Optimal Topology Configuration Analysis in Distribution Systems Using Incidence Matrix and Manta Ray Foraging Optimization Algorithm

This paper presents a method for topological reconfiguring distribution systems using Manta Ray Foraging Optimization (MRFO) algorithm in combination with the NewtonRaphson fast decoupled (NRFD) power flow method. The topological reconfiguration optimization problem is a multiobjective function emphasizing minimizing power losses and voltage variation index. Considerations are given to the constraints associated with voltage, current, radiality, and loading of branches. The topological analysis for reconfiguration focuses on creating meshes to determine the opening or closing of branches sectionalizing switches, ensuring the radiality of the system, and improving the search process for the optimal topological configuration. This analysis focuses on handling system incidence matrices to determine possible configurations of the state of sectionalizing switches. For each test system, various performance metrics are analyzed, such as algorithm convergence, execution time, quality of the solution found, and ability to meet established technical and operational constraints.