Enhancing Reliability Indices in Power Distribution Grids through the Optimal Placement of Redundant Lines Using a Teaching-Learning-Based Optimization Approach

Given the pressing need to strengthen operational reliability in electrical distribution networks, this study proposes an optimization methodology based on the Teaching-Learning-Based Optimization (TLBO) algorithm for the strategic location of redundant lines. The model is validated on the “MV Distribution Network – Base Model” test system, considering the combination of the MTBF (Mean Time Between Failures) and MTTR (Mean Time To Repair) indicators as the objective function. After 500 independent runs, it is determined that the configuration with three redundant lines identified as LN_1011, LN_1058, and LN_0871 offers the most stable solution. Specifically, this topology increases the MTBF from 403.64 h to 409.42 h and reduces the MTTR from 2,351 h to 2,306 h. In addition, significant improvements are observed in the voltage profile and angle, a more balanced redistribution of active and reactive power, more efficient use of existing lines, and an overall reduction in energy losses.