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 (mu GT) 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.