Cart (Loading....) | Create Account
Close category search window

An effective hybrid approach for Dynamic State Estimation in Power 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
$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

4 Author(s)
Han, L. ; Sch. of Electr. Eng., Shandong Univ., Jinan ; Han, X.S. ; Chen, F. ; Zha, H.

Power system dynamic state estimation (DSE) considers statistical characters of systemic state variables in past period, has functions of state estimation and forecasting, posses predominance that state estimation hasn't in terms of theory and practicability. On the basis of further study at DSE theory and method, a general framework for self-adapting dynamic estimator is presented here to improve the forecasting and filtering models. Forecasting model uses ultra-short term multi- node load forecasting technique to increase state forecasting accuracy. Filtering model adopts least square support vector machines (LS-SVM) technique, whose nonlinear functions fitting performance is stronger than traditional artificial neutral network (ANN), to find an adaptive dynamic filter. It makes a satisfying result in actual application for power system control center of Shandong province.

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Date of Conference:

6-9 April 2008

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.