Distribution Network Reconfiguration Based on Hybrid Particle Swarm Optimization and Grey Wolf Optimization

In the realm of power distribution systems, the optimization of network configuration plays a pivotal role. The significance of this task lies in its ability to enhance system performance and efficiency. This paper underscores the imperative need to employ a hybrid approach, marrying the capabilities of Particle Swarm Optimization (PSO) and Grey Wolf Optimization (GWO) for distribution network reconfiguration. Through the synergistic collaboration between these methodologies, a refined network configuration is achieved, resulting in minimized power losses, improved load balance, and heightened system reliability. The outcomes demonstrate substantial improvements in terms of system performance, highlighting the potential of the proposed hybrid approach for reconfiguration in power distribution networks.