Direct current (dc) microgrids have gained significant interest in research due to dc generation/storage technologies—such as photovoltaics (PV) and batteries—increasing performance and reducing in cost. However, proper protection and control systems are critical in order to make dc microgrids feasible. This paper aims to propose a novel integrated control and protection scheme by using the state-dependent Riccati equation (SDRE) method for PV-battery based islanded dc microgrids. The dc microgrid under study consists of photovoltaic (PV) generation, a battery energy storage system (BESS), a capacitor bank and a dc load. The aims of this study are fast fault detection and voltage control of the dc load bus. To do so, the SDRE observer-controller—a nonlinear mathematical model—is employed to model the operation of the dc microgrid. Simulation results show that the proposed SDRE method is effective for fault detection and robust against external disturbances, resulting in it being capable of controlling the dc load bus voltage during disturbances. Finally, the dc microgrid and its proposed protection scheme are implemented in an experimental testbed prototype to verify the fault detection algorithm feasibility. The experimental results indicate that the SDRE scheme can effectively detect faults in a few milliseconds.


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    Titel :

    Integrated control and protection architecture for islanded PV-battery DC microgrids:Design, analysis and experimental verification


    Beteiligte:
    Abdali, Ali (Autor:in) / Mazlumi, Kazem (Autor:in) / Guerrero, Josep M. (Autor:in)

    Erscheinungsdatum :

    2020-12-02


    Anmerkungen:

    Abdali , A , Mazlumi , K & Guerrero , J M 2020 , ' Integrated control and protection architecture for islanded PV-battery DC microgrids : Design, analysis and experimental verification ' , Applied Sciences (Switzerland) , vol. 10 , no. 24 , 8847 , pp. 1-17 . https://doi.org/10.3390/app10248847



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



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