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...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2011
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.67210 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.672102023-01-09T00:25:37Z Biogeography based optimization (BBO) for economic load dispatch (ELD) problem / Ahmad Sari 2011 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 https://ir.uitm.edu.my/id/eprint/67210/ https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Sheikh Rahimullah, Bibi Norasiqin |
institution |
Universiti Teknologi MARA |
collection |
UiTM Institutional Repository |
language |
English |
advisor |
Sheikh Rahimullah, Bibi Norasiqin |
topic |
Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations |
spellingShingle |
Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations 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 |
qualification_level |
Bachelor degree |
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 |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2011 |
url |
https://ir.uitm.edu.my/id/eprint/67210/2/67210.pdf |
_version_ |
1783735666463473664 |