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Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy

Author

Listed:
  • Arthur Medeiros

    (Federal Institute of Education, Science and Technology of Rio Grande do Norte, Campus Natal – Zona Norte, Natal 59112-490, Brazil)

  • Thales Ramos

    (Federal Institute of Education, Science and Technology of Rio Grande do Norte, Campus Santa Cruz, Santa Cruz 59200-000, Brazil)

  • José Tavares de Oliveira

    (Department of Electrical Engineering, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil)

  • Manoel F. Medeiros Júnior

    (Department of Computer Engineering and Automation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil)

Abstract

The major objective of the investigation reported in this article is to demonstrate the feasibility of controlling a Doubly Fed Induction Generator actuating directly on the rotor voltage produced by the Rotor Side Converter, as its reference value may be determined analytically, after definition of the control objective. Two usual objectives are here considered: maximum power extraction from wind (MPPT) and stator reactive power equal to zero. This last objective defines the reference slip to be considered in the formulation of developed power that, jointly with the reactive power equation, forms the system to calculate the rotor reference voltages. The process is completed by specifying the desired dynamical response. Thus, the angular velocity of the rotor should quickly reach its reference value, which requires maximal power acceleration at the beginning, but respects the restriction that no overshoot should be allowed. This is achieved by means of a constrained optimization process solved in real time. Following recent trends, only measurements obtained from stator (voltages and currents) sensors are used. This way, angular velocity and rotor currents are estimated in real time. An algorithm for inductance estimation is also included, which prevents deviations of nominal values that could lead to false reference voltages.

Suggested Citation

  • Arthur Medeiros & Thales Ramos & José Tavares de Oliveira & Manoel F. Medeiros Júnior, 2020. "Direct Voltage Control of a Doubly Fed Induction Generator by Means of Optimal Strategy," Energies, MDPI, vol. 13(3), pages 1-28, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:3:p:770-:d:318855
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    References listed on IDEAS

    as
    1. 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.
    2. Arzhang Yousefi-Talouki & Shaghayegh Zalzar & Edris Pouresmaeil, 2019. "Direct Power Control of Matrix Converter-Fed DFIG with Fixed Switching Frequency," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    3. David G. Luenberger & Yinyu Ye, 2008. "Linear and Nonlinear Programming," International Series in Operations Research and Management Science, Springer, edition 0, number 978-0-387-74503-9, July-Dece.
    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. 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.
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    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. Cristian Napole & Oscar Barambones & Mohamed Derbeli & José Antonio Cortajarena & Isidro Calvo & Patxi Alkorta & Pablo Fernandez Bustamante, 2021. "Double Fed Induction Generator Control Design Based on a Fuzzy Logic Controller for an Oscillating Water Column System," Energies, MDPI, vol. 14(12), pages 1-19, June.

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