Robust Optimization in Energy Management under RESs Uncertainties through BESS Integration

The economic dispatch (ED) problem in power systems looks to minimize generation costs while meeting demand and considering the limitations of generation units. However, the increasing integration of renewable energy sources (RESs), such as photovoltaic (PV) systems, into modern power systems has introduced unprecedented challenges due to their inherent variability and uncertainty, especially in conjunction with load variations. These challenges may make the economic dispatch solutions less effective and compromise the reliability of the power system. In this paper, a two stage robust optimization based methodology in energy management has been proposed aimed at achieving optimal economical dispatch operations. The objective function goals are to minimize the overall generation cost and reduce the battery energy storage system (BESS) aging cost through the economic scheduling of battery usage while considering the system uncertainties. An iterative column and constraint generation (C&CG) algorithm has been used to solve the two stage robust optimization. A customized IEEE-9 bus system is used to test the soundness of the presented methodology. Furthermore, a comparison has been made by considering the cases with and without BESS to demonstrate the superiority of the proposed approach in reducing generation costs.