scholarly journals Comparative Analysis for Interval Modeling Algorithms of Wind Turbine Power Curve

2019 ◽  
Vol 569 ◽  
pp. 052028
Author(s):  
Jingchun Chu ◽  
Ling Yuan ◽  
Yang Hu ◽  
Lei Pan
Keyword(s):  
Comparative Analysis ◽  
Wind Turbine ◽  
Power Curve ◽  
Interval Modeling

Comparative analysis on power curve models of wind turbine generator in estimating capacity factor

Energy ◽  
2014 ◽  
Vol 73 ◽  
pp. 88-95 ◽  
Author(s):  
Tian-Pau Chang ◽  
Feng-Jiao Liu ◽  
Hong-Hsi Ko ◽  
Shih-Ping Cheng ◽  
Li-Chung Sun ◽  
...  
Keyword(s):  
Comparative Analysis ◽  
Wind Turbine ◽  
Capacity Factor ◽  
Power Curve ◽  
Turbine Generator ◽  
Wind Turbine Generator

Quantile based probabilistic wind turbine power curve model

2021 ◽  
Vol 296 ◽  
pp. 116913
Author(s):  
Keyi Xu ◽  
Jie Yan ◽  
Hao Zhang ◽  
Haoran Zhang ◽  
Shuang Han ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Power Curve ◽  
Curve Model

Multi-objective grey wolf optimization of solar chimneys based on an improved model incorporating a wind turbine power curve

2021 ◽  
Vol 239 ◽  
pp. 114231
Author(s):  
Ali Habibollahzade ◽  
Iman Fakhari ◽  
Saeed Mohsenian ◽  
Hossein Aberoumand ◽  
Robert A. Taylor
Keyword(s):  
Wind Turbine ◽  
Power Curve ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Multi Objective ◽  
Improved Model

scholarly journals Multivariate SCADA Data Analysis Methods for Real-World Wind Turbine Power Curve Monitoring

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1105 ◽  
Author(s):  
Davide Astolfi ◽  
Francesco Castellani ◽  
Andrea Lombardi ◽  
Ludovico Terzi
Keyword(s):  
Standard Deviation ◽  
Wind Turbine ◽  
Wind Turbines ◽  
Curve Analysis ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Features Selection ◽  
Power Curve ◽  
Working Parameters ◽  
Extracted Power

Due to the stochastic nature of the source, wind turbines operate under non-stationary conditions and the extracted power depends non-trivially on ambient conditions and working parameters. It is therefore difficult to establish a normal behavior model for monitoring the performance of a wind turbine and the most employed approach is to be driven by data. The power curve of a wind turbine is the relation between the wind intensity and the extracted power and is widely employed for monitoring wind turbine performance. On the grounds of the above considerations, a recent trend regarding wind turbine power curve analysis consists of the incorporation of the main working parameters (as, for example, the rotor speed or the blade pitch) as input variables of a multivariate regression whose target is the power. In this study, a method for multivariate wind turbine power curve analysis is proposed: it is based on sequential features selection, which employs Support Vector Regression with Gaussian Kernel. One of the most innovative aspects of this study is that the set of possible covariates includes also minimum, maximum and standard deviation of the most important environmental and operational variables. Three test cases of practical interest are contemplated: a Senvion MM92, a Vestas V90 and a Vestas V117 wind turbines owned by the ENGIE Italia company. It is shown that the selection of the covariates depends remarkably on the wind turbine model and this aspect should therefore be taken in consideration in order to customize the data-driven monitoring of the power curve. The obtained error metrics are competitive and in general lower with respect to the state of the art in the literature. Furthermore, minimum, maximum and standard deviation of the main environmental and operation variables are abundantly selected by the feature selection algorithm: this result indicates that the richness of the measurement channels contained in wind turbine Supervisory Control And Data Acquisition (SCADA) data sets should be exploited for monitoring the performance as reliably as possible.

Wind turbine power curve modeling using radial basis function neural networks and tabu search

2021 ◽  
Vol 163 ◽  
pp. 2137-2152
Author(s):  
Despina Karamichailidou ◽  
Vasiliki Kaloutsa ◽  
Alex Alexandridis
Keyword(s):  
Neural Networks ◽  
Tabu Search ◽  
Radial Basis Function ◽  
Wind Turbine ◽  
Basis Function ◽  
Power Curve ◽  
Radial Basis ◽  
Curve Modeling

scholarly journals Improving the Accuracy of Wind Turbine Power Curve Validation by the Rotor Equivalent Wind Speed Concept

2016 ◽  
Vol 753 ◽  
pp. 072029 ◽  
Author(s):  
Frank Scheurich ◽  
Peder B Enevoldsen ◽  
Henrik N Paulsen ◽  
Kristoffer K Dickow ◽  
Moritz Fiedel ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Power Curve

Modeling of wind turbine power curve

2011 ◽  
Author(s):  
M S Mohan Raj ◽  
M Alexander ◽  
M Lydia
Keyword(s):  
Wind Turbine ◽  
Power Curve
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