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This paper proposes an Energy Management System (EMS) with fuzzy logic controller for a grid connected hybrid power system. Modeling and simulation are implemented using MATLAB/SIMULINK package. The objective of proposed EMS for micro grid with battery storage system is to optimize the fuel cost, improving the energy utilization efficiency and to manage the peak load demand by scheduling the generation according to the availability of the fuel. The proposed energy management algorithm for grid connected hybrid energy system helps integration of PV panels and wind power in to the grid which manage the peak load demand, and also it improves the stability of the system under different transient conditions by maintaining the frequency and voltage close to the nominal value for different load. The simulation results of proposed EMS using fuzzy logic expert system shows the minimization on the operating cost and emission level of micro grid by optimal scheduling of power generation ,and maintains the State of Charge (SOC) of batteries in desired value which improves the battery life. The proposed multi objective intelligent energy management system offers a proper tool for improving the system reliability and operational efficiency of a micro grid.

Keywords

Distributed Generation (DGs), Energy Management System (EMS), Micro Grid (MG), Photovoltaic (PV), Renewable Energy (RE), Wind Turbine (WT)
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