| Texto completo | |
| Autor(es): |
de Albuquerque, Felipe Proenca
;
da Costa, Eduardo C. M.
;
Caballero, Pablo Torrez
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | 2024 6TH INTERNATIONAL CONFERENCE ON SMART POWER & INTERNET ENERGY SYSTEMS, SPIES; v. N/A, p. 6-pg., 2024-01-01. |
| Resumo | |
Real-time voltage stability assessment has become a prominent area of study due to the increase in load demand and the diversity of non-linear loads. Additionally, the large amount of data available allows the use of data-centric solutions. In this context, this paper proposes a comparative analysis of tree-based methods for Load Margin Estimation. The presented methodology uses a reduced number of features, avoiding the use of power flow measurements, and relies on PMU measurements from only a few buses in the system. The method was also tested considering the presence of random and systematic errors in phasor measurements. The proposed method is evaluated on the IEEE 14-bus test system. Results show that the Load P Margin (LPM) can be predicted with an error of less than 1% in the noiseless case and less than 2% in the presence of noise. (AU) | |
| 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 |