IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i20p3886-d276421.html
   My bibliography  Save this article

Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage

Author

Listed:
  • Yaozhen Han

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

  • Ronglin Ma

    (School of Information Science and Electrical Engineering, Shandong Jiaotong University, Jinan 250357, China)

Abstract

In a wind turbine system, a doubly-fed induction generator (DFIG), with nonlinear and high-dimensional dynamics, is generally subjected to unbalanced grid voltage and unknown uncertainty. This paper proposes a novel adaptive-gain second-order sliding mode direct power control (AGSOSM-DPC) strategy for a wind-turbine-driven DFIG, valid for both balanced and unbalanced grid voltage. The AGSOSM-DPC control scheme is presented in detail to restrain rotor voltage chattering and deal with the scenario of unknown uncertainty upper bound. Stator current harmonics and electromagnetic torque ripples can be simultaneously restrained without phase-locked loop (PLL) and phase sequence decomposition using new active power expression. Adaptive control gains are deduced based on the Lyapunov stability method. Comparative simulations under three DPC schemes are executed on a 2-MW DFIG under both balanced and unbalanced grid voltage. The proposed strategy achieved active and reactive power regulation under a two-phase stationary reference frame for both balanced and unbalanced grid voltage. An uncertainty upper bound is not needed in advance, and the sliding mode control chattering is greatly restrained. The simulation results verify the effectiveness, robustness, and superiority of the AGSOSM-DPC strategy.

Suggested Citation

  • Yaozhen Han & Ronglin Ma, 2019. "Adaptive-Gain Second-Order Sliding Mode Direct Power Control for Wind-Turbine-Driven DFIG under Balanced and Unbalanced Grid Voltage," Energies, MDPI, vol. 12(20), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3886-:d:276421
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/20/3886/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/20/3886/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yaozhen Han & Ronglin Ma & Jinghan Cui, 2018. "Adaptive Higher-Order Sliding Mode Control for Islanding and Grid-Connected Operation of a Microgrid," Energies, MDPI, vol. 11(6), pages 1-17, June.
    2. 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.
    3. Debouza, Mahdi & Al-Durra, Ahmed & Errouissi, Rachid & Muyeen, S.M., 2018. "Direct power control for grid-connected doubly fed induction generator using disturbance observer based control," Renewable Energy, Elsevier, vol. 125(C), pages 365-372.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Habib Benbouhenni & Nicu Bizon, 2021. "Advanced Direct Vector Control Method for Optimizing the Operation of a Double-Powered Induction Generator-Based Dual-Rotor Wind Turbine System," Mathematics, MDPI, vol. 9(19), pages 1-36, September.
    2. Habib Benbouhenni & Nicu Bizon & Ilhami Colak & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Simplified Super Twisting Sliding Mode Approaches of the Double-Powered Induction Generator-Based Multi-Rotor Wind Turbine System," Sustainability, MDPI, vol. 14(9), pages 1-22, April.
    3. Ronglin Ma & Yaozhen Han & Weigang Pan, 2021. "Variable-Gain Super-Twisting Sliding Mode Damping Control of Series-Compensated DFIG-Based Wind Power System for SSCI Mitigation," Energies, MDPI, vol. 14(2), pages 1-20, January.
    4. Ahmed Sobhy & Ahmed G. Abo-Khalil & Dong Lei & Tareq Salameh & Adel Merabet & Malek Alkasrawi, 2022. "Coupling DFIG-Based Wind Turbines with the Grid under Voltage Imbalance Conditions," Sustainability, MDPI, vol. 14(9), pages 1-20, April.
    5. Habib Benbouhenni & Zinelaabidine Boudjema & Nicu Bizon & Phatiphat Thounthong & Noureddine Takorabet, 2022. "Direct Power Control Based on Modified Sliding Mode Controller for a Variable-Speed Multi-Rotor Wind Turbine System Using PWM Strategy," Energies, MDPI, vol. 15(10), pages 1-25, May.
    6. Yaozhen Han & Shuzhen Li & Cuiqi Du, 2020. "Adaptive Higher-Order Sliding Mode Control of Series-Compensated DFIG-Based Wind Farm for Sub-Synchronous Control Interaction Mitigation," Energies, MDPI, vol. 13(20), pages 1-21, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiangwu Yan & Xuewei Sun, 2020. "Inertia and Droop Frequency Control Strategy of Doubly-Fed Induction Generator Based on Rotor Kinetic Energy and Supercapacitor," Energies, MDPI, vol. 13(14), pages 1-19, July.
    2. Grover, Himanshu & Verma, Ashu & Bhatti, T.S., 2022. "DOBC-based frequency & voltage regulation strategy for PV-diesel hybrid microgrid during islanding conditions," Renewable Energy, Elsevier, vol. 196(C), pages 883-900.
    3. Waqas Anjum & Abdul Rashid Husain & Junaidi Abdul Aziz & M Abbas Abbasi & Hasan Alqaraghuli, 2020. "Continuous dynamic sliding mode control strategy of PWM based voltage source inverter under load variations," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-20, February.
    4. Shengqi Zhang & Yateendra Mishra & Bei Yuan & Jianfeng Zhao & Mohammad Shahidehpour, 2018. "Primary Frequency Controller with Prediction-Based Droop Coefficient for Wind-Storage Systems under Spot Market Rules," Energies, MDPI, vol. 11(9), pages 1-19, September.
    5. Ammar Armghan & Muhammad Kashif Azeem & Hammad Armghan & Ming Yang & Fayadh Alenezi & Mudasser Hassan, 2021. "Dynamical Operation Based Robust Nonlinear Control of DC Microgrid Considering Renewable Energy Integration," Energies, MDPI, vol. 14(13), pages 1-23, July.
    6. 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.
    7. Quan-Quan Zhang & Rong-Jong Wai, 2021. "Robust Power Sharing and Voltage Stabilization Control Structure via Sliding-Mode Technique in Islanded Micro-Grid," Energies, MDPI, vol. 14(4), pages 1-27, February.
    8. Tai Li & Leqiu Wang & Yanbo Wang & Guohai Liu & Zhiyu Zhu & Yongwei Zhang & Li Zhao & Zhicheng Ji, 2021. "Data-Driven Virtual Inertia Control Method of Doubly Fed Wind Turbine," Energies, MDPI, vol. 14(17), pages 1-18, September.
    9. Hubert Bialas & Ryszard Pawelek & Irena Wasiak, 2021. "A Simulation Model for Providing Analysis of Wind Farms Frequency and Voltage Regulation Services in an Electrical Power System," Energies, MDPI, vol. 14(8), pages 1-17, April.
    10. Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    11. Tianyu Yang & Bin Wang & Peng Chen, 2020. "Design of a Finite-Time Terminal Sliding Mode Controller for a Nonlinear Hydro-Turbine Governing System," Energies, MDPI, vol. 13(3), pages 1-14, February.
    12. Fatemeh Ghalavand & Behzad Asle Mohammadi Alizade & Hossam Gaber & Hadis Karimipour, 2018. "Microgrid Islanding Detection Based on Mathematical Morphology," Energies, MDPI, vol. 11(10), pages 1-18, October.
    13. Xiangwu Yan & Yang Cui & Sen Cui, 2019. "Control Method of Parallel Inverters with Self-Synchronizing Characteristics in Distributed Microgrid," Energies, MDPI, vol. 12(20), pages 1-20, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:20:p:3886-:d:276421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.