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    Hardware-in-the-Loop, Digital Twins and Rapid Prototyping

    D28.5 - Enhancing DC Microgrid Electrothermal Performance Through Digital Twin Enabled Droop Optimization

    Thursday, March 26, 2026
    12:00 PM - 1:45 PM CT
    Location: Poster 6
    An optimized droop control strategy for a DC microgrid system integrating a fast-responding energy storage source and a slower generator source is presented. The objective is to optimize the droop gains to achieve optimal power sharing and voltage regulation while adhering to critical operational constraints including battery state of charge (SoC) limits, internal temperature management to prevent thermal runaway, and generator ramp rate limitations. A comprehensive optimization framework is developed, leveraging a digital twin for real-time estimations and initial system status. The work details the required MATLAB models for simulation and provides experimental validation, demonstrating the potential for enhanced microgrid performance, reliability, and sustainability through intelligent control.