Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines

Yang, Zhiqiang; Xu, Yan; Zou, Yun; Zhang, Dong; Zhou, Qian

doi:10.3390/en9121023

Cited by 5 publications

(5 citation statements)

References 37 publications

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“…This operating point is the Maximum Power Point (MPP). A maximum power coefficient of 0.40-0.50 and an optimal TSR of 6-8 are typical values for large three-bladed horizontal axis wind turbines [38]. The combination of a numerically characterized power coefficient C p (λ, θ) and the Equations ( 1)-( 3) can form a digital model of the turbine aerodynamics.…”

Section: Turbine Aerodynamicsmentioning

confidence: 99%

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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The Industry 4.0 concept of a Digital Twin will bring many advantages for wind energy conversion systems, e.g., in condition monitoring, predictive maintenance and the optimisation of control or design parameters. A virtual replica is at the heart of a digital twin. To construct a virtual replica, appropriate modelling techniques must be selected for the turbine components. These models must be chosen with the intended use case of the digital twin in mind, finding a proper balance between the model fidelity and computational load. This review article presents an overview of the recent literature on modelling techniques for turbine aerodynamics, structure and drivetrain mechanics, the permanent magnet synchronous generator, the power electronic converter and the pitch and yaw systems. For each component, a balanced overview is given of models with varying model fidelity and computational load, ranging from simplified lumped parameter models to advanced numerical Finite Element Method (FEM)-based models. The results of the literature review are presented graphically to aid the reader in the model selection process. Based on this review, a high-level structure of a digital twin is proposed together with a virtual replica with a minimum computational load. The concept of a multi-level hierarchical virtual replica is presented.

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Section: Turbine Aerodynamicsmentioning

confidence: 99%

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

et al. 2021

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“…However, Zhao et al didn't provide the method to estimate TSR. Yin et al [17,18] proposed a multi-point method for aerodynamic optimization of VSWT blades considering the distribution of operational TSR and an inverse aerodynamic optimization to focus on determining an appropriate design TSR. The aerodynamic optimization focusing on blade remolding may cost a lot of money.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

Zheng

Bai

et al. 2020

Applied Sciences

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A combined strategy of torque error feed-forward control and blade-pitch angle servo control is proposed to improve the dynamic power capture for wind turbine maximum power point tracking (MPPT). Aerodynamic torque is estimated using the unscented Kalman filter (UKF). Wind speed and tip speed ratio (TSR) are estimated using the Newton–Raphson method. The error between the estimated aerodynamic torque and the steady optimal torque is used as the feed-forward signal to control the generator torque. The gain parameters in the feed-forward path are nonlinearly regulated by the estimated generator speed. The estimated TSR is used as the reference signal for the optimal blade-pitch angle regulation at non-optimal TSR working points, which can improve the wind power capture for a wider non-optimal TSR range. The Fatigue, Aerodynamics, Structures, and Turbulence (FAST) code is used to simulate the aerodynamics and mechanical aspects of wind turbines while MATLAB/SIMULINK is used to simulate the doubly-fed induction generator (DFIG) system. The example of a 5 MW wind turbine model reveals that the new method is able to improve the dynamic response of wind turbine MPPT and wind power capture.

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“…There are five main categories of MPP tracking methods: power signal feedback (PSF) control [5], optimal torque (OT) control [6], tip-speed ratio (TSR) control [7] and perturbation and observation (P&O) control [8,9]. There are also artificial intelligence techniques, such as fuzzy logic [10], artificial neural networks [11], intelligent search algorithms [12] and wind turbine power curves (WTPC) [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…PSF-and OT-based MPP tracking methods employ the generator's exact model, commonly used in large-scale wind turbines [6,7]. The torque is usually estimated using the Kalman filter [16].…”

Section: Introductionmentioning

confidence: 99%

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Wind Turbines Optimal Operation at Time Variable Wind Speeds

et al. 2020

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The wind turbine’s operation is affected by the wind speed variations, which cannot be followed by the wind turbine due to the large moment of the power plant’s inertia. The method proposed in this paper belongs to the wind turbine power curves (WTPC) approach, which expresses the power curve of the permanent magnet synchronous generator (PMSG) by a set of mathematical equations. The WTPC research papers published before now have not taken into consideration the total power plant inertia at time-variable wind speeds, when the wind turbine’s optimal operation is very difficult to be reached, and its efficiency is thus threatened. The study is based on a wind turbine having a large moment of total inertia, and demonstrates, through extensive simulation results, that the optimal values of the PMSG’s power can be determined based on the kinetic motion equation. This PMSG’s optimal power represents an ideal time-varying curve, and the wind turbine should be controlled so as to closely follow it. For this purpose, proportional integral (PI) and proportional integral derivative (PID) type-based control methods were implemented and analyzed, so that the PMSG’s power oscillations could be reduced, and the PMSG’s angular speed value made comparable to the optimal one, meaning that the wind turbine operates within the optimal operation area, and is efficient. The simulations are actually the numerical solutions obtained by using the Scientific Workplace simulation environment, and they are based on the wind speed measurements collected from a wind farm located in Dobrogea, Romania.

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Inverse Aerodynamic Optimization Considering Impacts of Design Tip Speed Ratio for Variable-Speed Wind Turbines

Cited by 5 publications

References 37 publications

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

Digital Twins for Wind Energy Conversion Systems: A Literature Review of Potential Modelling Techniques Focused on Model Fidelity and Computational Load

Nonlinear Maximum Power Point Tracking Control Method for Wind Turbines Considering Dynamics

Wind Turbines Optimal Operation at Time Variable Wind Speeds

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