By Topic

On-line extraction of modal characteristics from power system measurements based on Hilbert-Huang analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Zarraga, F.L. ; Dept. of Electr. Eng., CINVESTAV-IPN, Guadalajara, Mexico

Hilbert-Huang has been used as a systematic approach to analyze and characterize the temporal evolution of nonlinear, time varying process in power systems. In this paper an efficient method for analyzing the local dynamics of transient oscillations using a local empirical mode decomposition (EMD) and the Hilbert transform is presented. Two novel approaches are investigated to characterize non-stationary issues. The first technique is a local implementation of the EMD technique, through a combination of a sliding window of finite length with the sifting process by blocks. The second method is an algorithm to compute the Hilbert transform using variable window filters. Approaches to extending Hilbert-Huang analysis to analyze the local properties of non-stationary signals are explored based on finite-impulse-response (FIR) designed using Kaiser window. Through this proposed methodology is possible to make an online analysis technique for measured data using the Hilbert-Huang method. These techniques are tested on time-synchronized phasor measurements collected by PMUs. Offline technique is used in the analysis of transient phenomena emerged in power systems to compare results.

Published in:

Electrical Engineering, Computing Science and Automatic Control,CCE,2009 6th International Conference on

Date of Conference:

10-13 Jan. 2009