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Inertia Provision and Small Signal Stability Analysis of a Wind-Power Generation System Using Phase-Locked Synchronized Equation

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  • Yifei Wang

    (School of Automation, Wuhan University of Technology, No. 205 Luoshi Rd., Wuhan 430070, China
    Intelligent Transportation System Program, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53706, USA)

  • Youxin Yuan

    (School of Automation, Wuhan University of Technology, No. 205 Luoshi Rd., Wuhan 430070, China)

Abstract

The inertia and damping of the modern power system are consistently decreased when wind energy has a high penetration level into the grid. This paper proposes a novel solution through transforming the wind turbine generator into an equivalent motion equation mimicking the basic characteristics of the synchronous generator (SG). This synchronized equation builds upon the phase-locked loop (PLL) model of the doubly-fed induction generator (DFIG), which characterizes the inertia constant, damping coefficient, and synchronizing torque. Thanks to this work, the dynamic performance of the inverter-based asynchronous generator could be analyzed from the perspective of the classical rotor motion equation. It further enables us to employ the analogy method to provide the DFIG with automated frequency response ability and to estimate the inertia constant quantitatively. Results also manifest that based on the synchronized equation, the PLL forms a power system stabilizer to enhance the power system oscillation. Hence, parameters tuning in PLL for coordinating inertia provision and damping enhancement are introduced. The contribution of this study lies in that the equivalent synchronized equation is established to optimize the system operation without alterations in the existing control structure of the DFIG. The theoretical analysis and the strategy are verified through the power system simulator.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1400-:d:211560
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    References listed on IDEAS

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    1. Wuhui Chen & Zaixing Teng & Junhua Zhao & Jing Qiu, 2018. "Small-Signal Performance of Type 4 Wind Turbine Generator-Based Clusters in Power Systems," Energies, MDPI, vol. 11(6), pages 1-16, June.
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    4. Tiejiang Yuan & Jinjun Wang & Yuhang Guan & Zheng Liu & Xinfu Song & Yong Che & Wenping Cao, 2018. "Virtual Inertia Adaptive Control of a Doubly Fed Induction Generator (DFIG) Wind Power System with Hydrogen Energy Storage," Energies, MDPI, vol. 11(4), pages 1-16, April.
    5. Thongchart Kerdphol & Fathin Saifur Rahman & Yasunori Mitani, 2018. "Virtual Inertia Control Application to Enhance Frequency Stability of Interconnected Power Systems with High Renewable Energy Penetration," Energies, MDPI, vol. 11(4), pages 1-16, April.
    6. Yanfeng Ma & Jia Liu & Haihang Liu & Shuqiang Zhao, 2018. "Active-Reactive Additional Damping Control of a Doubly-Fed Induction Generator Based on Active Disturbance Rejection Control," Energies, MDPI, vol. 11(5), pages 1-18, May.
    7. Sohail Khan & Benoit Bletterie & Adolfo Anta & Wolfgang Gawlik, 2018. "On Small Signal Frequency Stability under Virtual Inertia and the Role of PLLs," Energies, MDPI, vol. 11(9), pages 1-18, September.
    8. Kamal Shahid & Müfit Altin & Lars Møller Mikkelsen & Rasmus Løvenstein Olsen & Florin Iov, 2018. "ICT Based Performance Evaluation of Primary Frequency Control Support from Renewable Power Plants in Smart Grids," Energies, MDPI, vol. 11(6), pages 1-26, May.
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    Cited by:

    1. 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.
    2. Aliyu Sabo & Noor Izzri Abdul Wahab & Mohammad Lutfi Othman & Mai Zurwatul Ahlam Mohd Jaffar & Hakan Acikgoz & Hamzeh Beiranvand, 2020. "Application of Neuro-Fuzzy Controller to Replace SMIB and Interconnected Multi-Machine Power System Stabilizers," Sustainability, MDPI, vol. 12(22), pages 1-42, November.

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