An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib

This thesis presents an Ant Colony Search Algorithm (ACSA) to solve unit commitment problem. The study involves the development of ACSA algorithm and engine to solve unit commitment issues. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints,...

Full description

Saved in:
Bibliographic Details
Main Author: Mohamad Jaibt, Mohamad Masri
Format: Article
Language:English
Published: 2010
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/108574/1/108574.pdf
https://ir.uitm.edu.my/id/eprint/108574/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.108574
record_format eprints
spelling my.uitm.ir.1085742025-01-09T06:25:45Z https://ir.uitm.edu.my/id/eprint/108574/ An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib Mohamad Jaibt, Mohamad Masri TK Electrical engineering. Electronics. Nuclear engineering This thesis presents an Ant Colony Search Algorithm (ACSA) to solve unit commitment problem. The study involves the development of ACSA algorithm and engine to solve unit commitment issues. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as minimization of the total objective function while satisfying the associated constraints. Problem specific operators are proposed for the satisfaction of time dependent constraints. Problem formulation, representation and the simulation results for a three and four units generator-scheduling problem are presented. 2010 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/108574/1/108574.pdf An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib. (2010) pp. 1-7.
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 TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle TK Electrical engineering. Electronics. Nuclear engineering
Mohamad Jaibt, Mohamad Masri
An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
description This thesis presents an Ant Colony Search Algorithm (ACSA) to solve unit commitment problem. The study involves the development of ACSA algorithm and engine to solve unit commitment issues. Problem formulation of the unit commitment takes into consideration the minimum up and down time constraints, start up cost and spinning reserve, which is defined as minimization of the total objective function while satisfying the associated constraints. Problem specific operators are proposed for the satisfaction of time dependent constraints. Problem formulation, representation and the simulation results for a three and four units generator-scheduling problem are presented.
format Article
author Mohamad Jaibt, Mohamad Masri
author_facet Mohamad Jaibt, Mohamad Masri
author_sort Mohamad Jaibt, Mohamad Masri
title An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
title_short An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
title_full An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
title_fullStr An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
title_full_unstemmed An Ant Colony Search Algorithm (ACSA) approach for unit commitment problem: article / Mohamad Masri Mohamad Jaib
title_sort ant colony search algorithm (acsa) approach for unit commitment problem: article / mohamad masri mohamad jaib
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/108574/1/108574.pdf
https://ir.uitm.edu.my/id/eprint/108574/
_version_ 1821006439758430208
score 13.235796