TK1079 : Virtual Inertia Control baxsed on Model Predictive Control in DC Microgrids
Thesis > Central Library of Shahrood University > Electrical Engineering > MSc > 2025
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This study aims to implement Virtual Inertia Control (VIC) in a DC microgrid. While VIC is typically more critical in alternating current (AC) microgrids than in direct current (DC) ones, this is primarily due to fundamental differences in how power balance and frequency stability are managed in AC versus DC networks. However, in certain hybrid AC-DC microgrid systems, or when a DC microgrid is connected to or operates alongside an AC grid, virtual inertia becomes significant at the point of interconnection with the AC system. This is because the AC side still requires frequency regulation, and virtual inertia can help mitigate frequency fluctuations in the AC domain. Conversely, in the core of a standalone DC microgrid, VIC is generally not considered essential, as voltage regulation is achieved through different mechanisms. In this study, the DC microgrid operates in islanded mode, and the performance of the proposed control model is evaluated under varying power outputs of distributed generation units and changes in load, with a focus on power sharing and frequency stabilization. To implement VIC, a Model Predictive Control (MPC) approach is employed. Simulations are conducted in MATLAB, and the results are analyzed accordingly.
Keywords:
#_Virtual Inertia Control #Model Predictive Control #DC Microgrid #Power Sharing #Frequency Stability_ Keeping place: Central Library of Shahrood University
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