Grid-Tied Energy Management System for Hybrid Microgrid Using Advanced PSO Algorithm

The Microgrid Energy System (MGES) is a power system known as a small-scale energy system, it is based generally on decentralized energy resources such as wind turbines (WT), photovoltaic solar panels (PV), battery energy storage systems (BESs), and loads demand (LD). MG could operate in either grid-connected or islanded mode, the power range is between a few KW to a few MW. This paper presents a Microgrid Energy Management System (M-EMS) for grid-tied mode by using photovoltaic panels (PV) and battery energy storage systems (BESs). The proposed MGES is focusing on optimization module. The optimization module is responsible for the daily programming between the production and load demand to achieve the availability of energy resources anytime needed during 24h. Thus, this article will handle the optimization for real-time energy management by using meta-heuristic algorithms, it is implemented by MATLAB to minimize the cost to the optimum value as well as maximize the energy distribution.