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Photovoltaic Energy Conversion Systems with Sliding Mode Control

Author

Listed:
  • Mehmetcan Gursoy

    (Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66506, USA
    These authors contributed equally to this work.)

  • Guangping Zhuo

    (Department of Computer Science, Taiyuan Normal University, Taiyuan 030619, China
    These authors contributed equally to this work.)

  • Andy G. Lozowski

    (Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL 62026, USA
    These authors contributed equally to this work.)

  • Xin Wang

    (Department of Electrical and Computer Engineering, Southern Illinois University, Edwardsville, IL 62026, USA
    These authors contributed equally to this work.)

Abstract

A new sliding-mode-control-based power conversion scheme is proposed for photovoltaic energy conversion systems. The perturbation and observation (P&O) maximum power-point tracking (MPPT) approach is adopted for optimizing the power generation capabilities from solar panels. Due to the inherent nonlinear dynamics of power converters, we need to adopt a nonlinear control approach to optimize the energy conversion efficiency and tolerate the fluctuations and changes of load and sunlight irradiance. In this manuscript, novel first-and higher-order sliding mode control approaches are proposed, aiming to provide a systematic approach for the robust and optimal control of solar energy conversion, which guarantees Lyapunov stability and consistent performance in the face of external perturbations and disturbances. Moreover, to eliminate the chattering phenomenon inherent in the first-order approach, super-twisting second-order sliding mode control is developed for the buck-boost converter. Furthermore, the output of DC–DC converter supplies a voltage-oriented-control (VOC)-based space-vector pulse-width-modulated inverter to generate three-phase AC power to the grid. To demonstrate the robustness and effectiveness of the proposed scheme, computer simulations and dSPACE hardware-in-the-loop platform have been carried on for examining the proposed sliding-mode-control-based solar energy conversion system.

Suggested Citation

  • Mehmetcan Gursoy & Guangping Zhuo & Andy G. Lozowski & Xin Wang, 2021. "Photovoltaic Energy Conversion Systems with Sliding Mode Control," Energies, MDPI, vol. 14(19), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6071-:d:641767
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    References listed on IDEAS

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    1. Guangping Zhuo & Jacob D. Hostettler & Patrick Gu & Xin Wang, 2016. "Robust Sliding Mode Control of Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems," Sustainability, MDPI, vol. 8(12), pages 1-20, December.
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    Cited by:

    1. Katarzyna Adamiak & Andrzej Bartoszewicz, 2022. "Novel Power-Rate Reaching Law for Quasi-Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-14, July.
    2. Carlos Andres Ramos-Paja & Oscar Danilo Montoya & Luis Fernando Grisales-Noreña, 2022. "Adaptive Sliding-Mode Controller for Flyback-Based PV Systems Featuring Constant Switching Frequency," Mathematics, MDPI, vol. 10(8), pages 1-27, April.
    3. Mohamed Derbeli & Cristian Napole & Oscar Barambones & Jesus Sanchez & Isidro Calvo & Pablo Fernández-Bustamante, 2021. "Maximum Power Point Tracking Techniques for Photovoltaic Panel: A Review and Experimental Applications," Energies, MDPI, vol. 14(22), pages 1-31, November.
    4. Jinn-Chang Wu & Hurng-Liahng Jou & Chung-Hsun Chang, 2023. "Power Conversion Interface for a Small-Capacity Photovoltaic Power Generation System," Energies, MDPI, vol. 16(3), pages 1-17, January.
    5. Fagen Yin & Chun Wang & Weizhang Wang, 2022. "Adaptive Sliding-Mode Control for Electric Spring in Microgrids with Distributed Renewable Energy," Energies, MDPI, vol. 15(13), pages 1-15, July.
    6. Miguel Monsalve-Rueda & John E. Candelo-Becerra & Fredy E. Hoyos, 2024. "Second-Order Sliding-Mode Control Applied to Microgrids: DC & AC Buck Converters Powering Constant Power Loads," Energies, MDPI, vol. 17(11), pages 1-18, June.

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