By Topic

Particle Swarm Optimization and hybrid algorithm applied to generation and demand dispatch

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)
de Fatima Araujo, T. ; Grad. Program in Electr. Eng., Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil ; Uturbey, W.

This paper addresses the generation and demand dispatch problem using the Particle Swarm Optimization (PSO) technique and a hybrid algorithm, based on the PSO and the differential evolution algorithm. The problem is formulated in the context of a small grid, whose manager dispatches generation and flexible demand along a time horizon in order to minimize generation costs. Unit commitment of generation units is represented. Power flow equality constraints and inequality constraints due to operational limits are modeled. Two applications, one using the IEEE 30-bus test system, are conducted in order to assess and compare both evolutionary algorithms performance. The importance of comparing stochastic algorithms performance on a statistical base is stated.

Published in:

Environment and Electrical Engineering (EEEIC), 2012 11th International Conference on

Date of Conference:

18-25 May 2012