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Application of Biogeography-based Optimization for Economic Dispatch Problems

by Bhuvnesh Khokhar, K.P.Singh Parmar, Surender Dahiya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 13
Year of Publication: 2012
Authors: Bhuvnesh Khokhar, K.P.Singh Parmar, Surender Dahiya
10.5120/7249-0309

Bhuvnesh Khokhar, K.P.Singh Parmar, Surender Dahiya . Application of Biogeography-based Optimization for Economic Dispatch Problems. International Journal of Computer Applications. 47, 13 ( June 2012), 25-30. DOI=10.5120/7249-0309

@article{ 10.5120/7249-0309,
author = { Bhuvnesh Khokhar, K.P.Singh Parmar, Surender Dahiya },
title = { Application of Biogeography-based Optimization for Economic Dispatch Problems },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 13 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number13/7249-0309/ },
doi = { 10.5120/7249-0309 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:47.222603+05:30
%A Bhuvnesh Khokhar
%A K.P.Singh Parmar
%A Surender Dahiya
%T Application of Biogeography-based Optimization for Economic Dispatch Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 13
%P 25-30
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, Biogeography-based optimization (BBO) algorithm has been presented for solving the economic dispatch (ED) problems. An optimal short-term thermal generation schedule for 24 time intervals has been presented for the same purpose. The BBO algorithm has been applied to two different test systems, one consisting of three generators and the other of six generators. The results obtained are compared with the conventional Lagrange multiplier method and the particle swarm optimization (PSO) method. The results show that the presented BBOalgorithm provides comparatively better solutions in terms of total fuel cost as compared to other methods. Also, the global search capability is enhanced and premature convergence is avoided.

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Index Terms

Computer Science
Information Sciences

Keywords

Biogeography-based Optimization Economic Dispatch Migration Mutation

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