By Topic

Efficient reconfiguration of distribution systems using ant colony optimization adapted by graph theory

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

3 Author(s)
Anil Swarnkar ; Department of Electrical Engineering, Malaviya National Institute of Technology, Jaipur, Rajasthan, India ; Nikhil Gupta ; K. R. Niazi

This paper presents an efficient method for the reconfiguration of radial distribution systems for minimization of real power loss using adapted ant colony optimization. The conventional ant colony optimization is adapted by graph theory to always create feasible radial topologies during the whole evolutionary process. This avoids tedious mesh check and hence reduces the computational burden. The initial population is created randomly and a heuristic spark is introduced to enhance the pace of the search process. The effectiveness of the proposed method is demonstrated on IEEE 33-bus and 70-bus test distribution systems and 135-bus real distribution system. The simulation results show that the proposed method is efficient and promising for reconfiguration problem of radial distribution systems.

Published in:

2011 IEEE Power and Energy Society General Meeting

Date of Conference:

24-29 July 2011