Optimal Sizing and Placement of the Renewable Energy Source in a Microgrid using Butterfly Optimization Algorithm

Abstract

An essential consideration for a microgrid's cost-effectiveness is the size of its renewable energy sources.  A collection of RES, a storage system, converters, and loads make up the grid-connected hybrid renewable energy system. The operating area needed by the type of DG technology is one variable used in this article to determine the DG sizing, while all potential candidate buses in the various AC/DC micro-grid system zones are another variable, taking into account the HPC losses in the system. A hybrid AC/DC MG system is created to optimize the size and designing using different renewable energy sources. To evaluate the proposed approach, Butterfly Optimization Algorithm is implemented on aforementioned micro-grid systems and the obtained results are verified with other Particle swarm optimization in the paper. The results proved that the proposed approach is better than the other approaches in technical aspects.