Optimal reconfiguration of distribution network based on deep fuzzy c-means clustering algorithm

Abstract This study examines the best distribution network reconfiguration to enhance safety and reduce active power loss. Distribution networks can be reconfigured using a deep fuzzy C-means (FCM) clustering method with objective of least amount By creating novel framework, size neural is lowered by modifying number neurons in input layer. With simulations tested on IEEE 33-bus network, outcomes traditional approaches, such as Branch-and-Cut switching algorithms, are contrasted simulation results. The comparative results clearly show advantages employing suggested framework for reconfiguration, quick turnaround time far quicker than alternatives. These characteristics demonstrate how well paradigm may applied real-time reconfiguration.