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Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller

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  • Minh Quan Duong

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milano, Italy
    Department of Electrical Engineering, University of Science and Technology—The University of Da Nang, Block A, 54 Nguyen Luong Bang Street, LienChieu District, DaNang City 59000, Vietnam)

  • Francesco Grimaccia

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milano, Italy)

  • Sonia Leva

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milano, Italy)

  • Marco Mussetta

    (Politecnico di Milano, Dipartimento di Energia, Via La Masa 34, 20156 Milano, Italy)

  • Kim Hung Le

    (Department of Electrical Engineering, University of Science and Technology—The University of Da Nang, Block A, 54 Nguyen Luong Bang Street, LienChieu District, DaNang City 59000, Vietnam)

Abstract

A common problem in wind power plants involves fixed-speed wind turbines. In fact, being equipped with a squirrel-cage induction generator (SCIG), they tend to drain a relevant amount of reactive power from the grid, potentially causing voltage drops and possible voltage instability. To improve SCIG power quality and transient stability, this paper investigates a new control strategy for pitch angle control based on proportional-integral (PI) controller and a fuzzy logic controller (FLC), considering both normal and fault ride-through (FRT) schemes. In the literature, often, the mechanical torque output is assumed constant for a specific wind speed. This might not be accurate, because the mechanical torque-speed typical of a wind turbine depends also on the power coefficient or pitch angle. In this paper, an analytic model of transient stability is proposed using the equivalent circuit of the SCIG and using the concepts of stable and unstable electrical-mechanical equilibrium. The method has been evaluated by comparing the results obtained by the analytic method with the dynamic simulation. The results show that the proposed hybrid controller is effective at smoothing the output power and complying with FRT requirements for SCIG in the power system.

Suggested Citation

  • Minh Quan Duong & Francesco Grimaccia & Sonia Leva & Marco Mussetta & Kim Hung Le, 2015. "Improving Transient Stability in a Grid-Connected Squirrel-Cage Induction Generator Wind Turbine System Using a Fuzzy Logic Controller," Energies, MDPI, vol. 8(7), pages 1-22, June.
    • Handle: RePEc:gam:jeners:v:8:y:2015:i:7:p:6328-6349:d:51641
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    References listed on IDEAS

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    8. Li, H. & Zhao, B. & Yang, C. & Chen, H.W. & Chen, Z., 2011. "Analysis and estimation of transient stability for a grid-connected wind turbine with induction generator," Renewable Energy, Elsevier, vol. 36(5), pages 1469-1476.
    9. Duong, Minh Quan & Grimaccia, Francesco & Leva, Sonia & Mussetta, Marco & Ogliari, Emanuele, 2014. "Pitch angle control using hybrid controller for all operating regions of SCIG wind turbine system," Renewable Energy, Elsevier, vol. 70(C), pages 197-203.
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    Cited by:

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    8. Jamal Abd Ali & Mahammad A Hannan & Azah Mohamed, 2015. "A Novel Quantum-Behaved Lightning Search Algorithm Approach to Improve the Fuzzy Logic Speed Controller for an Induction Motor Drive," Energies, MDPI, vol. 8(11), pages 1-25, November.
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    10. 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.
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    13. Jaber Valinejad & Mousa Marzband & Mudathir Funsho Akorede & Ian D Elliott & Radu Godina & João Carlos de Oliveira Matias & Edris Pouresmaeil, 2018. "Long-Term Decision on Wind Investment with Considering Different Load Ranges of Power Plant for Sustainable Electricity Energy Market," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
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