MODULAR APPROACH FOR THE OPTIMIZATION OF DISTRIBUTION NETWORKS WITH DYNAMIC RECONFIGURATION AND BESS OPERATION WITH STATIC NETWORK RECONFIGURATION UNDER RENEWABLE GENERATION VARIABILITY

Resumo

This work presents a modular approach for the optimization of distribution networks through Dynamic Reconfiguration (DR) and the static operation of Battery Energy Storage Systems (BESS), considering the variability of Distributed Generation (DG) from solar and wind sources. The methodology combines the Differential Evolution (DE) metaheuristic for DR and optimization models in AMPL, solved by KNITRO, for the static operation of BESS. The main objective is to minimize technical losses, mitigate reverse power flow, improve voltage profiles, and manage DG injection over a 24-hour operation horizon. Tests conducted on a 33-bus system demonstrated that the modular integration of DR and BESS significantly contributes to the modernization and resilience of distribution networks, especially in scenarios with high penetration of renewable energy sources. The results show that both the isolated application and the combined use of these strategies are effective in promoting a safer, more efficient, and sustainable energy transition.