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A Novel Command-Filtered Adaptive Backstepping Control Strategy with Prescribed Performance for Photovoltaic Grid-Connected Systems

Author

Listed:
  • Weiming Zhang

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Tinglong Pan

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Dinghui Wu

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

  • Dezhi Xu

    (School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China)

Abstract

With the aim of solving the power fluctuation and bus voltage instability problems caused by external environment variations in the photovoltaic grid-connected system, a prescribed performance-based adaptive backstepping controller is proposed for the system to regulate the bus voltage and the inverter current. First, the mathematical model of the grid-connected inverter is established, in which the uncertain system parameters are estimated via a designed projection-based adaptive law. Then, the command-filtered backstepping sliding mode control method is applied to the system for power regulation. In order to achieve favorable tracking performance, the prescribed performance technique is introduced in the voltage regulation strategy by constraining the compensated voltage tracking error within a certain range from a novel point of view. Finally, the simulation is carried out considering the variations of environmental situations, and the obtained results demonstrate the sound performance of the prescribed performance-based control strategy with respect to the photovoltaic grid-connected system.

Suggested Citation

  • Weiming Zhang & Tinglong Pan & Dinghui Wu & Dezhi Xu, 2020. "A Novel Command-Filtered Adaptive Backstepping Control Strategy with Prescribed Performance for Photovoltaic Grid-Connected Systems," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:18:p:7429-:d:411321
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    References listed on IDEAS

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    1. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    2. Yu Li & Masato Ishikawa, 2017. "An Efficient Reactive Power Control Method for Power Network Systems with Solar Photovoltaic Generators Using Sparse Optimization," Energies, MDPI, vol. 10(5), pages 1-14, May.
    3. Sheng Li & Zhinong Wei & Yanan Ma, 2018. "Fuzzy Load-Shedding Strategy Considering Photovoltaic Output Fluctuation Characteristics and Static Voltage Stability," Energies, MDPI, vol. 11(4), pages 1-18, March.
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    Cited by:

    1. Humberto Vidal & Marco Rivera & Patrick Wheeler & Nicolás Vicencio, 2020. "The Analysis Performance of a Grid-Connected 8.2 kWp Photovoltaic System in the Patagonia Region," Sustainability, MDPI, vol. 12(21), pages 1-16, November.
    2. Naamane Debdouche & Brahim Deffaf & Habib Benbouhenni & Zarour Laid & Mohamed I. Mosaad, 2023. "Direct Power Control for Three-Level Multifunctional Voltage Source Inverter of PV Systems Using a Simplified Super-Twisting Algorithm," Energies, MDPI, vol. 16(10), pages 1-32, May.

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