Optimización de microrredes con generación distribuida utilizando GWO (Grey Wolf Optimizer) para mejorar la estabilidad de voltaje del sistema de prueba IEEE de 34 nodos

Abstract

This study proposed the application of the Gray Wolf Optimizer (GWO) optimization algorithm to improve voltage stability and reduce power losses in distributed generation systems with integration of renewable energy sources. The 34-node IEEE test system was used as a case study, where a methodology was developed that combined the OpenDSS software for modeling and simulation of the distribution network, and MATLAB for the implementation of the GWO algorithm and the visualization of results. The optimization focused on determining the optimal location and capacity of the distributed generators, as well as the configuration of the regulator transformer taps located in the different nodes. The results demonstrated that the application of GWO manages to significantly improve the voltage profiles, bringing them within acceptable operating limits, and reducing power losses in the system. Furthermore, the integration of optimized distributed generation contributes to the decentralization and resilience of the electricity system. This methodology provided a valuable tool for decision-making in the planning and operation of distribution networks with high penetration of renewable energy, promoting more efficient, reliable and sustainable operation.