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: 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 jan. 2026. -
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 2026 jan. 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 2026 jan. 01 ] Available from: https://doi.org/10.1016/j.epsr.2023.109532 - Insights and challenges on the protection of grid-forming converter interconnection lines
- Impacts of advances in standards for inverter-based resources controls on distance protection
- Maturity analysis of protection solutions for power systems near inverter-based resources
- Pseudo-incremental normalized quantity-based phase selection method for systems with conventional and inverter-based resources
- An impedance-multi-method-based fault location methodology for transmission lines connected to inverter-based resources
- Importance of EMT-type simulations for protection studies in power systems with inverter-based resources
- Effects of system stray capacitances on overcurrent and directional traveling wave protections applied to lines near inverter-based resources
- A review of signal processing for fault diagnosis in systems with inverter-based resources and an improved high-frequency component-based disturbance detector
- Impacts of inverter-interfaced wind power plants in the phase-selection and directional protection functions
- Assessment of traveling wave-based functions in inverter-based resource interconnecting lines
Informações sobre o DOI: 10.1016/j.epsr.2023.109532 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
1-s2.0-S0378779623004212-... |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
