Development of an Optimal Energy Management System for GridConnected Micro Grid

Abstract

This paper developed an optimal energy management system (EMS) for a grid-connected
microgrid (MG) integrating distributed generation (DG) to minimize operational costs of
the MG, which consisted solar PV, micro turbine, wind turbine, combined heat and power,
electricity energy storage, and fuel cells. The parameters were optimized using particle
swarm optimization (PSO) algorithms and implemented by MATLAB/SIMulink 2023a. With
100% investment in energy efficiency, operational costs decreased from approximately $218
to $207, representing a 5.31% reduction in the operational cost of the system. The challenges
were addressed through the new methodologies, improved results were compared to mixed
integer non-linear programming (MINLP) used in the base paper.