DocumentCode
3738672
Title
Evaluation of parametric and non-parametric methods for power curve modelling of wind turbines
Author
Delshad Panahi;Sara Deilami;Mohammad A. S. Masoum
Author_Institution
Department of Electrical and Computer Engineering, Curtin University, WA, Australia
fYear
2015
Firstpage
996
Lastpage
1000
Abstract
The growing applications of wind power systems and their essential roles in renewable energy production require development of accurate methods for their parameter identification such as the wind turbine power curves. This paper evaluates and compares the parametric and non-parametric approaches for power curve modelling of wind turbine which is a very complicated and nonlinear function of different mechanical, electrical and metrological input parameters. In fact achieving a complete model that can accurately describe the turbine output characteristic is very difficult. However, there are different modelling techniques that could lead to have a better estimation of turbine generation model. In this paper, four different algorithms for modelling the output power of wind turbines in form of two strategies using two case studies will be developed and the results of different models will be compared.
Keywords
"Wind turbines","Data models","Wind speed","Power measurement","Neurons"
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineering (ELECO), 2015 9th International Conference on
Type
conf
DOI
10.1109/ELECO.2015.7394497
Filename
7394497
Link To Document