Optimal economic load dispatch using multiobjective cuckoo search algorithm
In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and ineq...
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-23681 |
---|---|
record_format |
dspace |
spelling |
my.uniten.dspace-236812023-05-29T14:51:00Z Optimal economic load dispatch using multiobjective cuckoo search algorithm Yasin Z.M. Aziz N.F.A. Salim N.A. Wahab N.A. Rahmat N.A. 57211410254 57221906825 36806685300 35790572400 55647163881 In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to test the effectiveness of the proposed technique which are fuel cost minimization, carbon emission minimization and multiobjective function with fixed weighted sum. The effectiveness of the MOCSA�s performances are illustrated through comparative study with other techniques such as Multiobjective Genetic Algorithm (MOGA) and Multiobjective Particle Swarm Optimization (MOPSO) in terms of fitness functions. The proposed study was conducted on three generating unit system at various loading condition. The result proved that MOCSA provide better solution in minimizing fuel cost and carbon emission usage as compared to other techniques. � 2018 Institute of Advanced Engineering and Science All rights reserved. Final 2023-05-29T06:51:00Z 2023-05-29T06:51:00Z 2018 Article 10.11591/ijeecs.v12.i1.pp168-174 2-s2.0-85051242715 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051242715&doi=10.11591%2fijeecs.v12.i1.pp168-174&partnerID=40&md5=9095ce60f5e3e2ad249c6fb9ee27d777 https://irepository.uniten.edu.my/handle/123456789/23681 12 1 168 174 All Open Access, 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 |
In this paper, Multiobjective Cuckoo Search Algorithm (MOCSA) is developed to solve Economic Load Dispatch (ELD) problem. The main goal of the ELD is to meet the load demand at minimum operating cost by determining the output of the committed generating unit while satisfying system equality and inequality constraints. The problem formulation is based on a multiobjective model in which the multiobjective are defined as fuel cost minimization and carbon emission minimization. MOCSA is based on the inspiration from the brooding parasitism of cuckoo species in nature. Three cases are considered to test the effectiveness of the proposed technique which are fuel cost minimization, carbon emission minimization and multiobjective function with fixed weighted sum. The effectiveness of the MOCSA�s performances are illustrated through comparative study with other techniques such as Multiobjective Genetic Algorithm (MOGA) and Multiobjective Particle Swarm Optimization (MOPSO) in terms of fitness functions. The proposed study was conducted on three generating unit system at various loading condition. The result proved that MOCSA provide better solution in minimizing fuel cost and carbon emission usage as compared to other techniques. � 2018 Institute of Advanced Engineering and Science All rights reserved. |
author2 |
57211410254 |
author_facet |
57211410254 Yasin Z.M. Aziz N.F.A. Salim N.A. Wahab N.A. Rahmat N.A. |
format |
Article |
author |
Yasin Z.M. Aziz N.F.A. Salim N.A. Wahab N.A. Rahmat N.A. |
spellingShingle |
Yasin Z.M. Aziz N.F.A. Salim N.A. Wahab N.A. Rahmat N.A. Optimal economic load dispatch using multiobjective cuckoo search algorithm |
author_sort |
Yasin Z.M. |
title |
Optimal economic load dispatch using multiobjective cuckoo search algorithm |
title_short |
Optimal economic load dispatch using multiobjective cuckoo search algorithm |
title_full |
Optimal economic load dispatch using multiobjective cuckoo search algorithm |
title_fullStr |
Optimal economic load dispatch using multiobjective cuckoo search algorithm |
title_full_unstemmed |
Optimal economic load dispatch using multiobjective cuckoo search algorithm |
title_sort |
optimal economic load dispatch using multiobjective cuckoo search algorithm |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2023 |
_version_ |
1806428292058710016 |
score |
13.214268 |