Development of an Optimal Energy Management System for Grid-Connected Micro Grid

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.