By Topic

Dynamic tracking of low-frequency oscillations with improved Prony method in wide-area measurement system

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
$33 $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

4 Author(s)
Jinyu Xiao ; Dept. of Electr. Eng., Tsinghua Univ., Beijing, China ; Xiaorong Xie ; Yingduo Han ; Jingtao Wu

An improved Prony method for online dynamic tracking of low-frequency oscillations (DTLFO) in wide-are measurement system (WAMS) is proposed in this paper. It employs the characteristic of singular value distribution of the sample matrix to identify a reduced-order signal model. Then, the corresponding linear-prediction parameters are worked out in sense of singular linear least square. The obtained low-order system retains the dominant swing modes of interest and exhibits modal characteristics similar to the unreduced system in frequency domain associated with swing modes. Digital simulations verify the accuracy, speed and robustness of the improved algorithm. In one of the latest commissioned WAMS project, i.e., Jiangsu provincial WAMS, this algorithm is implemented as an online application to dynamically track low-frequency power oscillation in real time. The captured oscillatory event demonstrates the feasibility and good performance of the algorithm. With the reduced-order system model identified using the improved Prony method, our next work is to develop an online adaptive damping control system based on wide-area measurements.

Published in:

Power Engineering Society General Meeting, 2004. IEEE

Date of Conference:

10-10 June 2004