By Topic

Feature extraction for islanding detection using Wavelet Transform-based Multi-Resolution 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

2 Author(s)

This paper proposes a feature extraction method for islanding detection via Wavelet Transform (WT)-based Multi-Resolution Analysis (MRA). The WT-based MRA method is used to decompose the output voltage signals of distributed generation sources into different scales. A series of Wavelet Coefficients (WCs) is generated for each scale, which corresponds to a certain frequency bandwidth. The features for identifying islanding are extracted from the WCs by computing the ratio of the change of WCs before and after islanding. Simulation studies have been carried out for an inverter-based DG under different operating conditions using EMTP-RV. The simulation results show that the features obtained by the WT-based MRA method indicate the changes in high frequency harmonic components and can be potentially used for identifying islanding under different operating conditions.

Published in:

Power and Energy Society General Meeting, 2012 IEEE

Date of Conference:

22-26 July 2012