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An Improved Maximum Power Point Tracking Method for Wind Power Systems

Author

Listed:
  • Hae Gwang Jeong

    (Department of Electrics Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Kyunggi-do, Korea)

  • Ro Hak Seung

    (Department of Electrics Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Kyunggi-do, Korea)

  • Kyo Beum Lee

    (Department of Electrics Engineering, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon 443-749, Kyunggi-do, Korea)

Abstract

This paper proposes an improved maximum power point tracking (MPPT) method for wind power systems. The proposed method combines hysteresis control with tip speed ratio (TSR) control using a power coefficient curve. It has fast dynamic characteristics with the TSR control using data obtained from an anemometer. Moreover it can track the maximum power point (MPP) with hysteresis control even when there is incomplete data. Since the proposed method selects the operating mode according to the operation state of the generator of three control modes, the controllers do not interfere with each other and they provide excellent performance. The effectiveness of the proposed algorithm is verified by simulation and experiments based on a 3 kW wind turbine system.

Suggested Citation

  • Hae Gwang Jeong & Ro Hak Seung & Kyo Beum Lee, 2012. "An Improved Maximum Power Point Tracking Method for Wind Power Systems," Energies, MDPI, vol. 5(5), pages 1-16, May.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:5:p:1339-1354:d:17589
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    Citations

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    Cited by:

    1. SungHoon Lim & Taewan Kim & Kipo Yoon & DongHee Choi & Jung-Wook Park, 2022. "A Study on Frequency Stability and Primary Frequency Response of the Korean Electric Power System Considering the High Penetration of Wind Power," Energies, MDPI, vol. 15(5), pages 1-16, February.
    2. Shoudao Huang & Yang Zhang & Zhikang Shuai, 2016. "Capacitor Voltage Ripple Suppression for Z-Source Wind Energy Conversion System," Energies, MDPI, vol. 9(1), pages 1-15, January.
    3. Yeongsu Bak & Eunsil Lee & Kyo-Beum Lee, 2015. "Indirect Matrix Converter for Hybrid Electric Vehicle Application with Three-Phase and Single-Phase Outputs," Energies, MDPI, vol. 8(5), pages 1-18, April.
    4. Bo Li & Wenhu Tang & Kaishun Xiahou & Qinghua Wu, 2017. "Development of Novel Robust Regulator for Maximum Wind Energy Extraction Based upon Perturbation and Observation," Energies, MDPI, vol. 10(4), pages 1-21, April.
    5. Constantin Voloşencu, 2021. "A Comparative Analysis of Some Methods for Wind Turbine Maximum Power Point Tracking," Mathematics, MDPI, vol. 9(19), pages 1-33, September.
    6. Tania García-Sánchez & Arbinda Kumar Mishra & Elías Hurtado-Pérez & Rubén Puché-Panadero & Ana Fernández-Guillamón, 2020. "A Controller for Optimum Electrical Power Extraction from a Small Grid-Interconnected Wind Turbine," Energies, MDPI, vol. 13(21), pages 1-16, November.
    7. Héctor Zazo & Esteban Del Castillo & Jean François Reynaud & Ramon Leyva, 2012. "MPPT for Photovoltaic Modules via Newton-Like Extremum Seeking Control," Energies, MDPI, vol. 5(8), pages 1-15, July.
    8. Tripathi, S.M. & Tiwari, A.N. & Singh, Deependra, 2015. "Grid-integrated permanent magnet synchronous generator based wind energy conversion systems: A technology review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1288-1305.
    9. 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.
    10. Yeongsu Bak & June-Seok Lee & Kyo-Beum Lee, 2016. "Balanced Current Control Strategy for Current Source Rectifier Stage of Indirect Matrix Converter under Unbalanced Grid Voltage Conditions," Energies, MDPI, vol. 10(1), pages 1-18, December.
    11. Hae-Gwang Jeong & Gwang-Seob Kim & Kyo-Beum Lee, 2013. "Second-Order Harmonic Reduction Technique for Photovoltaic Power Conditioning Systems Using a Proportional-Resonant Controller," Energies, MDPI, vol. 6(1), pages 1-18, January.
    12. Pustina, L. & Biral, F. & Serafini, J., 2022. "A novel Economic Nonlinear Model Predictive Controller for power maximisation on wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    13. Akour, Salih N. & Al-Heymari, Mohammed & Ahmed, Talha & Khalil, Kamel Ali, 2018. "Experimental and theoretical investigation of micro wind turbine for low wind speed regions," Renewable Energy, Elsevier, vol. 116(PA), pages 215-223.
    14. Phan, Dinh-Chung & Yamamoto, Shigeru, 2016. "Rotor speed control of doubly fed induction generator wind turbines using adaptive maximum power point tracking," Energy, Elsevier, vol. 111(C), pages 377-388.
    15. Emejeamara, F.C. & Tomlin, A.S. & Millward-Hopkins, J.T., 2015. "Urban wind: Characterisation of useful gust and energy capture," Renewable Energy, Elsevier, vol. 81(C), pages 162-172.
    16. Njiri, Jackson G. & Söffker, Dirk, 2016. "State-of-the-art in wind turbine control: Trends and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 377-393.
    17. Johan Forslund & Staffan Lundin & Karin Thomas & Mats Leijon, 2015. "Experimental Results of a DC Bus Voltage Level Control for a Load-Controlled Marine Current Energy Converter," Energies, MDPI, vol. 8(5), pages 1-15, May.

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