This paper aims to design a robust internal model-based voltage control (RIMVC) scheme for DC Microgrids (DCMGs) in the presence of unknown external disturbances. Maintaining voltage reference tracking under measurement noise, delays, model parameter uncertainties and unknown external disturbances while the load changes simultaneously is a severe challenge for the DC–DC converters in DCMGs. By developing a modified internal model-based voltage control for DC–DC converters, this work proposes a plug-and-play (PnP) robust voltage control scheme to address the abovementioned challenge. The proposed control method has a cascade structure. In the first step, a modified IMC control is designed to achieve desired tracking performance for a nominal dynamical system. In the next step, the output feedback H∞ control part is added to improve the performance robustness under external disturbances and parameter uncertainties. The efficiency of the proposed control scheme is evaluated using a real-time MATLAB/Simulink testbed, taking into account unknown internal and external disturbances under various rapid voltage reference changes, model parameter uncertainties, constant power loads, system delays and normal load profile changes in multiple case study scenarios.


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    Titel :

    Robust internal model-based voltage control for DC microgrids: An LMI-based H∞ control


    Beteiligte:

    Erscheinungsdatum :

    2023-09-01


    Anmerkungen:

    Basati , A , Guerrero , J M , Vasquez , J C , Fakharian , A , Johansson , K H & Golestan , S 2023 , ' Robust internal model-based voltage control for DC microgrids: An LMI-based H∞ control ' , Sustainable Energy, Grids and Networks , vol. 35 , no. 101094 , 101094 . https://doi.org/10.1016/j.segan.2023.101094



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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