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Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers

Author

Listed:
  • Takwa Sellami

    (Electrical Department, National Engineering School of Monastir, Monastir 5000, Tunisia
    ECAM-EPMI, Graduate School of Engineering, 95000 Cergy, France)

  • Hanen Berriri

    (Electrical Department, National Engineering School of Monastir, Monastir 5000, Tunisia)

  • Sana Jelassi

    (ECAM-EPMI, Graduate School of Engineering, 95000 Cergy, France)

  • A Moumen Darcherif

    (ECAM-EPMI, Graduate School of Engineering, 95000 Cergy, France)

  • M Faouzi Mimouni

    (Electrical Department, National Engineering School of Monastir, Monastir 5000, Tunisia)

Abstract

The installed energy production capacity of wind turbines is growing intensely on a global scale, making the reliability of wind turbine subsystems of greater significance. However, many faults like Inter-Turn Short-Circuit (ITSC) may affect the turbine generator and quickly lead to a decline in supplied power quality. In this framework, this paper proposes a Sliding Mode Observer (SMO)-based Fault Tolerant Control (FTC) scheme for Induction Generator (IG)-based variable-speed grid-connected wind turbines. First, the dynamic models of the wind turbine subsystems were developed. The control schemes were elaborated based on the Maximum Power Point Tracking (MPPT) method and Indirect Rotor Flux Oriented Control (IRFOC) method. The grid control was also established by regulating the active and reactive powers. The performance of the wind turbine system and the stability of injected power to the grid were hence analyzed under both healthy and faulty conditions. The robust developed SMO-based Fault Detection and Isolation (FDI) scheme was proved to be fast and efficient for ITSC detection and localization.Afterwards, SMO were involved in scheming the FTC technique. Accordingly, simulation results assert the efficacy of the proposed ITSC FTC method for variable-speed wind turbines with faulty IG in protecting the subsystems from damage and ensuring continuous connection of the wind turbine to the grid during ITSC faults, hence maintaining power quality.

Suggested Citation

  • Takwa Sellami & Hanen Berriri & Sana Jelassi & A Moumen Darcherif & M Faouzi Mimouni, 2017. "Short-Circuit Fault Tolerant Control of a Wind Turbine Driven Induction Generator Based on Sliding Mode Observers," Energies, MDPI, vol. 10(10), pages 1-21, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1611-:d:115010
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    References listed on IDEAS

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    1. Mohamed Zribi & Muthana Alrifai & Mohamed Rayan, 2017. "Sliding Mode Control of a Variable- Speed Wind Energy Conversion System Using a Squirrel Cage Induction Generator," Energies, MDPI, vol. 10(5), pages 1-21, May.
    2. Kusiak, Andrew & Li, Wenyan, 2011. "The prediction and diagnosis of wind turbine faults," Renewable Energy, Elsevier, vol. 36(1), pages 16-23.
    3. Hameed, Z. & Hong, Y.S. & Cho, Y.M. & Ahn, S.H. & Song, C.K., 2009. "Condition monitoring and fault detection of wind turbines and related algorithms: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(1), pages 1-39, January.
    4. Zeddini, Mohamed. Ali & Pusca, Remus & Sakly, Anis & Mimouni, M. Faouzi, 2016. "PSO-based MPPT control of wind-driven Self-Excited Induction Generator for pumping system," Renewable Energy, Elsevier, vol. 95(C), pages 162-177.
    5. Zebin Yang & Ling Wan & Xiaodong Sun & Fangli Li & Lin Chen, 2016. "Sliding Mode Variable Structure Control of a Bearingless Induction Motor Based on a Novel Reaching Law," Energies, MDPI, vol. 9(6), pages 1-14, June.
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    Citations

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    Cited by:

    1. Wojciech Pietrowski & Konrad Górny, 2020. "Analysis of Torque Ripples of an Induction Motor Taking into Account a Inter-Turn Short-Circuit in a Stator Winding," Energies, MDPI, vol. 13(14), pages 1-19, July.
    2. Yun-Tao Shi & Xiang Xiang & Li Wang & Yuan Zhang & De-Hui Sun, 2018. "Stochastic Model Predictive Fault Tolerant Control Based on Conditional Value at Risk for Wind Energy Conversion System," Energies, MDPI, vol. 11(1), pages 1-20, January.
    3. Nikola Lopac & Neven Bulic & Niksa Vrkic, 2019. "Sliding Mode Observer-Based Load Angle Estimation for Salient-Pole Wound Rotor Synchronous Generators," Energies, MDPI, vol. 12(9), pages 1-22, April.
    4. Koldo Redondo & José Julio Gutiérrez & Izaskun Azcarate & Purificación Saiz & Luis Alberto Leturiondo & Sofía Ruiz de Gauna, 2019. "Experimental Study of the Summation of Flicker Caused by Wind Turbines," Energies, MDPI, vol. 12(12), pages 1-13, June.
    5. Mateusz Dybkowski & Szymon Antoni Bednarz, 2019. "Modified Rotor Flux Estimators for Stator-Fault-Tolerant Vector Controlled Induction Motor Drives," Energies, MDPI, vol. 12(17), pages 1-21, August.
    6. Grzegorz Tarchała & Marcin Wolkiewicz, 2019. "Performance of the Stator Winding Fault Diagnosis in Sensorless Induction Motor Drive," Energies, MDPI, vol. 12(8), pages 1-20, April.
    7. Qinyue Zhu & Zhaoyang Li & Xitang Tan & Dabo Xie & Wei Dai, 2019. "Sensors Fault Diagnosis and Active Fault-Tolerant Control for PMSM Drive Systems Based on a Composite Sliding Mode Observer," Energies, MDPI, vol. 12(9), pages 1-20, May.

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