By Topic

A bacterial foraging PSO — DE algorithm for solving reserve constrained Dynamic Economic Dispatch problem

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

3 Author(s)
K. Vaisakh ; Department of Electrical Engineering, Andhra University, Visakhapatnam, AP, India ; P. Praveena ; S. Rama Mohana Rao

This paper introduces a solution to Dynamic Economic Dispatch (DED) problem using a hybrid optimization methodology bacterial foraging and PSO-DE (BPSO-DE) by integrating Bacterial foraging optimization Algorithm (BFOA), Particle Swarm Optimization (PSO) and Differential Evolution (DE). In the proposed method BFOA performs local search and global search for entire search space is accomplished through PSO-DE operators in this way they move to reach the global optimization. The BFOA also takes care of the constraints such as ramp-rate limits, valve-point loading effects, system load demand, prohibited operating zones, power losses and spinning reserve capacity. A ten unit test system is considered to show the effectiveness of the proposed method over other existing methods.

Published in:

Fuzzy Systems (FUZZ), 2011 IEEE International Conference on

Date of Conference:

27-30 June 2011