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Voltage Unbalance Control Strategy for Local Shading Photovoltaic Grid-Connected System

Author

Listed:
  • Pingye Wan

    (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China)

  • Miao Huang

    (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China)

  • Jinshan Mou

    (Shanghai Energy Technology Development Co., Ltd., Shanghai 200233, China)

  • Lili Tao

    (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China)

  • Shuping Zhang

    (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China)

  • Zhihua Hu

    (School of Intelligent Manufacturing and Control Engineering, Shanghai Polytechnic University, Shanghai 201209, China)

Abstract

In view of the sudden grid voltage distortions, such as voltage sags and unbalances, that may occur in photovoltaic (PV) grid-connected systems under local shading conditions, this paper proposes a control strategy integrating a linear active disturbance rejection controller (LADRC)-based virtual synchronous generator (VSG) and an active disturbance rejection controller (ADRC)-based dynamic voltage restorer (DVR). To enhance the stability and response speed of the PV inverter system, a novel LADRC-based voltage–current dual closed-loop control strategy with pre-synchronization is designed, ensuring stable operation of the inverter and load. To address the overshooting issues found in traditional PI control under local shading, the ADRC-based DVR compensates for PV system voltage fluctuations, achieving rapid voltage distortion compensation and ensuring grid-connected system safety. Simulink experiments verify the feasibility and effectiveness of the proposed control strategy in improving transient voltage quality in PV systems affected by local shading. The total harmonic distortion rates of voltage and current are both less than 0.5%, which significantly improves the performance compared to existing research.

Suggested Citation

  • Pingye Wan & Miao Huang & Jinshan Mou & Lili Tao & Shuping Zhang & Zhihua Hu, 2025. "Voltage Unbalance Control Strategy for Local Shading Photovoltaic Grid-Connected System," Energies, MDPI, vol. 18(3), pages 1-24, January.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:3:p:554-:d:1576548
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    References listed on IDEAS

    as
    1. Ji, Feng & Xu, Z., 2024. "Increased LVRT capability for VSG-based grid-tied converters," Applied Energy, Elsevier, vol. 369(C).
    2. Zhi-Kai Fan & Annisa Setianingrum & Kuo-Lung Lian & Suwarno Suwarno, 2024. "A Hybrid Approach for Photovoltaic Maximum Power Tracking under Partial Shading Using Honey Badger and Genetic Algorithms," Energies, MDPI, vol. 17(16), pages 1-16, August.
    3. Musong L. Katche & Augustine B. Makokha & Siagi O. Zachary & Muyiwa S. Adaramola, 2023. "A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems," Energies, MDPI, vol. 16(5), pages 1-23, February.
    4. Ali Moghassemi & Sanjeevikumar Padmanaban, 2020. "Dynamic Voltage Restorer (DVR): A Comprehensive Review of Topologies, Power Converters, Control Methods, and Modified Configurations," Energies, MDPI, vol. 13(16), pages 1-38, August.
    5. Jeongwon Han & Hyunjae Lee & Jingeun Shon, 2024. "Improvement of Power Production Efficiency Following the Application of the GD InC Maximum Power Point Tracking Method in Photovoltaic Systems," Energies, MDPI, vol. 17(20), pages 1-12, October.
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