Q. Fang, Identifiability Analysis of a Wind Generation Unit Model Using Global Sensitivity Analysis, 3rd March 2016.

 

Abstract:

This seminar 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.

 

Biography:

Qing FANG received her B. Eng. In Electrical Engineering and its Automation, from North China Electric Power University, China in 2012. She is currently working on parameter estimation of wind generation unit models towards a PhD in Electrical and Electronic Engineering at the University of Adelaide.

 

 

 

 

date and time Thursday, 3rd March, 2016
4:10pm
location

S111 Engineering Sth
(Where’s this?)

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