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

An adaptive clustering algorithm with high performance computing application to power system transient stability simulation

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)
Wang, X.Z. ; Dept. of Electr. Eng., Shanghai Jiao Tong Univ., Shanghai ; Yan, Z. ; Xue, W.

This paper presents an adaptive clustering algorithm based on power system network topology, initial power flow and given architecture. The sizes of the small cliques are derived using multi-constraint and multi-objective graph partitioning theory. The vertices of the graph represent units of computation, and the edges encode data dependencies. Tests for a 39-bus network, a 1056-bus network, a 3872-bus network and a 10188-bus network are reported, and the results show that the cluster-based partitioning produces smaller hyper-edge cut size and higher speedup than the traditional direct partitioning. An application to 3872-bus network shows that by the improved tree-based partitioning the speedup is improved by up to 51% compared to the traditional tree-based approach. Moreover, the results show that the partitioning results of improved tree-based partitioning algorithm and improved graph-based one are comparable. These results suggest that adaptive architecture- aware clustering algorithm can be combined with heterogeneous and changing computing resources.

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on

Date of Conference:

6-9 April 2008

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.