Alocação eficiente de indicadores de faltas em um sistema de distribuição real usando computação evolutiva

Abstract

This work proposes an evolutionary computing strategy to solve the problem of fault indicator placement in primary distribution feeders. The problem is solved using Genetics Algorithm (GA) technique in order to obtain an efficient configuration of fault indicator placement in the main feeder. The results with actual data confirm the efficiency of the GA methodology to solve the fault indicator placement problem. As a result, the distribution reliability indices of quality are improved attending the financial costs.