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Dynamic Response of a Permanent Magnet Synchronous Generator to a Wind Gust

Author

Listed:
  • Nicolae Herisanu

    (University Politehnica Timisoara, Timisoara 300006, Romania
    Romanian Academy, Centre for Advanced Technical Research, Timisoara 300223, Romania)

  • Vasile Marinca

    (University Politehnica Timisoara, Timisoara 300006, Romania
    Romanian Academy, Centre for Advanced Technical Research, Timisoara 300223, Romania)

  • Gheorghe Madescu

    (Romanian Academy, Centre for Advanced Technical Research, Timisoara 300223, Romania)

  • Florin Dragan

    (University Politehnica Timisoara, Timisoara 300006, Romania)

Abstract

In this paper, a new analytical approach is proposed to investigate the electrical and mechanical behavior of a low-power permanent magnet synchronous generator (PMSG) in the presence of a wind gust. The proposed model for the wind gust and wind power system was analytically investigated using the optimal auxiliary functions method (OAFM), which has proven to be a reliable tool. The reaction of the system to a wind gust was explicitly obtained, which is useful for stability analysis, protection issues, and risk assessment concerning the PMSG. A substantial reduction of computations in analytically analysing a complicated dynamical system is ensured by this new approach, through some auxiliary functions and convergence-control parameters.

Suggested Citation

  • Nicolae Herisanu & Vasile Marinca & Gheorghe Madescu & Florin Dragan, 2019. "Dynamic Response of a Permanent Magnet Synchronous Generator to a Wind Gust," Energies, MDPI, vol. 12(5), pages 1-11, March.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:5:p:915-:d:212424
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    Citations

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    Cited by:

    1. Rashid Nawaz & Laiq Zada & Abraiz Khattak & Muhammad Jibran & Adam Khan, 2019. "Optimum Solutions of Fractional Order Zakharov–Kuznetsov Equations," Complexity, Hindawi, vol. 2019, pages 1-9, December.
    2. Michał Frant & Stanisław Kachel & Wojciech Maślanka, 2023. "Gust Modeling with State-of-the-Art Computational Fluid Dynamics (CFD) Software and Its Influence on the Aerodynamic Characteristics of an Unmanned Aerial Vehicle," Energies, MDPI, vol. 16(19), pages 1-19, September.
    3. Roberto Ciavarella & Giorgio Graditi & Maria Valenti & Anna Pinnarelli & Giuseppe Barone & Maurizio Vizza & Daniele Menniti & Nicola Sorrentino & Giovanni Brusco, 2021. "Modeling of an Energy Hybrid System Integrating Several Storage Technologies: The DBS Technique in a Nanogrid Application," Sustainability, MDPI, vol. 13(3), pages 1-35, January.
    4. Nicolae Herisanu & Vasile Marinca, 2020. "An Efficient Analytical Approach to Investigate the Dynamics of a Misaligned Multirotor System," Mathematics, MDPI, vol. 8(7), pages 1-18, July.
    5. Rajvikram Madurai Elavarasan & Aritra Ghosh & Tapas K. Mallick & Apoorva Krishnamurthy & Meenal Saravanan, 2019. "Investigations on Performance Enhancement Measures of the Bidirectional Converter in PV–Wind Interconnected Microgrid System," Energies, MDPI, vol. 12(14), pages 1-22, July.
    6. Marinca, Bogdan & Marinca, Vasile & Bogdan, Ciprian, 2021. "Dynamics of SEIR epidemic model by optimal auxiliary functions method," Chaos, Solitons & Fractals, Elsevier, vol. 147(C).
    7. Mohamed El-Borhamy & Essam Eddin M. Rashad & Ismail Sobhy & M. Kamel El-Sayed, 2021. "Modeling and Semi-Analytic Stability Analysis for Dynamics of AC Machines," Mathematics, MDPI, vol. 9(6), pages 1-13, March.
    8. Nicolae Herisanu & Vasile Marinca, 2021. "Analytical Study of Nonlinear Vibration in a Rub-Impact Jeffcott Rotor," Energies, MDPI, vol. 14(24), pages 1-15, December.
    9. Vasile Marinca & Nicolae Herisanu, 2020. "Optimal Auxiliary Functions Method for a Pendulum Wrapping on Two Cylinders," Mathematics, MDPI, vol. 8(8), pages 1-18, August.

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