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

AGC parameters optimization using real coded genetic algorithm

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)
Li Pingkang ; Sch. of Mech., Electronical & Control Eng., Northern Jiaotong Univ., Beijing, China ; Du Xiuxia ; Liu Yulin

A real coded genetic algorithm (RCGA) for parameter optimization of multiarea automatic generating control (AGC) has been proposed. Instead of using a traditional analysis algorithm to obtain the controller parameters, GA optimization technology is introduced and the MATLAB Simulink model is designed as an AGC parameter optimization tool to deal with the interconnection of the AGC loops. Utilizing GA's parallel strings searching in many peaks, the multi variable optimization of multiarea power systems AGC is processed quickly. The nonlinear objects such as generation rate constraint (GRC) and deadband of the turbine governor are treated easily by combination of GA with Simulink. The simulation of a two-area power systems with PID controllers is reported and the results are reasonable.

Published in:

Power System Technology, 2002. Proceedings. PowerCon 2002. International Conference on  (Volume:1 )

Date of Conference:

13-17 Oct 2002

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.