| Texto completo | |
| Autor(es): |
Moreira Mota, Lia Toledo
;
Mota, Alexandre Assis
;
Morelato Franca, Andre Luiz
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | International Journal of Computer Applications in Technology; v. 22, n. 2-3, p. 7-pg., 2005-01-01. |
| Resumo | |
Inadequate load pickup during power system restoration can lead to overload and underfrequency conditions, and even restart the blackout process, due to thermal energy losses. Thus, load behaviour estimation during restoration is desirable to avoid inadequate pickups. This work describes an artificial intelligence method to aid the operator in taking decisions during system restoration by estimating residential load behaviour parameters such as overload in buses and the necessary time to recover steady-state power consumption. This method uses a fuzzy rule-based system to forecast the residential load, obtaining correct estimates with low computational cost. Test results using actual substation data are presented. (AU) | |
| Processo FAPESP: | 00/11164-4 - Comportamento da carga na recomposição de sistemas de energia elétrica |
| Beneficiário: | Lia Toledo Moreira Mota |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |
| Processo FAPESP: | 00/11163-8 - Implementação da recomposição em sistemas de energia elétrica: funções de análise e treinamento |
| Beneficiário: | Alexandre de Assis Mota |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado |