A cuckoo search optimization scheme for non-convex economic load dispatch

This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch (ELD) problems. The proposed methodology easily deals with non-smoothness of cost function arising due to the use of valve point effects. The performance of the algorithm has been tested on systems p...

Full description

Saved in:
Bibliographic Details
Main Authors: Mustafa, M. W., Abdilahi, A. M.
Format: Article
Language:English
Published: Asian Research Publishing Network 2017
Subjects:
Online Access:http://eprints.utm.my/id/eprint/75402/1/MohdWazirMustafa_ACuckooSearchOptimizationScheme.pdf
http://eprints.utm.my/id/eprint/75402/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014112543&partnerID=40&md5=67e762b84a94eb547d8a332045bf5635
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.75402
record_format eprints
spelling my.utm.754022018-03-22T11:07:32Z http://eprints.utm.my/id/eprint/75402/ A cuckoo search optimization scheme for non-convex economic load dispatch Mustafa, M. W. Abdilahi, A. M. TK Electrical engineering. Electronics Nuclear engineering This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch (ELD) problems. The proposed methodology easily deals with non-smoothness of cost function arising due to the use of valve point effects. The performance of the algorithm has been tested on systems possessing 13 and 40 generating units involving varying degrees of complexity. The findings affirm that the method outperforms the existing techniques, and can be a promising alternative approach for solving the ELD problems in practical power system. Asian Research Publishing Network 2017 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/75402/1/MohdWazirMustafa_ACuckooSearchOptimizationScheme.pdf Mustafa, M. W. and Abdilahi, A. M. (2017) A cuckoo search optimization scheme for non-convex economic load dispatch. ARPN Journal of Engineering and Applied Sciences, 12 (4). pp. 1014-1024. ISSN 1819-6608 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014112543&partnerID=40&md5=67e762b84a94eb547d8a332045bf5635
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mustafa, M. W.
Abdilahi, A. M.
A cuckoo search optimization scheme for non-convex economic load dispatch
description This paper presents a Cuckoo Search (CS) based algorithm to solve constrained economic load dispatch (ELD) problems. The proposed methodology easily deals with non-smoothness of cost function arising due to the use of valve point effects. The performance of the algorithm has been tested on systems possessing 13 and 40 generating units involving varying degrees of complexity. The findings affirm that the method outperforms the existing techniques, and can be a promising alternative approach for solving the ELD problems in practical power system.
format Article
author Mustafa, M. W.
Abdilahi, A. M.
author_facet Mustafa, M. W.
Abdilahi, A. M.
author_sort Mustafa, M. W.
title A cuckoo search optimization scheme for non-convex economic load dispatch
title_short A cuckoo search optimization scheme for non-convex economic load dispatch
title_full A cuckoo search optimization scheme for non-convex economic load dispatch
title_fullStr A cuckoo search optimization scheme for non-convex economic load dispatch
title_full_unstemmed A cuckoo search optimization scheme for non-convex economic load dispatch
title_sort cuckoo search optimization scheme for non-convex economic load dispatch
publisher Asian Research Publishing Network
publishDate 2017
url http://eprints.utm.my/id/eprint/75402/1/MohdWazirMustafa_ACuckooSearchOptimizationScheme.pdf
http://eprints.utm.my/id/eprint/75402/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85014112543&partnerID=40&md5=67e762b84a94eb547d8a332045bf5635
_version_ 1643657053783195648
score 13.18916