Wind Turbines Optimal Operation at Time Variable Wind Speeds

Ancuti, Mihaela-Codruta; Muşuroi, Sorin; Șorândaru, Ciprian; Dordescu, Marian; Erdodi, Geza Mihai

doi:10.3390/app10124232

Cited by 11 publications

(6 citation statements)

References 20 publications

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“…At the same time, when the permanent magnet direct-driven wind power system is operating, the energy conversion efficiency is usually above 90%. Therefore, in order to reduce the model order and system complexity, the influence caused by mechanical damping and electromagnetic loss is not included (Ancuti et al, 2020).…”

Section: Equivalent Simplified Model Of Wind Turbines and Pmsgmentioning

confidence: 99%

Research on simplified modeling of large-scale wind farms based on equivalent transfer function and aggregate equivalent

et al. 2023

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Introduction: In grid-connected research of large-scale wind farms, the problem of long simulation time exists in the research based on detailed model. In order to realize the fast simulation and grid-connected transient research of wind farm, this paper presents a simplified equivalent model of wind farm based on equivalent transfer function and improved capacity weighting method.Methods: This paper analyzes the mathematical model of wind turbine, corresponding to the strategy of design simplification, and the simplified model is built according to the equivalent transfer function. In addition, this paper considers the equivalent line loss model of collector line, classifies and aggregates the simplified wind turbines, and calculates the equivalent value of the converged wind turbines by using the improved capacity weighting method, the grid-connected simplified modeling of large-scale wind farm is realized.Results: A model of wind farm-MMC-HVDC flexible grid-connected wind power system is built. The simulation results show that the simplified equivalent model improves the simulation speed greatly while guaranteeing the dynamic characteristics.Discussion: The simplified equivalent strategy of wind farm can keep the same dynamic performance with the detailed model, and improve the simulation speed, and realize the fast simulation and grid-connected transient research of wind farm.

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Section: Equivalent Simplified Model Of Wind Turbines and Pmsgmentioning

confidence: 99%

Research on simplified modeling of large-scale wind farms based on equivalent transfer function and aggregate equivalent

et al. 2023

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“…C P = power available power = P 0.5ρSV 3 (2) Once the model was validated, the first improvement proposed in the present work is to modify the semicircular blade profile originally proposed by Sigur Savonius [26]. The nature-inspired Fibonacci spiral is proposed to this end.…”

Section: Tsr =mentioning

confidence: 99%

“…These facts lead to the current necessity to urgently implement renewable resources. In this regard, wind energy plays a crucial role in the decarbonization process of society [1][2][3][4] and constitutes the most relevant energy contributor to the renewable sector [5]. Depending on the orientation of the rotation axis, wind turbines can be categorized into HAWTs (horizontal axis wind turbines) and VAWTs (vertical axis wind turbines).…”

Section: Introductionmentioning

confidence: 99%

Optimization of a Nature-Inspired Shape for a Vertical Axis Wind Turbine through a Numerical Model and an Artificial Neural Network

et al. 2022

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The present work proposes an artificial neural network (ANN) to analyze vertical axis wind turbines of the Savonius type. These turbines are appropriate for low wind velocities due to their low starting torque. Nevertheless, their efficiency is too low. In order to improve the efficiency, several modifications are analyzed. First of all, an innovative blade profile biologically inspired is proposed. After that, the influence of several parameters such as the aspect ratio, overlap, and twist angle was analyzed through a CFD (computational fluid dynamics) model. In order to characterize the most appropriate combination of aspect ratio, overlap, and twist angle, an artificial neural network is proposed. A data set containing 125 data points was obtained through CFD. This data set was used to develop the artificial neural network. Once established, the artificial neural network was employed to analyze 793,881 combinations of different aspect ratios, overlaps, and twist angles. It was found that the maximum power coefficient, 0.3263, corresponds to aspect ratio 7.5, overlap/chord length ratio 0.1125, and twist angle 112°. This corresponds to a 32.4% increment in comparison to the original case analyzed with aspect ratio 1, overlap 0, and twist angle 0.

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“…The generator will correspond to an optimal speed for each wind speed. A mismatch between actual and rated speeds may lead to the generator operating below its maximum performance efficiency point [8,9]. Therefore, it is essential to maintain the rotation speed stability during demagnetization.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant Control of D-PMSG Demagnetization Based on Linear Active Disturbance Rejection Controller

Luo,

Liu,

Peng

et al. 2024

PIER M

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When demagnetization occurs, direct-drive permanent magnet synchronous wind generator exhibits problems of poor dynamic performance, weak immunity to disturbances and speed fluctuations. Aiming at these problems, this paper proposes a cascaded linear active disturbance rejection control method. First, the mathematical models of the generator during normal operation and demagnetization are described. Second, the linear active disturbance rejection controller (LADRC) for the speed and current loops is designed. The compensation for demagnetization disturbances at the speed loop's input is enabled by the control approach. The current output of the speed loop is imported as a rated value into the LADRC of the current loop. At the same time, the current is compensated at the input. Compensated speed and current accurately track the given values, and the goal of achieving demagnetization fault tolerance is met. Finally, this method is compared with dual-loop Proportional Integral (PI) control. The experimental results affirm that, under this control method, when demagnetization occurs, the speed fluctuation is reduced by 95.7%, the current response time decreased from 0.01 seconds to 0.001 seconds, and the electromagnetic torque ripple amplitude reduced by 50%. These experimental results fully validate the heightened fault tolerance and resistance to interference exhibited by the method advocated in this paper.

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Wind Turbines Optimal Operation at Time Variable Wind Speeds

Cited by 11 publications

References 20 publications

Research on simplified modeling of large-scale wind farms based on equivalent transfer function and aggregate equivalent

Research on simplified modeling of large-scale wind farms based on equivalent transfer function and aggregate equivalent

Optimization of a Nature-Inspired Shape for a Vertical Axis Wind Turbine through a Numerical Model and an Artificial Neural Network

Fault-tolerant Control of D-PMSG Demagnetization Based on Linear Active Disturbance Rejection Controller

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