Computing the load margin of power systems using particle swarm optimization (2021)
- Authors:
- USP affiliated authors: RAMOS, RODRIGO ANDRADE - EESC ; BENTO, MURILO EDUARDO CASTEROBA - EESC
- Unidade: EESC
- DOI: 10.1109/TPEC51183.2021.9384941
- Subjects: POTENCIAL ELÉTRICO; SISTEMAS ELÉTRICOS; ENGENHARIA ELÉTRICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway, NJ, USA
- Date published: 2021
- Source:
- Título: Proceedings
- Conference titles: IEEE Texas Power and Energy Conference - TPEC
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BENTO, Murilo Eduardo Casteroba e RAMOS, Rodrigo Andrade. Computing the load margin of power systems using particle swarm optimization. 2021, Anais.. Piscataway, NJ, USA: IEEE, 2021. Disponível em: https://doi.org/10.1109/TPEC51183.2021.9384941. Acesso em: 05 nov. 2024. -
APA
Bento, M. E. C., & Ramos, R. A. (2021). Computing the load margin of power systems using particle swarm optimization. In Proceedings. Piscataway, NJ, USA: IEEE. doi:10.1109/TPEC51183.2021.9384941 -
NLM
Bento MEC, Ramos RA. Computing the load margin of power systems using particle swarm optimization [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/TPEC51183.2021.9384941 -
Vancouver
Bento MEC, Ramos RA. Computing the load margin of power systems using particle swarm optimization [Internet]. Proceedings. 2021 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/TPEC51183.2021.9384941 - Analysis of the load growth direction variation in the dynamic security assessment
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Informações sobre o DOI: 10.1109/TPEC51183.2021.9384941 (Fonte: oaDOI API)
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