Evaluation of parametric and non-parametric methods for power curve modelling of wind turbines

Delshad Panahi, Sara Deilami, Mohammad A. S. Masoum

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

12 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationELECO 2015
Subtitle of host publication9th International Conference on Electrical and Electronics Engineering
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages996-1000
Number of pages5
ISBN (Electronic)9786050107371
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event9th International Conference on Electrical and Electronics Engineering, ELECO 2015 - Bursa, Turkey
Duration: 26 Nov 201528 Nov 2015

Conference

Conference9th International Conference on Electrical and Electronics Engineering, ELECO 2015
Country/TerritoryTurkey
CityBursa
Period26/11/1528/11/15

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