Artículos de revistas
Efficient Placement of Fault Indicators in an Actual Distribution System Using Evolutionary Computing
Fecha
2012Registro en:
IEEE TRANSACTIONS ON POWER SYSTEMS, PISCATAWAY, v. 27, n. 4, pp. 1841-1849, NOV, 2012
0885-8950
10.1109/TPWRS.2012.2190625
Autor
Usida, Wesley Fernando
Coury, Denis Vinicius
Flauzino, Rogério Andrade
Silva, Ivan Nunes da
Institución
Resumen
This paper proposes an evolutionary computing strategy to solve the problem of fault indicator (FI) placement in primary distribution feeders. More specifically, a genetic algorithm (GA) is employed to search for an efficient configuration of FIs, located at the best positions on the main feeder of a real-life distribution system. Thus, the problem is modeled as one of optimization, aimed at improving the distribution reliability indices, while, at the same time, finding the least expensive solution. Based on actual data, the results confirm the efficiency of the GA approach to the FI placement problem.