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

Ahmed G. Abo-Khalil, Saeed Alyami, Khairy Sayed and Ayman Alhejji
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Ahmed G. Abo-Khalil: Electrical Engineering Department, Majmaah University, Al-Majmaah 11952, Saudi Arabia
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

Energies, 2019, vol. 12, issue 10, 1-25

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%.

Keywords: Doubly-fed Induction Generator (DFIG); wind speed estimation; tower shadow; wind shear (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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