Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari
This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uitm-ir.67086 |
---|---|
record_format |
uketd_dc |
spelling |
my-uitm-ir.670862023-01-05T03:58:15Z Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari 2012 Nahari, Mohamad Erzat Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems. 2012 Thesis https://ir.uitm.edu.my/id/eprint/67086/ https://ir.uitm.edu.my/id/eprint/67086/2/67086.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 Nahari, Mohamad Erzat Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
description |
This paper presents a technique to solve economic dispatch (ED) with piecewise quadratic cost function (PQCF) by using particle swarm optimization (PSO) technique. Traditionally, each generator is represented by a single cost function. However, it is more realistic to represent the cost function as a piecewise quadratic function when deal with generation units that use multiple fuel sources. In this study, the proposed PSO technique was tested on 10 units system. The results obtained show that the proposed PSO method was indeed capable of obtaining the solutions of PQCF problems. |
format |
Thesis |
qualification_level |
Bachelor degree |
author |
Nahari, Mohamad Erzat |
author_facet |
Nahari, Mohamad Erzat |
author_sort |
Nahari, Mohamad Erzat |
title |
Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
title_short |
Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
title_full |
Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
title_fullStr |
Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
title_full_unstemmed |
Economic dispatch with piecewise quadratic cost functions using particle swarm optimization / Mohamad Erzat Nahari |
title_sort |
economic dispatch with piecewise quadratic cost functions using particle swarm optimization / mohamad erzat nahari |
granting_institution |
Universiti Teknologi MARA (UiTM) |
granting_department |
Faculty of Electrical Engineering |
publishDate |
2012 |
url |
https://ir.uitm.edu.my/id/eprint/67086/2/67086.pdf |
_version_ |
1783735659188453376 |