Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines (2023)
- Authors:
- USP affiliated authors: OLESKOVICZ, MARIO - EESC ; DAVI, MOISÉS JUNIOR BATISTA BORGES - EESC
- Unidade: EESC
- DOI: 10.1016/j.epsr.2023.109532
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROCESSAMENTO DE SINAIS; CONVERSORES ELÉTRICOS; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Elsevier
- Publisher place: Amsterdam, Netherlands
- Date published: 2023
- Source:
- Título do periódico: Electric Power Systems Research
- ISSN: 0378-7796
- Volume/Número/Paginação/Ano: v. 223, Article number 109532, p. 1-9, 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
DAVI, Moisés Junior Batista Borges e OLESKOVICZ, Mario e LOPES, Felipe V. Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines. Electric Power Systems Research, v. 223, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.epsr.2023.109532. Acesso em: 01 jun. 2024. -
APA
Davi, M. J. B. B., Oleskovicz, M., & Lopes, F. V. (2023). Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines. Electric Power Systems Research, 223, 1-9. doi:10.1016/j.epsr.2023.109532 -
NLM
Davi MJBB, Oleskovicz M, Lopes FV. Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines [Internet]. Electric Power Systems Research. 2023 ; 223 1-9.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1016/j.epsr.2023.109532 -
Vancouver
Davi MJBB, Oleskovicz M, Lopes FV. Exploring the potential of a machine learning-based methodology for fault classification in inverter-based resource interconnection lines [Internet]. Electric Power Systems Research. 2023 ; 223 1-9.[citado 2024 jun. 01 ] Available from: https://doi.org/10.1016/j.epsr.2023.109532 - Importance of EMT-type simulations for protection studies in power systems with inverter-based resources
- Impacts of advances in standards for inverter-based resources controls on distance protection
- Assessment of traveling wave-based functions in inverter-based resource interconnecting lines
- Impacts of inverter-interfaced wind power plants in the phase-selection and directional protection functions
- An impedance-multi-method-based fault location methodology for transmission lines connected to inverter-based resources
- Classificação de faltas em linhas de interconexão de gerações baseadas em inversores: desvendando o potencial dos métodos de machine learning
- A case study-based review of the impacts of inverter-interfaced wind power plants on distance protections
- Parametric analysis of phasor-based fault location methods applied to inverter-based resource interconnection lines
- Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: insights and recommendations
- Metodologia de análise da proteção de distância para testes em um relé digital
Informações sobre o DOI: 10.1016/j.epsr.2023.109532 (Fonte: oaDOI API)
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