: OLESKOVICZ, MARIO - EESC ; COURY, DENIS VINICIUS - EESC ; DAVI, MOISÉS JUNIOR BATISTA BORGES - EESC ; ALVES JÚNIOR, ALAILTON JOSÉ - EESC ; GRILO, CAIO VINÍCIUS COLOZZO - EESC ; CUNHA, TALITA MITSUE ONOSE ARAUJO - EESC ; LESSA, LEONARDO DA SILVA - EESC
- Unidade: EESC
- DOI: 10.3390/en18030693
- Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA; FONTES NÃO RENOVÁVEIS DE ENERGIA; EFICIÊNCIA ENERGÉTICA; FALHA; ENGENHARIA ELÉTRICA
- Language: Inglês
- Imprenta:
- Publisher place: Basel, Switzerland
- Date published: 2025
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
-
ABNT
DAVI, Moisés Junior Batista Borges et al. An improved methodology to locate faults in onshore wind farm collector systems. Energies, v. 18, n. 3, p. 1-16, 2025Tradução . . Disponível em: https://dx.doi.org/10.3390/en18030693. Acesso em: 28 dez. 2025. -
APA
Davi, M. J. B. B., Alves Junior, A., Grilo, C. V. C., Cunha, T. M. O. A., Lessa, L. da S., Oleskovicz, M., & Coury, D. V. (2025). An improved methodology to locate faults in onshore wind farm collector systems. Energies, 18( 3), 1-16. doi:10.3390/en18030693 -
NLM
Davi MJBB, Alves Junior A, Grilo CVC, Cunha TMOA, Lessa L da S, Oleskovicz M, Coury DV. An improved methodology to locate faults in onshore wind farm collector systems [Internet]. Energies. 2025 ; 18( 3): 1-16.[citado 2025 dez. 28 ] Available from: https://dx.doi.org/10.3390/en18030693 -
Vancouver
Davi MJBB, Alves Junior A, Grilo CVC, Cunha TMOA, Lessa L da S, Oleskovicz M, Coury DV. An improved methodology to locate faults in onshore wind farm collector systems [Internet]. Energies. 2025 ; 18( 3): 1-16.[citado 2025 dez. 28 ] Available from: https://dx.doi.org/10.3390/en18030693 - Exploring machine learning techniques for fault classification in wind farm collectors
- Enhancing power grid reliability: evaluating machine learning algorithms for fault classification in inverter-based generators interconnection lines
- Improving fault location in wind farm interconnection lines through fault resistance estimation
- EMD-denoising signal applied to traveling wave-based fault location in radial distribution systems
- Fault location in radial distribution systems: comparative analysis for decomposition tools using traveling waves
- Insights and recommendations for the assessment and design of fault diagnosis methods applied to modern distribution systems
- Exploring machine learning-based solutions for fault classification and region identification in onshore wind farm collector systems
- Challenges and recommendations for enhancing protection of onshore wind farm collector systems
- Impacts of advances in standards for inverter-based resources controls on distance protection
- Insights and challenges on the protection of grid-forming converter interconnection lines
Informações sobre o DOI: 10.3390/en18030693 (Fonte: oaDOI API)
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