IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v335y2025ics0360544225035455.html

Wind turbine power conversion topology with machine side fault detection and classification method

Author

Listed:
  • Yilmaz, Unal

Abstract

In grid-tied wind turbine power conversion systems, accurate detection and classification of inter-phase and ground faults on the generator side enable proactive mitigation of adverse effects such as DC-link voltage instability, increased electrical stress on power electronic components, and the injection of high-order harmonic currents into the utility grid, thereby enhancing overall system reliability and power quality. In this study, a power system structure that includes permanent magnet synchronous generator (PMSG) and LCL filter connection for single phase grid-tied wind turbine and also enables injecting current to grid with low harmonic distortion and high power factor with synchronous performance of phase locked loop (PLL) and proportional resonance (PR) controllers is proposed. In addition, fault detection and classification processes are provided by Gaussian Process (GPR) and Support Vector Machine (SVM), respectively.The study was tested on a prototype with a nominal power of 3 kW under 8 different conditions, including fault-free and 7 different faults. Additionally, to verify the reliability of the system, even at suddenly changing wind speeds (12 m/s to 16 m/s) under fault-free condition, grid-side power factor was >0.98 and grid current THD was <5 %. Also, in case of fault, detection and classification were realized with >99 % accuracy.

Suggested Citation

  • Yilmaz, Unal, 2025. "Wind turbine power conversion topology with machine side fault detection and classification method," Energy, Elsevier, vol. 335(C).
    • Handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035455
    DOI: 10.1016/j.energy.2025.137903
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225035455
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.137903?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Pan, Lin & Shao, Chengpeng, 2020. "Wind energy conversion systems analysis of PMSG on offshore wind turbine using improved SMC and Extended State Observer," Renewable Energy, Elsevier, vol. 161(C), pages 149-161.
    2. Mazare, Mahmood, 2024. "Adaptive optimal secure wind power generation control for variable speed wind turbine systems via reinforcement learning," Applied Energy, Elsevier, vol. 353(PA).
    3. Wang, Lu & Bergua, Roger & Robertson, Amy & Wright, Alan & Zalkind, Daniel & Fowler, Matthew & Lenfest, Eben & Viselli, Anthony & Goupee, Andrew & Kimball, Richard, 2024. "Experimental investigation of advanced turbine control strategies and load-mitigation measures with a model-scale floating offshore wind turbine system," Applied Energy, Elsevier, vol. 355(C).
    4. Abbas, Nikhar J. & Jasa, John & Zalkind, Daniel S. & Wright, Alan & Pao, Lucy, 2024. "Control co-design of a floating offshore wind turbine," Applied Energy, Elsevier, vol. 353(PB).
    5. Ningyun Zhang & Houjun Tang & Chen Yao, 2014. "A Systematic Method for Designing a PR Controller and Active Damping of the LCL Filter for Single-Phase Grid-Connected PV Inverters," Energies, MDPI, vol. 7(6), pages 1-21, June.
    6. Wang, Zhenya & Zhang, Meng & Chen, Hui & Li, Jinghu & Li, Gaosong & Zhao, Jingshan & Yao, Ligang & Zhang, Jun & Chu, Fulei, 2025. "A generalized fault diagnosis framework for rotating machinery based on phase entropy," Reliability Engineering and System Safety, Elsevier, vol. 256(C).
    7. Ganesh Mayilsamy & Kumarasamy Palanimuthu & Raghul Venkateswaran & Ruban Periyanayagam Antonysamy & Seong Ryong Lee & Dongran Song & Young Hoon Joo, 2023. "A Review of State Estimation Techniques for Grid-Connected PMSG-Based Wind Turbine Systems," Energies, MDPI, vol. 16(2), pages 1-27, January.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yassir El Karkri & Alexis B. Rey-Boué & Hassan El Moussaoui & Johannes Stöckl & Thomas I. Strasser, 2019. "Improved Control of Grid-connected DFIG-based Wind Turbine using Proportional-Resonant Regulators during Unbalanced Grid," Energies, MDPI, vol. 12(21), pages 1-21, October.
    2. Weiyi Zhang & Daniel Remon & Antoni M. Cantarellas & Pedro Rodriguez, 2016. "A Unified Current Loop Tuning Approach for Grid-Connected Photovoltaic Inverters," Energies, MDPI, vol. 9(9), pages 1-19, September.
    3. Dong, Zhe & Li, Junyi & Zhang, Jiasen & Huang, Xiaojin & Dong, Yujie & Zhang, Zuoyi, 2024. "Nonlinear finite-set control of clean energy systems with nuclear power application," Energy, Elsevier, vol. 313(C).
    4. Hemakesavulu Oruganti & Subranshu Sekhar Dash & Chellammal Nallaperumal & Sridhar Ramasamy, 2018. "A Proportional Resonant Controller for Suppressing Resonance in Grid Tied Multilevel Inverter," Energies, MDPI, vol. 11(5), pages 1-15, April.
    5. Youssef Errami & Abdellatif Obbadi & Smail Sahnoun & Mohssin Aoutoul, 2024. "Nonlinear Enhanced Control for Wind Energy Generation System-Based Permanent Magnet Synchronous Generator," Sustainability, MDPI, vol. 16(17), pages 1-17, August.
    6. Li, Tenghui & Yang, Jin & Ioannou, Anastasia, 2024. "Data-driven control of wind turbine under online power strategy via deep learning and reinforcement learning," Renewable Energy, Elsevier, vol. 234(C).
    7. Driemeier, Carlos E. & Tonon, Giovana C. & Chagas, Mateus F. & Petrielli, Gabriel P. & Henzler, Daniele S. & Gomes, Luísa C.M. & Limeira, Bruno E. & Hernandes, Thayse A.D. & Morais, Edvaldo R., 2025. "Electrolytic hydrogen in a large-scale decarbonized grid with energy reservoirs: An assessment of carbon intensity and integrity," Applied Energy, Elsevier, vol. 391(C).
    8. Hani Albalawi & Sherif Ahmed Zaid, 2018. "An H5 Transformerless Inverter for Grid Connected PV Systems with Improved Utilization Factor and a Simple Maximum Power Point Algorithm," Energies, MDPI, vol. 11(11), pages 1-17, October.
    9. Sharma, Rakesh & Dutta, Pradip & Murthy, S.Srinivasa, 2024. "Application of hydrogen storage in polygeneration microgrids: Case study of wind microgrid in India," Energy, Elsevier, vol. 311(C).
    10. Meenakshi Jayaraman & Sreedevi VT, 2017. "Power Quality Improvement in a Cascaded Multilevel Inverter Interfaced Grid Connected System Using a Modified Inductive–Capacitive–Inductive Filter with Reduced Power Loss and Improved Harmonic Attenuation," Energies, MDPI, vol. 10(11), pages 1-23, November.
    11. Milovan Majstorovic & Marco Rivera & Leposava Ristic & Patrick Wheeler, 2021. "Comparative Study of Classical and MPC Control for Single-Phase MMC Based on V-HIL Simulations," Energies, MDPI, vol. 14(11), pages 1-17, May.
    12. Travaglini, Riccardo & Papi, Francesco & Bianchini, Alessandro, 2025. "Floating wind farms in sea basins with moderate wind speeds: a critical assessment of the potential of low-specific-power turbines in reducing the LCoE," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    13. Jose Miguel Espi & Rafael Garcia-Gil & Jaime Castello, 2017. "Capacitive Emulation for LCL-Filtered Grid-Connected Converters," Energies, MDPI, vol. 10(7), pages 1-15, July.
    14. Zhun Meng & Yi-Feng Wang & Liang Yang & Wei Li, 2017. "Analysis of Power Loss and Improved Simulation Method of a High Frequency Dual-Buck Full-Bridge Inverter," Energies, MDPI, vol. 10(3), pages 1-18, March.
    15. Lee, Yong Hoon & Bayat, Saeid & Allison, James T., 2025. "Wind turbine control co-design using dynamic system derivative function surrogate model (DFSM) based on OpenFAST linearization," Applied Energy, Elsevier, vol. 396(C).
    16. Mohamed A. Hassan & Muhammed Y. Worku & Mohamed A. Abido, 2019. "Optimal Power Control of Inverter-Based Distributed Generations in Grid-Connected Microgrid," Sustainability, MDPI, vol. 11(20), pages 1-27, October.
    17. Chen, Wen-Li & Zhang, Ziyang & Liu, Jiabin & Gao, Donglai, 2025. "Experimental study on dynamic characteristics of a jacket-type offshore wind turbine under coupling action of wind and wave," Applied Energy, Elsevier, vol. 378(PA).
    18. Riyadh Rouabhi & Abdelghafour Herizi & Ali Djerioui, 2024. "Performance of Robust Type-2 Fuzzy Sliding Mode Control Compared to Various Conventional Controls of Doubly-Fed Induction Generator for Wind Power Conversion Systems," Energies, MDPI, vol. 17(15), pages 1-25, July.
    19. Wei, Zhiwen & Cao, Feifei & Cao, Chunnuan & Han, Zhi & Shi, Hongda & Ji, Tao, 2025. "Experimental study on the effects of an array of concentric wave energy converters on the dynamic of semi-submersible floating wind turbine," Renewable Energy, Elsevier, vol. 242(C).
    20. Siyue He & Yufan Lin & Zhengxin Wei & Maosong Wan & Yongjun Min, 2025. "Sustainable Emission Control in Heavy-Duty Diesel Trucks: Fuzzy-Logic-Based Multi-Source Diagnostic Approach," Sustainability, MDPI, vol. 17(8), pages 1-28, April.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:335:y:2025:i:c:s0360544225035455. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.