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Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions

Author

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  • Ahmed G. Abo-Khalil

    (Electrical Engineering Department, Majmaah University, Al-Majmaah 11952, Saudi Arabia
    Electrical Engineering Department, Assiut University, Assiut 71515, Egypt)

  • Saeed Alyami

    (Electrical Engineering Department, Majmaah University, Al-Majmaah 11952, Saudi Arabia)

  • Khairy Sayed

    (Electrical Engineering Department, Sohag University, Sohag 82524, Egypt)

  • Ayman Alhejji

    (Electrical and Electronics Engineering Technology Department, Yanbu Industrial College, Yanbu Al Bahr 46452, Saudi Arabia)

Abstract

Large-scale wind turbines with a large blade radius rotates under fluctuating conditions depending on the blade position. The wind speed is maximum in the highest point when the blade in the upward position and minimum in the lowest point when the blade in the downward position. The spatial distribution of wind speed, which is known as the wind shear, leads to periodic fluctuations in the turbine rotor, which causes fluctuations in the generator output voltage and power. In addition, the turbine torque is affected by other factors such as tower shadow and turbine inertia. The space between the blade and tower, the tower diameter, and the blade diameter are very critical design factors that should be considered to reduce the output power fluctuations of a wind turbine generator. To model realistic characteristics while considering the critical factors of a wind turbine system, a wind turbine model is implemented using a squirrel-cage induction motor. Since the wind speed is the most important factor in modeling the aerodynamics of wind turbine, an accurate measurement or estimation is essential to have a valid model. This paper estimates the average wind speed, instead of measuring, from the generator power and rotating speed and models the turbine’s aerodynamics, including tower shadow and wind shear components, without having to measure the wind speed at any height. The proposed algorithm overcomes the errors of measuring wind speed in single or multiple locations by estimating the wind speed with estimation error less than 2%.

Suggested Citation

  • Ahmed G. Abo-Khalil & Saeed Alyami & Khairy Sayed & Ayman Alhejji, 2019. "Dynamic Modeling of Wind Turbines Based on Estimated Wind Speed under Turbulent Conditions," Energies, MDPI, vol. 12(10), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:10:p:1907-:d:232365
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    Cited by:

    1. Ahmed G. Abo-Khalil & Saeed Alyami & Ayman Alhejji & Ahmed B. Awan, 2019. "Real-Time Reliability Monitoring of DC-Link Capacitors in Back-to-Back Converters," Energies, MDPI, vol. 12(12), pages 1-11, June.
    2. Khairy Sayed & Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2019. "Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources," Energies, MDPI, vol. 12(22), pages 1-23, November.
    3. Ahmed G. Abo-Khalil & Abdel-Rahman Al-Qawasmi & Ali M. Eltamaly & B. G. Yu, 2020. "Condition Monitoring of DC-Link Electrolytic Capacitors in PWM Power Converters Using OBL Method," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    4. Mohammad Mujahid Irfan & Sushama Malaji & Chandrashekhar Patsa & Shriram S. Rangarajan & S. M. Suhail Hussain, 2022. "Control of DSTATCOM Using ANN-BP Algorithm for the Grid Connected Wind Energy System," Energies, MDPI, vol. 15(19), pages 1-14, September.
    5. Yingming Liu & Shuyuan Zhang & Xiaodong Wang & Hongfang Xie & Tian Cao, 2022. "Optimization of Pitch Control Parameters for a Wind Turbine Based on Tower Active Damping Control," Energies, MDPI, vol. 15(22), pages 1-22, November.
    6. Hamid Chojaa & Aziz Derouich & Mohammed Taoussi & Seif Eddine Chehaidia & Othmane Zamzoum & Mohamed I. Mosaad & Ayman Alhejji & Mourad Yessef, 2022. "Nonlinear Control Strategies for Enhancing the Performance of DFIG-Based WECS under a Real Wind Profile," Energies, MDPI, vol. 15(18), pages 1-23, September.
    7. Ali Mohamed Eltamaly & Mamdooh Al-Saud & Khairy Sayed & Ahmed G. Abo-Khalil, 2020. "Sensorless Active and Reactive Control for DFIG Wind Turbines Using Opposition-Based Learning Technique," Sustainability, MDPI, vol. 12(9), pages 1-14, April.
    8. Omar Alrumayh & Khairy Sayed & Abdulaziz Almutairi, 2023. "LVRT and Reactive Power/Voltage Support of Utility-Scale PV Power Plants during Disturbance Conditions," Energies, MDPI, vol. 16(7), pages 1-20, April.
    9. Amira Elkodama & Amr Ismaiel & A. Abdellatif & S. Shaaban & Shigeo Yoshida & Mostafa A. Rushdi, 2023. "Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review," Energies, MDPI, vol. 16(17), pages 1-32, September.
    10. Shazly A. Mohamed & Mohamed A. Tolba & Ayman A. Eisa & Ali M. El-Rifaie, 2021. "Comprehensive Modeling and Control of Grid-Connected Hybrid Energy Sources Using MPPT Controller," Energies, MDPI, vol. 14(16), pages 1-22, August.
    11. Ahmed G. Abo-Khalil & Ali S. Alghamdi & Ali M. Eltamaly & M. S. Al-Saud & Praveen R. P. & Khairy Sayed & G. R. Bindu & Iskander Tlili, 2019. "Design of State Feedback Current Controller for Fast Synchronization of DFIG in Wind Power Generation Systems," Energies, MDPI, vol. 12(12), pages 1-26, June.
    12. Ahmed G. Abo-Khalil & Ali M. Eltamaly & Praveen R.P. & Ali S. Alghamdi & Iskander Tlili, 2020. "A Sensorless Wind Speed and Rotor Position Control of PMSG in Wind Power Generation Systems," Sustainability, MDPI, vol. 12(20), pages 1-19, October.
    13. Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2021. "MPPT of Permanent Magnet Synchronous Generator in Tidal Energy Systems Using Support Vector Regression," Sustainability, MDPI, vol. 13(4), pages 1-15, February.

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