Smart approach to control battery energy systems under significant integration of variable renewable energy sources

Utility-scale battery energy storage systems (BESS) have experienced significant growth in recent years. BESSs are effective in balancing supply and demand, adjusting voltage, controlling frequency, and cost-effectiveness. In this work we present a smart approach to improve the operation of the energy management system (EMS) of a BESS, with the objective of stabilizing peak load periods. The method, influenced by the integration of variable renewable energy (VRE) and fluctuations in demand, comprises two techniques: shaving and smoothing the peaks and troughs in the load profile. We utilized mathematical and statistical approximations to create a simulation modeling system for a BESS. The BESS component’s behavior is simulated in conjunction with various scenarios of VRE combinations and penetration levels. We found a dynamic improvement in peak load characteristics, ramping power, and other critical factors. This work highlights the opportunities to advance EMS of BESS for strategic planning of VRE at elevated levels.