| Texto completo | |
| Autor(es): |
Pesteh, Shabnam
;
Moayyed, Hamed
;
Miranda, Vladimiro
;
Pereira, Jorge
;
Freitas, Victor
;
Simoes Costa, A.
;
London Jr, J. B. A.
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Electric Power Systems Research; v. 176, p. 13-pg., 2019-11-01. |
| Resumo | |
This paper provides an answer to the problem of State Estimation (SE) with multiple simultaneous gross errors, based on Generalized Error Correntropy instead of Least Squares and on an interior point method algorithm instead of the conventional Gauss-Newton algorithm. The paper describes the mathematical model behind the new SE cost function and the construction of a suitable solver and presents illustrative numerical cases. The performance of SE with the data set contaminated with up to five simultaneous gross errors is assessed with confusion matrices, identifying false and missed detections. The superiority of the new method over the classical Largest Normalized Residual Test is confirmed at a 99% confidence level in a battery of tests. Its ability to address cases where gross errors fall on critical measurements, critical sets or leverage points is also confirmed at the same level of confidence. (AU) | |
| Processo FAPESP: | 17/22297-6 - Evolução do processo de Estimação de Estado frente aos novos paradigmas da operação de redes elétricas |
| Beneficiário: | Joao Bosco Augusto London Junior |
| Modalidade de apoio: | Bolsas no Exterior - Pesquisa |