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...

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Main Authors: Yasin Z.M., Aziz N.F.A., Salim N.A., Wahab N.A., Rahmat N.A.
Other Authors: 57211410254
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Published: Institute of Advanced Engineering and Science 2023
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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
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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