Synchronous Reconfiguration in Implantable Distributed Generation on Optimal Power Arrangement

Abstract

This study addresses the challenges of synchronous reconfiguration in implantable distributed generation systems, aiming to optimize power arrangement using an evolutionary whale optimization technique. The research focuses on overcoming the degradation in utility grid performance caused by varied responses, which significantly impacts the efficacy of electricity delivery in implantable systems. The key objective is to deliver high-quality electricity while minimizing power dissipation and maintaining operational temperatures within safe limits. To achieve this, the study proposes an innovative method that optimizes both the routing protocol and the placement of capacitors within the implantable distributed generation network. This approach is designed to reduce power flow and operational costs, thereby improving the efficiency of various buses in the system. The optimization process utilizes Jackson's technique for identifying the optimal minimal tree in routing, complemented by an adaptable whale optimization algorithm for model predictive control.