Experimental Data-driven BESS controller tuning: A Set-Membership Approach

In the context of microgrids, Battery Energy Storage Systems play a vital role in maintaining power system reliability and efficiency. Adequate control strategies are necessary for exploiting these resources appropriately. However, developing accurate models for complex energy systems is becoming quite challenging. This study presents the application of a Set-Membership Data-Driven approach in the controller design process for a Real Battery Energy Storage System with a peak capacity of 267kW, avoiding the requirement of a modeling step and directly deriving the controller from data. A comparison with an existing PID controller, tuned by a trial-and-error procedure, demonstrates that the data-driven controller significantly improves the system performance by reducing the step response time by up to 18%, the overshoots to less than 1%, and increasing the robustness of the loop to time-variant delays. This work highlights how the considered data-driven approach helps in the decision-making process to optimize the system's performance.