By Topic

An efficient on-line load-modeling algorithm for short-term forecasting of interconnected power systems

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

2 Author(s)
H. El-Sherief ; Exxon Production Research Company, Houston, TX, USA ; Y. Abdel-Magid

This note addresses itself to the problem of one-step-ahead forecasting of the load demand at all the loading nodes of an interconnected power system. A multivariable state-space combined parameter and state estimation technique is proposed. A normalized stochastic approximation method-which is computationally simple and exhibits good initial convergence-is used to generate estimates of the model parameters and the optimum filter gain matrix. The estimated parameters are then utilized to obtain a one-step-ahead forecast of the load demand. Some results of application of the proposed algorithm to real load pertaining to the Eastern Saudi Arabian power grids are presented.

Published in:

IEEE Transactions on Automatic Control  (Volume:29 ,  Issue: 2 )