Sistema de protección adaptativa con asistente inteligente y lógica difusa para relés de sobrecorriente 50/51

Abstract

CONDITIONING OF PROJECT PUBLICATION. The increasing penetration of distributed generation in distribution networks changes fault current levels and directionality, causing miscoordination and undesired trips in traditional overcurrent protection schemes (ANSI 50/51) based on fixed settings. This work proposes an adaptive protection scheme using an intelligent assistant that integrates ETAP power system simulation with a Python-based fuzzy logic controller to dynamically update relay pickup and timing settings according to the operating state of the system. A set of representative and critical scenarios (maximum load, medium load, tie interconnection, islanded operation, reverse power flow, and critical blinding) was generated to evaluate performance by comparing conventional fixed settings against adaptive settings. Results show that the proposed approach preserves selectivity and reduces the risk of undesired operations under changing operating conditions, improving operating times and coordination in non-conventional scenarios. A referential cost and benefit assessment is also included, highlighting time savings due to reduced manual reconfiguration and faster service restoration. Keywords: dynamic settings, false tripping, distributed generation, ETAP, Python.