Biased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems
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Data
2018-01-01
Autores
Vargas, Rommel [UNESP]
Romero, Ruben [UNESP]
Franco, John F. [UNESP]
IEEE
Título da Revista
ISSN da Revista
Título de Volume
Editor
Ieee
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.
Descrição
Palavras-chave
Biased random-key genetic algorithm, electrical distribution systems, power losses, reconfiguration
Como citar
Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la). New York: Ieee, 5 p., 2018.