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Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy

Author

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  • Saad, Naggar H.
  • Sattar, Ahmed A.
  • Mansour, Abd El-Aziz M.

Abstract

Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag at stator/grid side. To secure power system operation wind turbines have to meet grid requirements through the Low voltage ride through (LVRT) capability and contribute to grid voltage control during severe situations. This paper presents the modeling and control designs for WECS based on a real model of DFIG taking into account the effect of stator resistance. The non-linear control technique using sliding mode control (SMC) strategy is used to alter the dynamics of 1.5 MW wind turbine system connected to the grid under severe faults of grid voltage. The paper, also discusses the transient behavior and points out the performance limit for LVRT by using two protection circuits of an AC-crowbar and a DC-Chopper which follow a developed flowchart of system protection modes under fault which achieved LVRT requirements through results. The model has been implemented in MATLAB/SIMULINK for both rotor and grid side converters.

Suggested Citation

  • Saad, Naggar H. & Sattar, Ahmed A. & Mansour, Abd El-Aziz M., 2015. "Low voltage ride through of doubly-fed induction generator connected to the grid using sliding mode control strategy," Renewable Energy, Elsevier, vol. 80(C), pages 583-594.
    • Handle: RePEc:eee:renene:v:80:y:2015:i:c:p:583-594
    DOI: 10.1016/j.renene.2015.02.054
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    Citations

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    Cited by:

    1. Darvish Falehi, Ali, 2020. "An innovative optimal RPO-FOSMC based on multi-objective grasshopper optimization algorithm for DFIG-based wind turbine to augment MPPT and FRT capabilities," Chaos, Solitons & Fractals, Elsevier, vol. 130(C).
    2. Yang, Bo & Yu, Tao & Shu, Hongchun & Dong, Jun & Jiang, Lin, 2018. "Robust sliding-mode control of wind energy conversion systems for optimal power extraction via nonlinear perturbation observers," Applied Energy, Elsevier, vol. 210(C), pages 711-723.
    3. Shukla, Rishabh Dev & Tripathi, Ramesh Kumar & Thakur, Padmanabh, 2017. "DC grid/bus tied DFIG based wind energy system," Renewable Energy, Elsevier, vol. 108(C), pages 179-193.
    4. El-Kharashi, Eyhab & Farid, Azmy Wadie, 2015. "Accurate assessment of the output energy from the doubly fed induction generators," Energy, Elsevier, vol. 93(P1), pages 406-415.
    5. Raju, S.Krishnama & Pillai, G.N., 2016. "Design and real time implementation of type-2 fuzzy vector control for DFIG based wind generators," Renewable Energy, Elsevier, vol. 88(C), pages 40-50.
    6. M. Kenan Döşoğlu, 2023. "Enhancement of LVRT Capability in DFIG-Based Wind Turbines with STATCOM and Supercapacitor," Sustainability, MDPI, vol. 15(3), pages 1-18, January.
    7. Naderi, Seyed Behzad & Negnevitsky, Michael & Jalilian, Amin & Hagh, Mehrdad Tarafdar, 2016. "Efficient fault ride-through scheme for three phase voltage source inverter-interfaced distributed generation using DC link adjustable resistive type fault current limiter," Renewable Energy, Elsevier, vol. 92(C), pages 484-498.
    8. Aya M. Moheb & Enas A. El-Hay & Attia A. El-Fergany, 2022. "Comprehensive Review on Fault Ride-Through Requirements of Renewable Hybrid Microgrids," Energies, MDPI, vol. 15(18), pages 1-30, September.
    9. Jun Dong & Shengnan Li & Shuijun Wu & Tingyi He & Bo Yang & Hongchun Shu & Jilai Yu, 2017. "Nonlinear Observer-Based Robust Passive Control of Doubly-Fed Induction Generators for Power System Stability Enhancement via Energy Reshaping," Energies, MDPI, vol. 10(8), pages 1-16, July.
    10. Fu, Jianing & Yu, Xiangyang & Gao, Chunyang & Cui, Junda & Li, Youting, 2022. "Nonsingular fast terminal control for the DFIG-based variable-speed hydro-unit," Energy, Elsevier, vol. 244(PA).
    11. Zholtayev, Darkhan & Rubagotti, Matteo & Do, Ton Duc, 2022. "Adaptive super-twisting sliding mode control for maximum power point tracking of PMSG-based wind energy conversion systems," Renewable Energy, Elsevier, vol. 183(C), pages 877-889.
    12. Maha Zoghlami & Ameni Kadri & Faouzi Bacha, 2018. "Analysis and Application of the Sliding Mode Control Approach in the Variable-Wind Speed Conversion System for the Utility of Grid Connection," Energies, MDPI, vol. 11(4), pages 1-17, March.
    13. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    14. Azizi, Askar & Nourisola, Hamid & Shoja-Majidabad, Sajjad, 2019. "Fault tolerant control of wind turbines with an adaptive output feedback sliding mode controller," Renewable Energy, Elsevier, vol. 135(C), pages 55-65.

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