A Novel Combine Crow Search Algorithm and Particle Swarm Optimization for the Problem of Reconfiguration Distribution Networks Considering Distributed Generation and Electric Vehicles

Abstract

In modern times, with the increasing prevalence of renewable energy sources and electric vehicle systems integrated into distribution networks, the operation to ensure power quality, optimization, and reliability of distribution networks has become more critical. The reconfiguration problem of the distribution network, aiming to reduce losses, optimize renewable energy sources, and regulate the charging/discharging process of electric vehicles, is a highly necessary task. The Particle Swarm Optimization (PSO) algorithm excels in exploitation but is less effective in exploration. In contrast, the Crow Search Algorithm (CSA) is simple and more random, will improve the speed and accuracy of optimization problems. Thus, this study proposes using a combination of the PSO algorithm and the CSA algorithm applied to the distribution network reconfiguration problem, considering renewable energy sources and electric vehicles. The research results, validated on the IEEE 33-bus system with various scenarios, show that the proposed method is accurate and reliable.