Optimal Energy Management for an On-Grid Microgrid by Using Branch and Bound Method

In this paper, optimization of the energy management system (EMS) of an on-grid microgrid including Wind-PV-Battery is taken into account. Theoretically, an EMS makes use of the information from the source, load as well as the electricity market as a forecast step to infer the import/export power with grid and the DER scheduling in the connected scheme. Since the operations of the EMS must reach many objectives simultaneously such as the minimized cost, emission, net power imported from the main grid as well as the maximized renewable energy, we consider this problem as a constrained optimization problem. By using the Branch and Bound technique, the optimal value the state of charge (SoC) during the daily system operation is found out to infer the minimum cash flow (C_F). The efficiency of this proposed method is evaluated by MATLAB/ Simulink.