Reconfiguración óptima de sistemas de distribución para reducir pérdidas técnicas y mejora del perfil de voltaje utilizando el algoritmo híbrido

Abstract

This paper proposes and validates a hybrid algorithm to obtain an optimal system reconfiguration (DSR) technique, thereby reducing technical losses and improving the voltage profile, key parameters for evaluating system performance. A hybrid algorithm was implemented that combines the extensive exploration of possible configurations from the genetic algorithm (GA) with the selection of the highest-performing configurations from particle swarm optimization (PSO). The objective function takes into account the two goals proposed in this work: reducing technical losses and maintaining adequate voltages at the system buses, excluding solutions that do not meet these goals and adding a constraint to maintain system radiality. The proposed methodology was validated on the IEEE 33-bus system using MATPOWER version 8.1. The resulting voltages are greater than 0.95 p.u. and reduce losses by approximately 33%. The combination of both methodologies offers a more efficient DSR solution than other pure methods.