Identifiability analysis of a wind generation unit model using global sensitivity analysis

Qing Fang, Rastko Zivanovic

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

2 Citations (Scopus)

Abstract

This paper presents a parameter identifiability method based on the Global Sensitivity Analysis (GSA), and its application in parameter estimation of a wind generation unit model. The GSA determines which model parameters will effect observations that are used in the parameter estimation procedure. Parameters with negligible impact on the observations are not identifiable.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages993-998
Number of pages6
ISBN (Electronic)9781467380751
DOIs
Publication statusPublished - 19 May 2016
Externally publishedYes
EventIEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China
Duration: 14 Mar 201617 Mar 2016

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2016-May

Conference

ConferenceIEEE International Conference on Industrial Technology, ICIT 2016
CountryTaiwan, Province of China
CityTaipei
Period14.03.201617.03.2016

Keywords

  • global sensitivity analysis
  • identifiability analysis
  • parameter estimation
  • wind generation unit model

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