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A Novel Sliding Mode Control Scheme for a PMSG-Based Variable Speed Wind Energy Conversion System

Author

Listed:
  • Florentino Chavira

    (University Center for Exact Sciences and Engineering, University of de Guadalajara, Guadalajara 44430, Mexico
    These authors contributed equally to this work.)

  • S. Ortega-Cisneros

    (Advanced Studies and Research Center (CINVESTAV), National Polytechnic Institute (IPN), Guadalajara Campus, Zapopan 45015, Mexico
    These authors contributed equally to this work.)

  • Jorge Rivera

    (CONACYT–Advanced Studies and Research Center (CINVESTAV), National Polytechnic Institute (IPN), Guadalajara Campus, Zapopan 45015, Mexico
    These authors contributed equally to this work.)

Abstract

This work proposes a novel control scheme for a variable speed wind turbine system based on the permanent magnet synchronous generator. Regions II and III for a wind speed profile are considered, hence the control is designed for maximizing the generated power from the wind turbine when the wind speed is below the nominal wind speed, and to saturate the generated power when the wind speed is above its nominal value in order to avoid damage to the system. Based on nonlinear models, the control scheme is also designed for introducing robustness to the closed-loop system. The pitch angle reference signal is also designed based on a mathematical model of the system, yielding in that way to a great performance of the wind turbine as predicted by the numeric simulations.

Suggested Citation

  • Florentino Chavira & S. Ortega-Cisneros & Jorge Rivera, 2017. "A Novel Sliding Mode Control Scheme for a PMSG-Based Variable Speed Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-13, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:10:p:1476-:d:113028
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    References listed on IDEAS

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    1. Shafiee, Shahriar & Topal, Erkan, 2009. "When will fossil fuel reserves be diminished?," Energy Policy, Elsevier, vol. 37(1), pages 181-189, January.
    2. Jiaqi Shi & Ling Wang & Yingrui Wang & Jianhua Zhang, 2017. "Generalized Energy Flow Analysis Considering Electricity Gas and Heat Subsystems in Local-Area Energy Systems Integration," Energies, MDPI, vol. 10(4), pages 1-17, April.
    3. Adnan Ahmad & Asif Khan & Nadeem Javaid & Hafiz Majid Hussain & Wadood Abdul & Ahmad Almogren & Atif Alamri & Iftikhar Azim Niaz, 2017. "An Optimized Home Energy Management System with Integrated Renewable Energy and Storage Resources," Energies, MDPI, vol. 10(4), pages 1-35, April.
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    Citations

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    Cited by:

    1. Zhijie Liu & Kejun Li & Yuanyuan Sun & Jinyu Wang & Zhuodi Wang & Kaiqi Sun & Meiyan Wang, 2018. "A Steady-State Analysis Method for Modular Multilevel Converters Connected to Permanent Magnet Synchronous Generator-Based Wind Energy Conversion Systems," Energies, MDPI, vol. 11(2), pages 1-31, February.
    2. Thales Ramos & Manoel F. Medeiros Júnior & Ricardo Pinheiro & Arthur Medeiros, 2019. "Slip Control of a Squirrel Cage Induction Generator Driven by an Electromagnetic Frequency Regulator to Achieve the Maximum Power Point Tracking," Energies, MDPI, vol. 12(11), pages 1-19, June.
    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. Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    5. Juan I. Talpone & Paul F. Puleston & Marcelo G. Cendoya & José. A. Barrado-Rodrigo, 2019. "A Dual-Stator Winding Induction Generator Based Wind-Turbine Controlled via Super-Twisting Sliding Mode," Energies, MDPI, vol. 12(23), pages 1-20, November.

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