Optimal Placement and Sizing of or Power Loss Reduction in Distributed Generation System by using Hybrid Optimization

Abstract

The implementation of distributed generation (DG) units presents several advantages, such as decreased power loss, ecological sustainability, enhanced voltage, postponed system improvements, and heightened reliability. With the help of the Discrete Black Window Algorithm (DBWA) and Ant Lion Optimization (ALO), a novel hybrid methodology called Optimal DG-DBWALO is presented in this work. Here, the suggested method is used to determine the best location for the DG unit in terms of power loss, line power flow, and voltage profile. The recommended method increases the dynamic execution by directing the limit of DG concerning the least amount of power loss, voltage profile, and generation cost as well as maximum reliability with optimal DG.  To determine the ideal DG location and size that corresponds to the greatest loss reduction, a single DG deployment is employed. The effectiveness of the suggested methodology is evaluated by analysing a total of four different operational scenarios.  Because it can increase voltage profiles and enhance overall power loss at the same time, the penalty factor is a crucial component in the analysis of real power system scenarios.  To validate the DBWALO-ODG approach, an investigation was carried out using the IEEE 33, IEEE 69, IEEE 119, and Indian 52 Bus systems.  By executing various system load scenarios, the stability of the distribution system through loss reduction is examined. The suggested system's functionality is examined and contrasted with a wide range of current methods.