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    A Robust Continuous-Time MPC of a DC–DC Boost Converter Interfaced With a Grid-Connected Photovoltaic System

    245875.pdf (6.558Mb)
    Access Status
    Open access
    Authors
    Errouissi, R.
    Al-Durra, A.
    Muyeen, S.M.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Errouissi, R. and Al-Durra, A. and Muyeen, S.M. 2016. A Robust Continuous-Time MPC of a DC–DC Boost Converter Interfaced With a Grid-Connected Photovoltaic System. IEEE Journal of Photovoltaics. 6 (6): pp. 1619 - 1629.
    Source Title
    IEEE Journal of Photovoltaics
    DOI
    10.1109/JPHOTOV.2016.2598271
    ISSN
    2156-3381
    School
    Department of Electrical and Computer Engineering
    Remarks

    © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/24397
    Collection
    • Curtin Research Publications
    Abstract

    The main function of the dc–dc converter in a grid-connected photovoltaic (PV) system is to regulate the terminal voltage of the PV arrays to ensure delivering the maximum power to the grid. The purpose of this paper is to design and practically implement a robust continuous-time model predictive control (CTMPC) for a dc–dc boost converter, feeding a three-phase inverter of a grid-connected PV system to regulate the PV output voltage. In CTMPC, the system behavior is predicted based on Taylor series expansion, raising concerns about the prediction accuracy in the presence of parametric uncertainty and unknown external disturbances. To overcome this drawback, a disturbance observer is designed and combined with CTMPC to enhance the steady-state performance in the presence of model uncertainty and unknown disturbance such as the PV current, which varies nonlinearly with the operating point. An interesting feature is that the composite controller reduces to a conventional PI controller plus a predictive term that allows further improvement of the dynamic performance over the whole operating range. The effectiveness of the proposed controller was tested numerically and validated experimentally with the consideration of the grid-connected PV inverter system and its controller.

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