Optimizing Loss Reduction through Distribution Network Restructuring using the PSO Algorithm

Abstract

In this study, the research delves into the intricate process of formulating and restructuring Radial Distribution Networks (RDN) using loop matrices. The conventional analytical method employed to determine optimal restructuring demands significant computational time, a duration that escalates in direct proportion to the number of buses within the system. Consequently, the necessity for an optimization algorithm becomes paramount to identify the optimal restructuring strategy for radial distribution systems. The primary objective of this optimal restructuring lies in minimizing network losses. To achieve this, the research employs advanced optimization algorithms, specifically Genetic Algorithm and Particle Swarm Optimization. This work utilizes metaheuristic methods for optimal restructuring, incorporating organic optimization techniques such as the PSO algorithm. The study rigorously investigates the reorganization issue within a conventional large-scale 135-node network, exploring various scenarios in both the presence and absence of optimization approaches