Fortalecimiento de los indicadores de confiabilidad en sistemas de distribución de energía eléctrica mediante la ubicación óptima de líneas de distribución redundantes

Abstract

Faced with the imperative need to enhance operational reliability in electrical distribution networks, this study proposes an optimization methodology based on the Teaching-Learning-Based Optimization (TLBO) algorithm for the strategic placement of redundant lines. Model validation is performed on the "MV Distribution Network – Base Model" test system, using a combined objective function of the MTTF (Mean Time Between Failures) and MTTR (Mean Time To Repair) reliability indices. Following 500 independent executions, the configuration with three redundant lines identified as LN_1011, LN_1058, and LN_0871 is determined to provide the most stable solution. Specifically, this topology increases MTTF from 403.64 h to 409.42 h and reduces MTTR from 2.351 h to 2.306 h. Furthermore, significant improvements are observed in the voltage profile and angle, a more balanced redistribution of active and reactive power, enhanced utilization efficiency of existing lines, and a generalized reduction in energy losses.