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Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm

by Simona Dinu, Ioan Odagescu, Maria Moise
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 20 - Number 2
Year of Publication: 2011
Authors: Simona Dinu, Ioan Odagescu, Maria Moise
10.5120/2408-3204

Simona Dinu, Ioan Odagescu, Maria Moise . Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm. International Journal of Computer Applications. 20, 2 ( April 2011), 7-14. DOI=10.5120/2408-3204

@article{ 10.5120/2408-3204,
author = { Simona Dinu, Ioan Odagescu, Maria Moise },
title = { Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { April 2011 },
volume = { 20 },
number = { 2 },
month = { April },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume20/number2/2408-3204/ },
doi = { 10.5120/2408-3204 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:06:43.428626+05:30
%A Simona Dinu
%A Ioan Odagescu
%A Maria Moise
%T Environmental Economic Dispatch Optimization using a Modified Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 20
%N 2
%P 7-14
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper aims to develop a new Genetic Algorithm based approach to solve the Combined Environmental Economic Power Dispatch Problem. The essential features of our proposed algorithm include a diploid based complex-encoding with meiosis specific attributes and new mutation operators that performs global search during the initial generations and local search in the later generations. Using the parallel searching mechanism and the new defined mutation operators, the local searching ability of the algorithm is improved, as well as the algorithm’s efficiency. Results of comparative tests on a sample power system are presented, showing the better computation efficiency and convergence property of the proposed methodology.

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Index Terms

Computer Science
Information Sciences

Keywords

Multiobjective optimization. Environmental Economic Dispatch Genetic Algorithms. Diploidy

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