Study on variable pitch strategy in H-type wind turbine considering effect of small angle of attack

Zhao, Zhenzhou; Qian, Siyuan; Shen, Wen Zhong; Wang, Tongguang; Xu, Bo; Zheng, Yuan; Wang, Ruixin

doi:10.1063/1.4989795

Cited by 19 publications

(10 citation statements)

References 27 publications

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“…The overall normal and tangential forces are given by: (31) where the tangential force coefficient (C t ) is the resultant of the tangential components of lift and drag forces, and the normal force coefficient (C n ) is the resultant of the lift and drag normal components, which are given below for the case of zero pitch.…”

Section: Double Multiple Streamtube Model (Dmst)mentioning

confidence: 99%

“…Tip loss designates the propensity for losing the vorticity from any point on the wind turbine where the flow circulation changes, such as the blade's tip, thereby minimizing the efficacy of the blade and, consequently, the output power of the turbine [30]. Prandtl's tip loss factor is popularly utilized for VAWTs [28,31,32], which is given by:…”

Section: Tip Loss Considerationmentioning

confidence: 99%

“…, where 0 d b is the nondimensional distance between EA and AC with respect to the half chord length b. The forces F t and F n , are given by (31)(32), whereas the moment is given by:…”

Section: Structural Deflectionmentioning

confidence: 99%

“…Inclusive, experimental data in the literature are obtainable for the curved-blade (Φ-type) VAWTs, yet, limited results have been reported about H-rotors (SB-VAWTs) [31,35]. Therefore, for performance assessment and testing using the DMST model, we selected the 17m diameter turbines tested at Sandia National Laboratories (SNL), having the properties in Table 1 [36], for comparison.…”

Section: Aerodynamic Performancementioning

confidence: 99%

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Aeroelastic analysis of straight-bladed vertical axis wind turbine blade

Fadlalla¹,

Şahin²,

Ouakad³

2022

FME Transactions

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To prevent flutter phenomena in a wind turbine, minimize vibration and increase the blades' life, a systematic analysis is required to investigate the effects between the cyclic aerodynamic loads and the structural performance of the turbine. A dynamic analysis of a straight-bladed vertical axis wind turbine (SB-VAWT) blade is investigated in this paper, and a simplified approach for the energy equations of an Eulerian beam subjected to twist and transverse bending deflections is introduced. The aerodynamic loads are estimated using the double multiple stream tube models. They are introduced into the dynamic model in the aeroelastic coupling, where the structural displacements are fed back to update the aerodynamic loads by utilizing the average acceleration method for the numerical integration of the equations. Reduced order modeling is then imposed based on the first modes of vibration. It is found that the structural displacement has little effect on the aerodynamic loads, and SBVAWTs experience higher transverse displacements compared with those in curved-blade VAWTs.

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Section: Double Multiple Streamtube Model (Dmst)mentioning

confidence: 99%

Section: Tip Loss Considerationmentioning

confidence: 99%

“…, where 0 d b is the nondimensional distance between EA and AC with respect to the half chord length b. The forces F t and F n , are given by (31)(32), whereas the moment is given by:…”

Section: Structural Deflectionmentioning

confidence: 99%

Section: Aerodynamic Performancementioning

confidence: 99%

See 2 more Smart Citations

Aeroelastic analysis of straight-bladed vertical axis wind turbine blade

Fadlalla¹,

Şahin²,

Ouakad³

2022

FME Transactions

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“…During this region, in order to prevent the wind turbine from being damaged, the pitch angle is set to 90 degree [7]- [15]. This paper focuses on the pitch control strategy for region 3.…”

Section: Introductionmentioning

confidence: 99%

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

et al. 2020

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When wind speeds are above the rated speed of variable speed variable pitch wind turbines, pitch angles are changed to keep output powers and rotor speeds at their rated values. For wind turbines with nonlinear and complex structure, conventional PID variable pitch controller is difficult to achieve precise control. In this paper, a variable pitch controller combining back-propagation(BP) neural network with PID (BP-PID) is proposed. By real-time detecting the deviation of the rotor speeds, the BP neural network with self-learning and weighting coefficient correction capability is used to adjust the PID parameters online and further to achieve the optimal combination of the PID parameters. Considering various uncertain disturbances and parameter changes on the mechanical components of the wind turbines, an active disturbance rejection pitch controller of the wind turbines is designed based on BP-PID algorithm. Combined with a tracking differentiator, an extended state observer (ESO) is employed to observe the state and disturbance of the system. In addition, in order to compensate the BP-PID variable pitch controller, nonlinear state error feedback control laws are designed by configuring nonlinear structures according to the state deviation between the extended state observer and the tracking differentiator. The simulation results show that the variable pitch active disturbance rejection control (ADRC) based on BP-PID can effectively estimate the system states and disturbances. And the proposed controller has good dynamic performance and strong robustness. INDEX TERMS Wind turbine, pitch control, BP-PID, active disturbance rejection control, extended state observer.

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Innovative multiobjective optimization of a curved‐blade vertical axis wind turbine modeled by modified double multiple streamtube method

Sanaye,

Hosseinkhani

2024

Energy Science & Engineering

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The attractive specifications of vertical axis wind turbine (VAWT) are its operating with low noise and wind in various directions. To achieve a higher performance of these turbines, modeling of a curved‐blade VAWT by the modified double multiple streamtube (DMST) method and optimizing this wind turbine are performed. The power coefficient and the total normal force acting on blades were selected as two objective functions. Minimizing the normal force acting on turbine blades as the second objective function was not observed in the open literature. The amount of normal force is crucial in the structural design of VAWT because it generates both the bending moment on blades and forces on supporting arms of VAWT. Another innovation of this study is to consider the shape coefficient parameter that determines the shape of the rotor geometry as a design variable in optimization procedure. A 3 m height curved‐blade VAWT type was optimized by this multi‐objective optimization technique. The optimum values of the design variables obtained by the Genetic Algorithm were selecting an elliptical rotor geometry, pitch angle −1.4°, diameter/height 1.3, blade aspect ratio 19.8, tip speed ratio 4.3 and selecting three blades which could provide a power coefficient of 0.49 and a normal force of 158.7 N.

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Study on variable pitch strategy in H-type wind turbine considering effect of small angle of attack

Cited by 19 publications

References 27 publications

Aeroelastic analysis of straight-bladed vertical axis wind turbine blade

Aeroelastic analysis of straight-bladed vertical axis wind turbine blade

Variable Pitch Active Disturbance Rejection Control of Wind Turbines Based on BP Neural Network PID

Innovative multiobjective optimization of a curved‐blade vertical axis wind turbine modeled by modified double multiple streamtube method

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