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Optimization Generation Expansion Planning by HBMO

by Zakariya hejrati, Ebrahim hejrati, Atefeh taheri.moghadam
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 7
Year of Publication: 2012
Authors: Zakariya hejrati, Ebrahim hejrati, Atefeh taheri.moghadam
10.5120/4620-6629

Zakariya hejrati, Ebrahim hejrati, Atefeh taheri.moghadam . Optimization Generation Expansion Planning by HBMO. International Journal of Computer Applications. 37, 7 ( January 2012), 25-31. DOI=10.5120/4620-6629

@article{ 10.5120/4620-6629,
author = { Zakariya hejrati, Ebrahim hejrati, Atefeh taheri.moghadam },
title = { Optimization Generation Expansion Planning by HBMO },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 7 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 25-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number7/4620-6629/ },
doi = { 10.5120/4620-6629 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:23:42.113352+05:30
%A Zakariya hejrati
%A Ebrahim hejrati
%A Atefeh taheri.moghadam
%T Optimization Generation Expansion Planning by HBMO
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 7
%P 25-31
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The generation expansion planning (GEP) problem is a large-scale mixed integer nonlinear programming (MINLP) problem cited as one of the most complex optimization problems. In this paper, an application of honey bee mating optimization for solving the generation expansion planning problem is presented. In the formulation, the objective is to minimize investment cost. The GEP problem considered is a test system for a six-year planning horizon having five types of candidate units. The results are compared and validated.

References
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Index Terms

Computer Science
Information Sciences

Keywords

generation expansion planning honey bee mating optimization Investments.

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