Iterative AHA-Driven Microgrid Reconfiguration for Interconnection Performance Enhancement

This paper presents an in-depth study on the reconfiguration of power distribution networks (PDN) in two interconnected microgrids using a recent bio-based optimization algorithm, the Artificial Hummingbird Algorithm, to minimize power losses and improve voltage profile within interconnected microgrids while keeping the radial topology in each microgrid and within the two. The proposed approach is validated by simulation on two interconnected 20-bus systems, demonstrating its effectiveness in achieving a balance between minimizing losses and improving voltage profile while reducing the cost function. Additionally, the results provide valuable insights into the field of PDN reconfiguration, providing a practical framework to optimize network performance and promote sustainable energy management.