Application of meta-heuristic algorithms to reconfigure radial distribution system for optimal cost and reliability

Abstract

This research focuses on the application of Metaheuristic algorithms in the field of power system optimization. The specific problem used to demonstrate that is the reconfiguration of the radial distribution system in terms of reliability and system loss. The primary goal of this work is to analyze the performance of multiple metaheuristic algorithms in reconfiguring radial distribution systems. While all algorithms offer the solution to the problem, different algorithms favor different kinds of optimization problems and can find solutions faster and slower than others. GA, PSO, CSO, and GWO are considered for comparison. The problem formulated is to optimize the radial distribution system while maintaining strict radiality for maximum reliability and minimum system loss. For this, a new approach is suggested where reliability indices and network loss are converted to into monetary value. Minimization of this value is the primary optimization goal. Reliability indices are converted by considering losses arising to customers and utility due to faults.