Sequential Model Predictive Control of Stand-Alone Voltage Source Inverters

Changming Zheng, Tomislav Dragicevic, Minrui Leng, Jose Rodriguez, Frede Blaabjerg

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    To avoid the time-consuming weighting-factor tuning work in conventional finite control set model predictive control (FCS-MPC), a sequential model predictive control (SMPC) scheme for stand-alone voltage source inverters of an islanded ac microgrid is proposed in this paper. The main idea is that two cost functions for separately minimizing the capacitor voltage and the inductor current tracking errors of the $LC$ filter are deployed in a sequential structure instead of being integrated into a single cost function. As a result, the weighting factor for balancing the two control objectives is eliminated. Moreover, the proposed SMPC does not degrade the output-voltage control performance too much. Simulation results are provided, verifying the effectiveness of the presented approach.
    Original languageEnglish
    Title of host publicationProceedings of 2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
    PublisherIEEE
    Publication date2020
    Pages409-412
    ISBN (Print)9781728169897
    DOIs
    Publication statusPublished - 2020
    Event2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems - Virtual event, Dubrovnik, Croatia
    Duration: 28 Sept 20201 Oct 2020
    https://ieeexplore.ieee.org/xpl/conhome/9244275/proceeding

    Conference

    Conference2020 IEEE 11th International Symposium on Power Electronics for Distributed Generation Systems
    LocationVirtual event
    Country/TerritoryCroatia
    CityDubrovnik
    Period28/09/202001/10/2020
    Internet address

    Keywords

    • Model predictive control,
    • LC filter
    • Inverters
    • Microgrid
    • Weighting factor design

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