By Topic

Particle Swarm Optimization for next generation Smart Grid outage analyses

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

2 Author(s)
Zhe Chen ; Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, USA ; Ashwini Chegu

Smart Grid realization has been an ultimate goal for the power research community. The goal makes it necessary to incorporate the advanced algorithm and new technologies to make the power system more robust and secure. In order to reduce system-wide blackouts, high order contingency has to be analyzed and extensive work has been performed on N-k contingency studies. This paper proposes to use the Artificial Intelligence algorithm Particle Swarm Optimization (PSO) in solving cascading power outage failure problems, identifying potential risk, quantifying fitness results, and providing important guidance for system operators and business owners to make informed decisions.

Published in:

Transmission and Distribution Conference and Exposition (T&D), 2012 IEEE PES

Date of Conference:

7-10 May 2012