Direct comparison of sampling methods for a look-ahead based approach to probability estimation of voltage security margin violations (2025)
- Authors:
- USP affiliated authors: ASADA, EDUARDO NOBUHIRO - EESC ; RAMOS, RODRIGO ANDRADE - EESC
- Unidade: EESC
- DOI: 10.1109/ISGTLA64895.2025.11371287
- Subjects: SISTEMAS ELÉTRICOS DE POTÊNCIA; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway, NJ, USA
- Date published: 2025
- Source:
- Título: Proceedings
- Conference titles: IEEE PES Conference on Innovative Smart Grid Technologies - ISGT Latin America
-
ABNT
ALVES, Camila et al. Direct comparison of sampling methods for a look-ahead based approach to probability estimation of voltage security margin violations. 2025, Anais.. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2025. Disponível em: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371287. Acesso em: 25 mar. 2026. -
APA
Alves, C., Muniz, J. R., Fernandes, A., Asada, E. N., & Ramos, R. A. (2025). Direct comparison of sampling methods for a look-ahead based approach to probability estimation of voltage security margin violations. In Proceedings. Piscataway, NJ, USA: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1109/ISGTLA64895.2025.11371287 -
NLM
Alves C, Muniz JR, Fernandes A, Asada EN, Ramos RA. Direct comparison of sampling methods for a look-ahead based approach to probability estimation of voltage security margin violations [Internet]. Proceedings. 2025 ;[citado 2026 mar. 25 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371287 -
Vancouver
Alves C, Muniz JR, Fernandes A, Asada EN, Ramos RA. Direct comparison of sampling methods for a look-ahead based approach to probability estimation of voltage security margin violations [Internet]. Proceedings. 2025 ;[citado 2026 mar. 25 ] Available from: https://dx.doi.org/10.1109/ISGTLA64895.2025.11371287 - Voltage magnitude and voltage stability margin optimization through allocation and sizing of SVCs via VNS algorithm
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