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A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator

Author

Listed:
  • Oscar Barambones

    (Engineering School of Vitoria, University of the Basque Country, Nieves Cano 12, 01006 Vitoria, Spain)

  • Jose A. Cortajarena

    (Engineering School of Eibar, University of the Basque Country, Otaola, 29, 20600 Eibar, Spain)

  • Patxi Alkorta

    (Engineering School of Eibar, University of the Basque Country, Otaola, 29, 20600 Eibar, Spain)

  • Jose M. Gonzalez De Durana

    (Engineering School of Vitoria, University of the Basque Country, Nieves Cano 12, 01006 Vitoria, Spain)

Abstract

In this paper, a real time sliding mode control scheme for a variable speed wind turbine that incorporates a doubly feed induction generator is described. In this design, the so-called vector control theory is applied, in order to simplify the system electrical equations. The proposed control scheme involves a low computational cost and therefore can be implemented in real-time applications using a low cost Digital Signal Processor (DSP). The stability analysis of the proposed sliding mode controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory. A new experimental platform has been designed and constructed in order to analyze the real-time performance of the proposed controller in a real system. Finally, the experimental validation carried out in the experimental platform shows; on the one hand that the proposed controller provides high-performance dynamic characteristics, and on the other hand that this scheme is robust with respect to the uncertainties that usually appear in the real systems.

Suggested Citation

  • Oscar Barambones & Jose A. Cortajarena & Patxi Alkorta & Jose M. Gonzalez De Durana, 2014. "A Real-Time Sliding Mode Control for a Wind Energy System Based on a Doubly Fed Induction Generator," Energies, MDPI, vol. 7(10), pages 1-22, October.
  • Handle: RePEc:gam:jeners:v:7:y:2014:i:10:p:6412-6433:d:40982
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    References listed on IDEAS

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    1. Jui-Ho Chen & Her-Terng Yau & Weir Hung, 2014. "Design and Study on Sliding Mode Extremum Seeking Control of the Chaos Embedded Particle Swarm Optimization for Maximum Power Point Tracking in Wind Power Systems," Energies, MDPI, vol. 7(3), pages 1-15, March.
    2. Jaime Rodríguez Arribas & Adrián Fernández Rodríguez & Ángel Hermoso Muñoz & Carlos Veganzones Nicolás, 2014. "Low Voltage Ride-through in DFIG Wind Generators by Controlling the Rotor Current without Crowbars," Energies, MDPI, vol. 7(2), pages 1-22, January.
    3. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    4. Rui You & Braulio Barahona & Jianyun Chai & Nicolaos A. Cutululis, 2013. "A Novel Wind Turbine Concept Based on an Electromagnetic Coupler and the Study of Its Fault Ride-through Capability," Energies, MDPI, vol. 6(11), pages 1-17, November.
    5. Yun Wang & Qiuwei Wu & Honghua Xu & Qinglai Guo & Hongbin Sun, 2014. "Fast Coordinated Control of DFIG Wind Turbine Generators for Low and High Voltage Ride-Through," Energies, MDPI, vol. 7(7), pages 1-17, June.
    6. Oscar Barambones, 2012. "Sliding Mode Control Strategy for Wind Turbine Power Maximization," Energies, MDPI, vol. 5(7), pages 1-21, July.
    7. Yolanda Vidal & Leonardo Acho & Ningsu Luo & Mauricio Zapateiro & Francesc Pozo, 2012. "Power Control Design for Variable-Speed Wind Turbines," Energies, MDPI, vol. 5(8), pages 1-18, August.
    8. Andrés Bravo Cuesta & Francisco Javier Gomez-Gil & Juan Vicente Martín Fraile & Jesús Ausín Rodríguez & Justo Ruiz Calvo & Jesús Peláez Vara, 2013. "Feasibility of a Simple Small Wind Turbine with Variable-Speed Regulation Made of Commercial Components," Energies, MDPI, vol. 6(7), pages 1-19, July.
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    Cited by:

    1. Younes Azelhak & Loubna Benaaouinate & Hicham Medromi & Youssef Errami & Tarik Bouragba & Damien Voyer, 2021. "Exhaustive Comparison between Linear and Nonlinear Approaches for Grid-Side Control of Wind Energy Conversion Systems," Energies, MDPI, vol. 14(13), pages 1-20, July.
    2. Irfan Sami & Shafaat Ullah & Zahoor Ali & Nasim Ullah & Jong-Suk Ro, 2020. "A Super Twisting Fractional Order Terminal Sliding Mode Control for DFIG-Based Wind Energy Conversion System," Energies, MDPI, vol. 13(9), pages 1-20, May.
    3. Mohammed Mazen Alhato & Soufiene Bouallègue & Hegazy Rezk, 2020. "Modeling and Performance Improvement of Direct Power Control of Doubly-Fed Induction Generator Based Wind Turbine through Second-Order Sliding Mode Control Approach," Mathematics, MDPI, vol. 8(11), pages 1-31, November.
    4. Dinh-Chung Phan & Shigeru Yamamoto, 2015. "Maximum Energy Output of a DFIG Wind Turbine Using an Improved MPPT-Curve Method," Energies, MDPI, vol. 8(10), pages 1-19, October.
    5. Kai Ji & Shenghua Huang, 2018. "Direct Flux Control for Stand-Alone Operation Brushless Doubly Fed Induction Generators Using a Resonant-Based Sliding-Mode Control Approach," Energies, MDPI, vol. 11(4), pages 1-22, April.
    6. Markel Penalba & José-Antonio Cortajarena & John V. Ringwood, 2017. "Validating a Wave-to-Wire Model for a Wave Energy Converter—Part II: The Electrical System," Energies, MDPI, vol. 10(7), pages 1-24, July.
    7. Aman Abdulla Tanvir & Adel Merabet & Rachid Beguenane, 2015. "Real-Time Control of Active and Reactive Power for Doubly Fed Induction Generator (DFIG)-Based Wind Energy Conversion System," Energies, MDPI, vol. 8(9), pages 1-20, September.
    8. Mohammed Mazen Alhato & Mohamed N. Ibrahim & Hegazy Rezk & Soufiene Bouallègue, 2021. "An Enhanced DC-Link Voltage Response for Wind-Driven Doubly Fed Induction Generator Using Adaptive Fuzzy Extended State Observer and Sliding Mode Control," Mathematics, MDPI, vol. 9(9), pages 1-18, April.

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