Optimal Distributed Generation Deployment Considering Network Reconfiguration

Abstract

An increase in electrical energy can cause an increase in power losses and a decrease in voltage in the system. One of the efforts made to reduce power losses that occur in the distribution network is by placing Distributed Generation (DG). There have been many studies related to optimal DG placement and one of the artificial intelligence methods used to solve this problem is the flower pollination algorithm method. In addition, network reconfiguration can improve power quality by reducing power losses, increasing reliability, voltage stability and load balance. This study aims to determine the optimal position and capacity of DG and determine the impact or effect of network reconfiguration on DG installation solutions in radial distribution systems.