By Topic

Active and reactive power rescheduling for congestion management using particle swarm optimization

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)
S. K. Joshi ; Department of Electrical Engineering, M. S. University of Baroda, Vadodara, India ; K. S. Pandya

In the competitive electricity market, it is not always possible to discharge all of the contracted power transactions due to congestion in the transmission lines. In most cases, Independent System Operator tries to remove congestion by rescheduling output power of the generators. In this research paper, active and reactive power generator sensitivity factors of the generators to the congested lines have been used to determine the number of generators participating in congestion management. Secondly, Particle Swarm Optimization (PSO) based algorithm has been suggested to minimize the deviations of rescheduled values of active and reactive powers of generators from scheduled values, considering voltage stability enhancement and voltage profile improvement criteria. Thus, rescheduling cost of active power and reactive power were minimized by PSO. The proposed algorithm has been tested on IEEE 30 bus system and results obtained have been compared with previous literature in terms of solution quality.

Published in:

Universities Power Engineering Conference (AUPEC), 2011 21st Australasian

Date of Conference:

25-28 Sept. 2011