| Texto completo | |
| Autor(es): |
Vargas, Rommel
;
Romero, Ruben
;
Franco, John F.
;
IEEE
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF THE 2018 IEEE PES TRANSMISSION & DISTRIBUTION CONFERENCE AND EXHIBITION - LATIN AMERICA (T&D-LA); v. N/A, p. 5-pg., 2018-01-01. |
| Resumo | |
The optimal reconfiguration of radial Electrical Distribution Systems (EDSs) is a classical optimization problem that deals with the operation of the system and is of great interest to the electricity sector. Although there is a large number of approaches in the specialized literature to solve this problem, the solution of the reconfiguration problem for large-scale EDSs is still difficult. This paper proposes a method to solve the reconfiguration problem of EDSs that is based on the specialized metaheuristic Biased Random-Key Genetic Algorithm, which showed excellent performance on the solution of complex problems in operational research. Tests carried out using a wellknown EDS demonstrate the efficiency of the proposed method. (AU) | |
| Processo FAPESP: | 15/21972-6 - Otimização do planejamento e da operação de sistemas de transmissão e de distribuição de energia elétrica |
| Beneficiário: | Rubén Augusto Romero Lázaro |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |
| Processo FAPESP: | 17/02831-8 - Aplicação de métodos de otimização no planejamento do sistema de distribuição de energia elétrica |
| Beneficiário: | John Fredy Franco Baquero |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |