Optimal operation of a multi-source microgrid to achieve cost and emission targets

This paper presents a new approach for the optimization of photovoltaic-wind hybrid systems with battery storage to meet the load requirements. In this study, a 24-hour ahead energy management for a microgrid is utilized. The objectives aim at raising efficiency of energy utilization, minimizing operational cost and reducing environmental effects of energy usage. Also a demand response (DR) program is considered as one of the cost-effective energy alternatives. Based on the prediction of available energy from the PV and wind generators, battery storage availability, load prediction, micro gas turbine (μGT) and main grid emission characteristics, a central energy management system calculates a day-ahead plan of power references for the gas turbine, power purchased from the grid, power sold to the grid, status of the battery and controllable loads. A multi-objective optimization is implemented in order to minimize the energy cost and greenhouse gas emissions.