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Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies

Author

Listed:
  • Mojtaba Nasiri

    (Department of Electrical Engineering, Islamic Azad University, Abhar Branch, Abhar 4563934367, Iran)

  • Saleh Mobayen

    (Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan)

  • Behdad Faridpak

    (Electrical and Computer Engineering Faculty, University of Tabriz, Tabriz 5881743571, Iran)

  • Afef Fekih

    (Electrical and Computer Engineering Department, University of Louisiana at Lafayette, P.O. Box 43890, Lafayette, LA 70504, USA)

  • Arthur Chang

    (Bachelor Program in Interdisciplinary Studies, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin 64002, Taiwan)

Abstract

In recent years, due to the several advantages of permanent magnet synchronous generator (PMSG), the number of wind farms utilizing this technology has been significantly grown. The determination of the failure mechanism in these devices is the major challenge which has been addressed in many studies. Particularly, response to grid code compliance by wind power in the voltage drop situation needs to be comprehensively analyzed. In this paper, a small signal model of a PMSG-based wind turbine for low voltage ride-through (LVRT) and suitable for stability and artificial intelligent studies is presented. Accordingly, the generator side converter controls the dc-link voltage, and the maximum power point tracking is performed by the grid side converter. Given the proposed model, the speed of the simulation for stability analysis studies can be significantly increased by intelligent methods. Furthermore, the simplified approach can be achieved for calculating the optimal coefficients of the proportionality-integral controller by intelligent methods in a short time. By simulating the proposed small-signal model and comparing it with the block-based simulation in MATLAB/SIMULINK software, the appropriate accuracy and efficiency of the proposed model are confirmed.

Suggested Citation

  • Mojtaba Nasiri & Saleh Mobayen & Behdad Faridpak & Afef Fekih & Arthur Chang, 2020. "Small-Signal Modeling of PMSG-Based Wind Turbine for Low Voltage Ride-Through and Artificial Intelligent Studies," Energies, MDPI, vol. 13(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6685-:d:464165
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    References listed on IDEAS

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    1. Kosuke Takahashi & Nyam Jargalsaikhan & Shriram Rangarajan & Ashraf Mohamed Hemeida & Hiroshi Takahashi & Tomonobu Senjyu, 2020. "Output Control of Three-Axis PMSG Wind Turbine Considering Torsional Vibration Using H Infinity Control," Energies, MDPI, vol. 13(13), pages 1-13, July.
    2. Victor F. Mendes & Frederico F. Matos & Silas Y. Liu & Allan F. Cupertino & Heverton A. Pereira & Clodualdo V. De Sousa, 2016. "Low Voltage Ride-Through Capability Solutions for Permanent Magnet Synchronous Wind Generators," Energies, MDPI, vol. 9(1), pages 1-19, January.
    3. Yun-Su Kim & Il-Yop Chung & Seung-Il Moon, 2015. "Tuning of the PI Controller Parameters of a PMSG Wind Turbine to Improve Control Performance under Various Wind Speeds," Energies, MDPI, vol. 8(2), pages 1-20, February.
    4. Sung-Won Lee & Kwan-Ho Chun, 2019. "Adaptive Sliding Mode Control for PMSG Wind Turbine Systems," Energies, MDPI, vol. 12(4), pages 1-17, February.
    5. Nasiri, M. & Milimonfared, J. & Fathi, S.H., 2015. "A review of low-voltage ride-through enhancement methods for permanent magnet synchronous generator based wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 399-415.
    6. Altan Gencer, 2019. "Analysis and Control of Fault Ride-Through Capability Improvement for Wind Turbine Based on a Permanent Magnet Synchronous Generator Using an Interval Type-2 Fuzzy Logic System," Energies, MDPI, vol. 12(12), pages 1-16, June.
    7. Waseem El Sayed & Mostafa Abd El Geliel & Ahmed Lotfy, 2020. "Fault Diagnosis of PMSG Stator Inter-Turn Fault Using Extended Kalman Filter and Unscented Kalman Filter," Energies, MDPI, vol. 13(11), pages 1-24, June.
    8. Florentino Chavira & S. Ortega-Cisneros & Jorge Rivera, 2017. "A Novel Sliding Mode Control Scheme for a PMSG-Based Variable Speed Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-13, September.
    9. Mohamed Abdelrahem & Ralph Kennel, 2016. "Fault-Ride through Strategy for Permanent-Magnet Synchronous Generators in Variable-Speed Wind Turbines," Energies, MDPI, vol. 9(12), pages 1-15, December.
    10. Cheng Zhong & Lai Wei & Gangui Yan, 2017. "Low Voltage Ride-through Scheme of the PMSG Wind Power System Based on Coordinated Instantaneous Active Power Control," Energies, MDPI, vol. 10(7), pages 1-20, July.
    11. Mojtaba Nasiri & Saleh Mobayen & Quan Min Zhu, 2019. "Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine," Complexity, Hindawi, vol. 2019, pages 1-15, April.
    12. Jun Deng & Jianbo Wang & Shupeng Li & Haijing Zhang & Shutao Peng & Tong Wang, 2020. "Adaptive Damping Design of PMSG Integrated Power System with Virtual Synchronous Generator Control," Energies, MDPI, vol. 13(8), pages 1-17, April.
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    Cited by:

    1. Shiyao Qin & Yuyang Chang & Zhen Xie & Shaolin Li, 2021. "Improved Virtual Inertia of PMSG-Based Wind Turbines Based on Multi-Objective Model-Predictive Control," Energies, MDPI, vol. 14(12), pages 1-20, June.
    2. Hiramani Shukla & Srete Nikolovski & More Raju & Ankur Singh Rana & Pawan Kumar, 2022. "A Particle Swarm Optimization Technique Tuned TID Controller for Frequency and Voltage Regulation with Penetration of Electric Vehicles and Distributed Generations," Energies, MDPI, vol. 15(21), pages 1-32, November.
    3. Ernest F. Morgan & Omar Abdel-Rahim & Tamer F. Megahed & Junya Suehiro & Sobhy M. Abdelkader, 2022. "Fault Ride-Through Techniques for Permanent Magnet Synchronous Generator Wind Turbines (PMSG-WTGs): A Systematic Literature Review," Energies, MDPI, vol. 15(23), pages 1-26, December.

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