Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

Marouani, Haykel; Almehmadi, Fahad Awjah; Farkh, Rihem; Dhahri, Habib

doi:10.32604/cmc.2022.029315

Cited by 3 publications

(3 citation statements)

References 44 publications

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“…The literature illustrates different COE analysis, especially for the high-altitude cases. In comparison, Haykel et al 29 show that COE ranges from $0.052431/ kWh at 2500 m to $0.057057/kWh at 4000 m. Song et al 11 show that COE is between $0.05059/kWh and $0.05041/kWh at Huitengxtile wind farm (China, 2020 m altitude), and between $0.05153/kWh and $0.05172/kWh at Maanshan wind farm (China, 3200 m altitude). For the case of low altitude, Dalabeeh 38 presented a rich analysis for Jordan case.…”

Section: Resultsmentioning

confidence: 89%

“…11 Site-specific constants are the reference height H 0 (50 m), mean wind speed at reference height V m (4.8 m/s), shape factor at reference height k 0 (2), 27 wind shear coefficient α (0.1), 27 average temperature T (300.15 K) and turbine altitude H alltitude (600 m). Wind turbine parameters include maximum power coefficient C p max (0.48), 28 total loss of energy η (0.17), 29 cut-in wind speed V cut-in (3 m/s), cut-off wind speed V cut-off (22.5 m/s), rated wind speed V r (9.9 m/s), rated power P r (4000 kW) and the fix charge rate FCR (0.1158). 11 Using the site specific constants and wind turbine parameters, COE evaluation starts by calculating the scale factor at reference height c 0 [30][31][32][33] :…”

Section: Coe Modelmentioning

confidence: 99%

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A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia

Marouani,

Fouad,

Mrad

2023

Energy Science & Engineering

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One major criterion in the selection of wind farm location is the cost of energy (COE). COE is the cost of producing 1 kWh electric energy on an annual basis. Mathematical model of COE includes site‐specific constants (such as reference height, mean wind speed, shape factors, wind shear coefficient, average temperature, and turbine altitude) and wind turbine parameters (such as maximum power coefficient, total loss of energy, cut‐in/cut‐off wind speed, rated wind speed, rated power, and the fix charge rate). In this work, we evaluate the COE of an onshore wind farm located at Dumat Al‐Jandal (Saudi Arabia) according to the hub height and rotor size. The 99 Vestas turbines can be mounted at a hub height ranging from 105 to 166 m with available rotor diameters of 105, 112, 117, 126, 136, 150, 155, or 163 m. Particle swarm optimization with a normal distribution is used to optimize the COE. Results show that COE is varying around the average value of $0.029335/kWh by ±$0.00021/kWh. The minimum COE was achieved with a rotor diameter of 150 m at hub height of 105 m. COE increases with the increase of hub height. At 105 m‐hub height, COE is almost the same, with a variation of 0.03% (It ranges between $0.029125/kWh and $0.029133/kWh). COE is more sensitive to rotor size than hub height. This investigation revealed that the COE estimation is in a range of 39%–48% greater than that announced COE by the developing project consortium.

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Section: Resultsmentioning

confidence: 89%

Section: Coe Modelmentioning

confidence: 99%

A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia

Marouani,

Fouad,

Mrad

2023

Energy Science & Engineering

Self Cite

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“…Uneven turbulent winds easily generate fluctuations in power generation, increasing the difficulty of grid integration [5], and VSWTs cannot withstand high rotor speeds and torques in extreme environments [6]. When the rotor speed is bigger than its rated value, the pitch angle is adjusted to maintain constant power output.…”

Section: Introductionmentioning

confidence: 99%

Anti-Windup Pitch Angle Control for Wind Turbines Based on Bounded Uncertainty and Disturbance Estimator

Jiao,

Wang,

Wang

et al. 2024

JMSE

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Due to physical limitations and safety requirements, the rate and amplitude of change in wind turbines’ pitch angle are limited, which will bring integral saturation problems to the control system. This leads to the deterioration of the pitch control system’s performance or even an instability problem. This paper designs an anti-windup robust pitch angle control strategy to deal with pitch rate constraint issue to enhance the safety of the control system. First, to facilitate controller design, a filtered tracking-error technique is employed to transform the nonaffine form into an affine one. Subsequently, a feedback robust controller based on an uncertainty and disturbance estimator (UDE) is developed to handle the model’s uncertainty and external disturbances. To address the issue of integral saturation in the pitch system and guarantee its safety, an elliptical bounded constraint is integrated into the designed UDE strategy. This bounded UDE controller can improve the stability of power generation quality, reducing the mechanical loads on components. Finally, the effectiveness of the proposed scheme is verified on the Wind Turbine Blockset platform in Matlab/Simulink. It can achieve better performance than traditional methods.

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Anti-windup Pitch Angle Control for Wind Turbines Based on Bounded UDE

Jiao,

Wang,

Wang

et al. 2024

Preprint

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In the full load operating range, wind turbines typically use pitch control to maintain rotor speed and output power at their rated values to guarantee the whole system’s safety. Blade pitch actuators are subject to physical limitations and safety requirements, which imposes strict constraints on pitch angle’s amplitude and rate of change. These constraints will bring windup problem to the integral part of the pitch controller. It leads to deterioration of the pitch control system’s performance or even the instability problem, especially for large-scale turbines operating in extreme uncertain wind conditions or suffering from cyber attacks. This paper designs an anti-windup robust pitch angle control strategy to deal with pitch rate constraint issue to enhance the security of control system. First, to facilitate controller design, a filtered tracking error technique is employed to transform the nonaffine form into an affine one. Subsequently, a feedback robust controller based on UDE is developed to handle the model’s uncertainty and external disturbances. To address the issue of integral saturation in the pitch system and guarantee its safety, an elliptical bounded constraint is integrated into the designed UDE strategy. This bounded UDE controller can improve the stability of power generation quality, reduces the mechanical loads on components and enhance the whole system’s safety. Finally, the effectiveness of the proposed scheme is verified on the Wind Turbine Blockset platform in Matlab/Simulink. It can achieve better performance than the traditional method.

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Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework

Cited by 3 publications

References 44 publications

A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia

A techno‐economic assessment and optimization of Dumat Al‐Jandal wind farm in Kingdom of Saudi Arabia

Anti-Windup Pitch Angle Control for Wind Turbines Based on Bounded Uncertainty and Disturbance Estimator

Anti-windup Pitch Angle Control for Wind Turbines Based on Bounded UDE

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