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An MPC-Sliding Mode Cascaded Control Architecture for PV Grid-Feeding Inverters

Author

Listed:
  • Alessandro Palmieri

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a-I, 16145 Genoa, Italy)

  • Alessandro Rosini

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a-I, 16145 Genoa, Italy)

  • Renato Procopio

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a-I, 16145 Genoa, Italy)

  • Andrea Bonfiglio

    (Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture, University of Genoa, Via Opera Pia 11a-I, 16145 Genoa, Italy)

Abstract

The primary regulation of photovoltaic (PV) systems is a current matter of research in the scientific community. In Grid-Feeding operating mode, the regulation aims to track the maximum power point in order to fully exploit the renewable energy sources and produce the amount of reactive power ordered by a hierarchically superior control level or by the local Distribution System Operator (DSO). Actually, this task is performed by Proportional–Integral–Derivative (PID)-based regulators, which are, however, affected by major drawbacks. This paper proposes a novel control architecture involving advanced control theories, like Model Predictive Control (MPC) and Sliding Mode (SM), in order to improve the overall system performance. A comparison with the conventional PID-based approach is presented and the control theories that display a better performance are highlighted.

Suggested Citation

  • Alessandro Palmieri & Alessandro Rosini & Renato Procopio & Andrea Bonfiglio, 2020. "An MPC-Sliding Mode Cascaded Control Architecture for PV Grid-Feeding Inverters," Energies, MDPI, vol. 13(9), pages 1-17, May.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:9:p:2326-:d:355048
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    References listed on IDEAS

    as
    1. Andrea Bonfiglio & Massimo Brignone & Marco Invernizzi & Alessandro Labella & Daniele Mestriner & Renato Procopio, 2017. "A Simplified Microgrid Model for the Validation of Islanded Control Logics," Energies, MDPI, vol. 10(8), pages 1-28, August.
    2. Michele Fusero & Andrew Tuckey & Alessandro Rosini & Pietro Serra & Renato Procopio & Andrea Bonfiglio, 2019. "A Comprehensive Inverter-BESS Primary Control for AC Microgrids," Energies, MDPI, vol. 12(20), pages 1-19, October.
    3. Bendato, Ilaria & Bonfiglio, Andrea & Brignone, Massimo & Delfino, Federico & Pampararo, Fabio & Procopio, Renato & Rossi, Mansueto, 2018. "Design criteria for the optimal sizing of integrated photovoltaic-storage systems," Energy, Elsevier, vol. 149(C), pages 505-515.
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    Cited by:

    1. Saeed Danyali & Omid Aghaei & Mohammadamin Shirkhani & Rahmat Aazami & Jafar Tavoosi & Ardashir Mohammadzadeh & Amir Mosavi, 2022. "A New Model Predictive Control Method for Buck-Boost Inverter-Based Photovoltaic Systems," Sustainability, MDPI, vol. 14(18), pages 1-14, September.
    2. Kyunghwan Choi & Dong Soo Kim & Seok-Kyoon Kim, 2020. "Disturbance Observer-Based Offset-Free Global Tracking Control for Input-Constrained LTI Systems with DC/DC Buck Converter Applications," Energies, MDPI, vol. 13(16), pages 1-18, August.
    3. Rosini, A. & Procopio, R. & Bonfiglio, A. & Incremona, G.P. & Ferrara, A., 2022. "A Decentralized Higher Order Sliding Mode Control for Islanded Photovoltaic-Storage Systems," Energy, Elsevier, vol. 255(C).
    4. Ajaysekhar Agarala & Sunil S. Bhat & Arghya Mitra & Daria Zychma & Pawel Sowa, 2022. "Transient Stability Analysis of a Multi-Machine Power System Integrated with Renewables," Energies, MDPI, vol. 15(13), pages 1-18, July.

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