By Topic

Dynamic neural network for AGC in restructure 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

3 Author(s)
Sabahi, K. ; Mamaghan Branch, Islamic Azad Univ., Mamaghan, Iran ; Narimani, E. ; Faramarzi, A.

In This paper, a new adaptive controller based on unsupervised learning approach, named feedback error learning (FEL), is proposed for automatic generation control (AGC) of power system. In the FEL strategy, both feedforward and feedback controller are used for control of process, simultaneously. Generally, the feedback controller contains the classic controller, i.e. PID controller, and the feedforward controller is a neural network based controller. In this paper dynamic neural network (DNN) is used for feedforward controller. The DNN have some memory in his structure and improved the overall performance. The proposed FEL controller has been compared with the conventional FEL (CFEL) controller and the PID controllers for two areas restructure power system.

Published in:

Power and Energy (PECon), 2010 IEEE International Conference on

Date of Conference:

Nov. 29 2010-Dec. 1 2010