Multiverse optimisation based technique for solving economic dispatch in power system
Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The opera...
Saved in:
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uniten.dspace-25209 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-252092023-05-29T16:07:22Z Multiverse optimisation based technique for solving economic dispatch in power system Suhaimi M.H. Musirin I. Hidayab M. Jelani S. Mansor M.H. 57216323227 8620004100 35790138900 57193388570 56372667100 Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossil-fuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents the Multiverse Optimisation (MVO) for solving the economic dispatch in a power system. The proposed Multiverse optimisation engine developed in this study is implemented on the IEEE 30-Bus Reliability Test System (RTS). It has five generators, all of which are denoted as the control variables for the optimisation process. To reveal the superiority of MVO, a similar process was conducted using Evolutionary Programming (EP). Results from both techniques were compared, and it was revealed that MVO had outperformed EP in terms of reduced cost of generation for the system. Copyright � 2020 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T08:07:22Z 2023-05-29T08:07:22Z 2020 Article 10.11591/ijeecs.v20.i1.pp485-491 2-s2.0-85091074518 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091074518&doi=10.11591%2fijeecs.v20.i1.pp485-491&partnerID=40&md5=3093a0a45979baa5064ce54f7471412c https://irepository.uniten.edu.my/handle/123456789/25209 20 1 485 491 All Open Access, Gold, Green Institute of Advanced Engineering and Science Scopus |
institution |
Universiti Tenaga Nasional |
building |
UNITEN Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Tenaga Nasional |
content_source |
UNITEN Institutional Repository |
url_provider |
http://dspace.uniten.edu.my/ |
description |
Economic dispatch (ED) is one of the many important components in a power system operation. It is designed to calculate the exact amount of power generation needed to ensure a minimum cost of generation. A power system with multiple generators should be running under an economic condition. The operating cost has to be minimised for any feasible load demand. The increase of power demand is getting higher throughout the year. Economic dispatch is used to schedule and control all output of the fossil-fuel or coal-generators to satisfy the system load demand at a minimum cost. This paper presents the Multiverse Optimisation (MVO) for solving the economic dispatch in a power system. The proposed Multiverse optimisation engine developed in this study is implemented on the IEEE 30-Bus Reliability Test System (RTS). It has five generators, all of which are denoted as the control variables for the optimisation process. To reveal the superiority of MVO, a similar process was conducted using Evolutionary Programming (EP). Results from both techniques were compared, and it was revealed that MVO had outperformed EP in terms of reduced cost of generation for the system. Copyright � 2020 Institute of Advanced Engineering and Science. All rights reserved. |
author2 |
57216323227 |
author_facet |
57216323227 Suhaimi M.H. Musirin I. Hidayab M. Jelani S. Mansor M.H. |
format |
Article |
author |
Suhaimi M.H. Musirin I. Hidayab M. Jelani S. Mansor M.H. |
spellingShingle |
Suhaimi M.H. Musirin I. Hidayab M. Jelani S. Mansor M.H. Multiverse optimisation based technique for solving economic dispatch in power system |
author_sort |
Suhaimi M.H. |
title |
Multiverse optimisation based technique for solving economic dispatch in power system |
title_short |
Multiverse optimisation based technique for solving economic dispatch in power system |
title_full |
Multiverse optimisation based technique for solving economic dispatch in power system |
title_fullStr |
Multiverse optimisation based technique for solving economic dispatch in power system |
title_full_unstemmed |
Multiverse optimisation based technique for solving economic dispatch in power system |
title_sort |
multiverse optimisation based technique for solving economic dispatch in power system |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2023 |
_version_ |
1806428129645821952 |
score |
13.222552 |