Energy Management System Optimization for GridConnected Microgrids in Presence of Energy Storage

The dramatic growth in energy consumption and the governments' concern about the increase in greenhouse harmful emissions caused by fossil fuel power plants which is the main reason for global warming in recent years leads to more investments in renewable energies. One of the best ways of controlling the renewable energy resources (RESs) in an economic and reliable approach is to manage them in microgrids (MGs). In this study particle swarm optimization (PSO) and genetic algorithm (GA) is used to obtain the optimal economic dispatch (ED) in a grid connected MG in presence of photovoltaic (PV) solar energy, wind turbine (WT), microturbines (MTs), diesel generators, and energy storage system (ESS). The customers can play a major role in the energy management system by applying the demand response (DR) program which is considered in combination with other objectives in this research, power flow analysis is also investigated to check the resulted voltage level.