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

Network reconfiguration algorithm for automated distribution systems based on artificial intelligence approach

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)
Kyung-Hee Jung ; Dept. of Distribution System, Korea Electrotechnol. Res. Inst., Changwon, South Korea ; Hoyong Kim ; Yunseok Ko

This study develops an expert system to solve the problems of the main transformer (MTr) or feeder overload and the feeder constraint violation in automated distribution systems, where each feeder is subject to the thermal overload and voltage-drop limits. The objective is to perform the network reconfiguration by switching the tie and sectionalizing switches so that the system violation is removed, while achieving load balance of the MTrs and feeders with a fewer number of switching operations. Since the switching operation in a practical system does not cause a large change in the voltage, an approximation method is used in order to check the voltage violation, instead of a full AC load flow solution. To reduce the search space, an expert system based on heuristic rules is presented, and implemented in PROLOG. This system adopts the best first tree search technique. List processing and recursive programming techniques are then utilized to solve the combinatorial type optimization problem. The computational results are also prepared to show the performance of the heuristic algorithms developed

Published in:

Power Delivery, IEEE Transactions on  (Volume:8 ,  Issue: 4 )

Date of Publication:

Oct 1993

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.