Reduction of Power Losses Using Phase Load Balancing Method in Power Networks Based on the Selective Probabilistic Discrete Particle Swarm Optimization

Abstract

Reducing power losses using Phase Load Balancing Method (PLBM) in the distribution network is a mandatory requirement for electricity companies. The goal of reconfiguration is to minimize active power loss and improve voltage profile. Many methods have been proposed to solve this problem because of its significant economic and technical significance. The paper presents a phase load-balancing method based on the Selective Probabilistic Discrete Particle Swarm Optimization (SPD-PSO), a metaheuristics algorithm to minimize power loss and simplicity in operation. The obtained results demonstrate the algorithm's effectiveness in reducing power loss considering the phase load balancing cost of the unbalanced power network to find the operating states with the higher efficiency.