Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari

This paper presents a Biogeography Based Optimization (BBO) for Economic Load Dispatch (ELD) problems. Using this method, the biological algorithm in optimization problem can be studied and the best minimum of total generation cost can be obtained. ELD is used to allocate the power generators to mee...

Full description

Saved in:
Bibliographic Details
Main Author: Sari, Ahmad
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf
https://ir.uitm.edu.my/id/eprint/67210/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.67210
record_format eprints
spelling my.uitm.ir.672102023-01-09T00:25:37Z https://ir.uitm.edu.my/id/eprint/67210/ Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari Sari, Ahmad Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents a Biogeography Based Optimization (BBO) for Economic Load Dispatch (ELD) problems. Using this method, the biological algorithm in optimization problem can be studied and the best minimum of total generation cost can be obtained. ELD is used to allocate the power generators to meet the total load demand at minimum operating cost while satisfying an equality and inequality constraints. This method seems to be a promising alternative approach for solving ELD problems in practical power system. The ELD based BBO are tested on six generators with limit and without losses. The power demand is set as 1263MW. The proposed BBO shows that BBO can be used to solve the economic dispatch problem. 2011 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari. (2011) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
spellingShingle Production of electric energy or power. Powerplants. Central stations
Electric power distribution. Electric power transmission
Sari, Ahmad
Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
description This paper presents a Biogeography Based Optimization (BBO) for Economic Load Dispatch (ELD) problems. Using this method, the biological algorithm in optimization problem can be studied and the best minimum of total generation cost can be obtained. ELD is used to allocate the power generators to meet the total load demand at minimum operating cost while satisfying an equality and inequality constraints. This method seems to be a promising alternative approach for solving ELD problems in practical power system. The ELD based BBO are tested on six generators with limit and without losses. The power demand is set as 1263MW. The proposed BBO shows that BBO can be used to solve the economic dispatch problem.
format Thesis
author Sari, Ahmad
author_facet Sari, Ahmad
author_sort Sari, Ahmad
title Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
title_short Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
title_full Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
title_fullStr Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
title_full_unstemmed Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari
title_sort biogeography based optimization (bbo) for economic load dispatch (eld) problem / ahmad sari
publishDate 2011
url https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf
https://ir.uitm.edu.my/id/eprint/67210/
_version_ 1754533160944664576
score 13.211869