Biased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems

Autor(es)

Vargas, Rommel ; Romero, Ruben ; Franco, John F. ; IEEE

• 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