Modeling of wind turbine generators for power system stability studies: A review

He, Xiuqiang; Geng, Hua; Mu, Gang

doi:10.1016/j.rser.2021.110865

Cited by 40 publications

(13 citation statements)

References 115 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Models of wind turbine generators using machine learning have been reviewed in [13]. A review of modelling of wind turbine generators considering the aspects of time scale and stability methodology has been presented in [14]. A mathematical model of wind turbine based on induction generator has been developed in [15].…”

Section: Figure1horizontal Wind Turbine Generatormentioning

confidence: 99%

Modelling design of wind turbine generator

2022

IJATEE

View full text Add to dashboard Cite

Section: Figure1horizontal Wind Turbine Generatormentioning

confidence: 99%

Modelling design of wind turbine generator

2022

IJATEE

View full text Add to dashboard Cite

“…An important problem in the study of frequency stability in wind farms is to model the frequency regulation response characteristics. Modelling methods are usually divided into two types, one is component-based modelling [4][5][6][7][8] and the other is data-based modelling [11][12][13][14][15][16][17][18]. According to the physical characteristics of wind turbine (WT) components involved in the virtual inertia control and droop control, the authors in [9] proposed an analytical model of wind farm inertia response and droop response in the process of wind farm participating in grid frequency regulation.…”

Section: Introductionmentioning

confidence: 99%

Data‐driven lumped dynamic modelling of wind farm frequency regulation characteristics

Qin

et al. 2022

IET Cyber-Phy Sys Theory & Ap

View full text Add to dashboard Cite

High proportion of wind power in the power grid leads to the problem of power system frequency instability, which requires the wind farm itself to have the ability of frequency adjustment; therefore, it is particularly important to conduct modelling of wind farm frequency regulation (WFFR) response characteristics. During the modelling process, it is generally necessary to establish a model for each working condition separately, which will bring huge workload. In addition, the accuracy of the model decreases when the frequency response is non‐linear. Therefore, this paper investigates the modelling of WFFR response characteristics in different working conditions. A data preprocessing method based on WFFR strategy and modelling methods is introduced. Then, data‐based transfer function models of WFFR response characteristics for different working conditions are constructed. After that, the gaps between different models are measured using a gap metric technique to analyse dynamic similarity between models. Finally, in order to make up for the defect of transfer function models, a non‐linear autoregressive with exogenous input neural networks (NARXNN) model of WFFR response characteristics is constructed utilising lumped data of all working conditions; then, the trained model is tested by the data of each working condition to verify the accuracy and universality.

show abstract

“…In early modeling studies, the mass-spring-damping system was usually simplified to replace the independent components in the process of establishing the dynamic model of the transmission system, so there was a segregation of the transmission chain onemass block model, two-mass block model, and three-mass block model. It was found that the over-simplified model cannot accurately generate the coupling relationship and dynamic load among the independent components (Hu et al, 2017;He et al, 2021). In further research developments, detailed modeling of wind turbine dynamics models has gradually become the focus (Wang et al, 2020;Xu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Study on Novel Yaw Error Strategy for Wind Turbines Based on a Multi-Body Dynamics Method

Wang

Cai

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

At present, using structural dynamics models is the most commonly used and effective method to simulate the dynamic characteristics of large wind turbine. This paper used the multi-body dynamics method to construct the precise multi-flexible body dynamics model of a wind turbine coupled with aerodynamics/structure/control. The model can realize multi-disciplinary co-simulation interactions, and the accuracy was verified by comparing the numerical simulation data with the measured data. The allowable yaw error of a wind turbine is typically simplified to two or three fixed values according to the wind speed range, which cannot often adapt to the high and unsteady change characteristics of wind speed and direction under special conditions. In this paper, an accurate calculation method of allowable yaw error threshold based on measured wind speed and the corresponding optimization strategy of large yaw error are proposed, which not only avoid unnecessary shutdown and improve the availability, but also reduce the load of yaw bearing and improve the safety.

show abstract

Modeling of wind turbine generators for power system stability studies: A review

Cited by 40 publications

References 115 publications

Modelling design of wind turbine generator

Modelling design of wind turbine generator

Data‐driven lumped dynamic modelling of wind farm frequency regulation characteristics

Study on Novel Yaw Error Strategy for Wind Turbines Based on a Multi-Body Dynamics Method

Contact Info

Product

Resources

About