Actas de congresos
Biased Random-Key Genetic Algorithm Applied to the Optimal Reconfiguration of Radial Distribution Systems
Date
2018-01-01Registration in:
Proceedings Of The 2018 Ieee Pes Transmission & Distribution Conference And Exhibition - Latin America (t&d-la). New York: Ieee, 5 p., 2018.
2381-3571
WOS:000518200300055
Author
Universidade Estadual Paulista (Unesp)
Institutions
Abstract
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.