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Resonance Detection Strategy for Multi-Parallel Inverter-Based Grid-Connected Renewable Power System Using Cascaded SOGI-FLL

Author

Listed:
  • Wu Cao

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China
    Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Nanjing 210096, China)

  • Kangli Liu

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Haotian Kang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Shunyu Wang

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

  • Dongchen Fan

    (State Grid Jiangsu Electric Power Co., Ltd. Research Institute., Nanjing 210096, China)

  • Jianfeng Zhao

    (School of Electrical Engineering, Southeast University, Nanjing 210096, China)

Abstract

The increasing use of multi-parallel grid-connected inverters introduces both high-quality and high-capacity power, while it tends to cause a resonance instability problem. A resonance damper can virtualize a resistor at resonant frequency to suppress the instability effectively, but the resonant frequency should be detected primarily. However, the resonant current or voltage is severely distorted and oscillating, which will lead to the resonant frequency extraction being more difficult. To address it, this paper proposes a resonance detection strategy based on the cascaded second-order generalized integrators (SOGI) and the normalized frequency locked loop (FLL). The cascaded structure ensures the accuracy by completely filtering the fundamental component from the detected voltage or current, and the normalization accelerates the frequency detection. The proposed method can be used as a crucial unit of the resonance damping controller. Finally, the performance of the proposed method is verified by the MATLAB-based simulation and Hardware-in-the-Loop (HIL)-based emulation results.

Suggested Citation

  • Wu Cao & Kangli Liu & Haotian Kang & Shunyu Wang & Dongchen Fan & Jianfeng Zhao, 2019. "Resonance Detection Strategy for Multi-Parallel Inverter-Based Grid-Connected Renewable Power System Using Cascaded SOGI-FLL," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4839-:d:264154
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    References listed on IDEAS

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    1. Yifei Wang & Youxin Yuan, 2019. "Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation," Sustainability, MDPI, vol. 11(5), pages 1-21, March.
    2. Wu Cao & Kangli Liu & Shunyu Wang & Haotian Kang & Dongchen Fan & Jianfeng Zhao, 2019. "Harmonic Stability Analysis for Multi-Parallel Inverter-Based Grid-Connected Renewable Power System Using Global Admittance," Energies, MDPI, vol. 12(14), pages 1-16, July.
    3. Jingrong Yu & Limin Deng & Dongran Song & Maolin Pei, 2019. "Wide Bandwidth Control for Multi-Parallel Grid-Connected Inverters with Harmonic Compensation," Energies, MDPI, vol. 12(3), pages 1-22, February.
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    Cited by:

    1. Syed Wajahat Ali & Chun-Lien Su & Anant Kumar Verma & Claudio Burgos Mellado & Catalina Gonzalez-Castano, 2023. "Enhancing Single-Phase Grid Integration Capability of PMSG-Based Wind Turbines to Support Grid Operation under Adverse Conditions," Sustainability, MDPI, vol. 15(13), pages 1-19, July.

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