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dc.contributor.authorPanahi, Delshad
dc.contributor.authorDeilami, Sara
dc.contributor.authorMasoum, Mohammad Sherkat
dc.date.accessioned2017-03-15T22:27:17Z
dc.date.available2017-03-15T22:27:17Z
dc.date.created2017-03-14T06:55:57Z
dc.date.issued2016
dc.identifier.citationPanahi, D. and Deilami, S. and Masoum, M.S. 2016. Evaluation of parametric and non-parametric methods for power curve modelling of wind turbines. In 9th International Conference on Electrical and Electronics Engineering (ELECO 2015), 26-28 Nov. 2015: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/50611
dc.identifier.doi10.1109/ELECO.2015.7394497
dc.description.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. © 2015 Chamber of Electrical Engineers of Turkey.

dc.titleEvaluation of parametric and non-parametric methods for power curve modelling of wind turbines
dc.typeConference Paper
dcterms.source.startPage996
dcterms.source.endPage1000
dcterms.source.titleELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
dcterms.source.seriesELECO 2015 - 9th International Conference on Electrical and Electronics Engineering
dcterms.source.isbn9786050107371
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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