International Journal of Computational Intelligence Systems

Volume 7, Issue 5, October 2014, Pages 973 - 978

Ant colony system algorithm for optimal network reconfiguration

Authors
Shabana Mehfuz, Farah Rashid
Corresponding Author
Shabana Mehfuz
Received 21 May 2013, Accepted 18 March 2014, Available Online 1 October 2014.
DOI
10.1080/18756891.2014.960235How to use a DOI?
Keywords
Optimal losses, Network reconfiguration, Load Flow, Ant Colony Optimization
Abstract

Network reconfiguration of a power distribution system is an operation to alter the topological structure of distribution feeders by changing open/closed status of sectionalizing and tie switches. Network reconfiguration balances feeder loads and helps in managing overload conditions of the network by transferring load from heavily loaded feeders to lightly loaded ones. In this paper we have introduced an ant colony system algorithm for performing network reconfiguration efficiently so as to minimize power losses occurring in a distribution network. The main idea is that of having a set of agents, called , which perform search in parallel for good solutions and cooperate through pheromone-mediated indirect and global communication. Informally, each ant constructs a solution path in an iterative way. Validation of the proposed algorithm has been carried using a standard IEEE network. The results found are satisfactory and prove ant colony system algorithm to be an efficient tool for optimal network reconfiguration.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
7 - 5
Pages
973 - 978
Publication Date
2014/10/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2014.960235How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Shabana Mehfuz
AU  - Farah Rashid
PY  - 2014
DA  - 2014/10/01
TI  - Ant colony system algorithm for optimal network reconfiguration
JO  - International Journal of Computational Intelligence Systems
SP  - 973
EP  - 978
VL  - 7
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2014.960235
DO  - 10.1080/18756891.2014.960235
ID  - Mehfuz2014
ER  -