Multi-objective reconfiguration in primary distribution systems with the presence of distributed generation

Abstract

This work addresses the multi-objective reconfiguration of distribution networks with the presence of distributed generation. We work with two objective functions in the problem statement: active power losses and grid voltage index. While in the solution of the model, an elitist evolutionary algorithm of non-dominated ordering (NSGA-II) is used, which is implemented with the help of MATLAB, determining a set of feasible solutions. The proposed methodology is implemented in reconfiguring the test circuit, 33 nodes, 37 branches, and 4 distributed generators of the IEEE. Two case studies are analyzed, one without the presence of distributed generation and the other in the presence of four distributed generators; it is possible to reduce the power losses of the analyzed network and improve the voltage profile. The results are compared with other investigations and methods that have used the same test circuit, evidencing its relevance.