| Texto completo | |
| Autor(es): |
de Albuquerque, Felipe P.
;
Rafael, Nascimento
;
Biage, Gabriel de Castro
;
Coelho, Rooney R. A.
;
Pereira, Ronaldo F. Ribeiro
;
da Costa, Eduardo C. Marques
;
Filho, Mario L. Pereira
;
Lopes, Cassio G.
;
Cardoso, Jose R.
Número total de Autores: 9
|
| Tipo de documento: | Artigo Científico |
| Fonte: | INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS; v. 171, p. 12-pg., 2025-10-25. |
| Resumo | |
Monitoring electrical parameters of power transmission systems is essential to ensure reliability and optimal operating conditions. This research presents an accurate methodology for estimation of the sequence parameters of submarine power cables using a data-driven approach based synchrophasor measurements. Contrarily of conventional techniques, the proposed methodology is based on supervised machine learning models trained on realistic simulations, which incorporate the physical and geometric characteristics of the power cable, with its seven propagation modes. In practical conditions, the training dataset takes into account noise patterns using well-established modeling methods for phasor measurements. These patterns include time-correlated and statistically coherent disturbances, which are representative of those typically encountered in systems employing Phasor Measurement Units (PMUs). A detailed statistical investigation was also conducted to characterize the empirical distribution of the input data, supporting model design and validation. Remarkably, the proposed algorithm achieves accurate parameter estimation even under elevated noise conditions, requiring as few as 200 training samples. The maximum observed estimation error was approximately 1%, underscoring the robustness, efficiency, and practical viability of the proposed framework for the electrical characterization of submarine transmission systems. (AU) | |
| Processo FAPESP: | 20/15230-5 - Centro de Pesquisa e Inovação de Gases de Efeito Estufa - RCG2I |
| Beneficiário: | Julio Romano Meneghini |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa Centros de Pesquisa Aplicada |
| Processo FAPESP: | 21/01325-7 - Análise da estabilidade de tensão em sistemas de energia elétrica considerando a dinâmica dos parâmetros da rede |
| Beneficiário: | Felipe Proença de Albuquerque |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 24/00261-3 - Monitoramento em Tempo Real de Sistemas de Transmissão de Energia Elétrica por meio da Estimação dos Parâmetros e Análise da Estabilidade de Tensão |
| Beneficiário: | Eduardo Coelho Marques da Costa |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |