Staff View: Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints

Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints

Genetic algorithms; Learning algorithms; Multiobjective optimization; Particle swarm optimization (PSO); Combined economic emission dispatch; Multi-objective optimization problem; Performance metrics; Search Algorithms; Security constraint; Electric load dispatching

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Main Authors:	Rajagopalan A., Kasinathan P., Nagarajan K., Ramachandaramurthy V.K., Sengoden V., Alavandar S.
Other Authors:	57194865787
Format:	Article
Published:	John Wiley and Sons Ltd 2023
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id	my.uniten.dspace-24548
record_format	dspace
spelling	my.uniten.dspace-245482023-05-29T15:24:27Z Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints Rajagopalan A. Kasinathan P. Nagarajan K. Ramachandaramurthy V.K. Sengoden V. Alavandar S. 57194865787 57194393495 46161291900 6602912020 56644822400 23972273600 Genetic algorithms; Learning algorithms; Multiobjective optimization; Particle swarm optimization (PSO); Combined economic emission dispatch; Multi-objective optimization problem; Performance metrics; Search Algorithms; Security constraint; Electric load dispatching The main goal behind the combined economic emission dispatch (CEED) is to reduce the costs incurred upon fuel and emission for the generating units available without any intention to violate the generator and security constraints. Hence, the CEED must be handled after considering two challenging goals such as the costs involved with emission and fuel. In this paper, chaotic self-adaptive interior search algorithm (CSAISA) was proposed to solve the CEED problems, considering the nonlinear behavior of generators in terms of valve point effects, prohibited operating zones, and security constraints. The proposed algorithm was tested for its effectiveness using 11-generating units (without security), IEEE-30 bus system, and IEEE-118 bus system with security constraints. The results of the proposed CSAISA were compared with interior search algorithm (ISA), harmony search algorithm (HSA), differential evolution (DE), particle swarm optimization (PSO), and genetic algorithm (GA). To conclude, the proposed CSAISA outperformed all other algorithms in terms of convergence speed, implementation time, and solution quality, which was tested using performance metrics. � 2019 John Wiley & Sons, Ltd. Final 2023-05-29T07:24:27Z 2023-05-29T07:24:27Z 2019 Article 10.1002/2050-7038.12026 2-s2.0-85065659942 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065659942&doi=10.1002%2f2050-7038.12026&partnerID=40&md5=19a0be85ce05cbf8e7f308c1c83c2eb3 https://irepository.uniten.edu.my/handle/123456789/24548 29 8 e12026 All Open Access, Bronze John Wiley and Sons Ltd 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	Genetic algorithms; Learning algorithms; Multiobjective optimization; Particle swarm optimization (PSO); Combined economic emission dispatch; Multi-objective optimization problem; Performance metrics; Search Algorithms; Security constraint; Electric load dispatching
author2	57194865787
author_facet	57194865787 Rajagopalan A. Kasinathan P. Nagarajan K. Ramachandaramurthy V.K. Sengoden V. Alavandar S.
format	Article
author	Rajagopalan A. Kasinathan P. Nagarajan K. Ramachandaramurthy V.K. Sengoden V. Alavandar S.
spellingShingle	Rajagopalan A. Kasinathan P. Nagarajan K. Ramachandaramurthy V.K. Sengoden V. Alavandar S. Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
author_sort	Rajagopalan A.
title	Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
title_short	Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
title_full	Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
title_fullStr	Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
title_full_unstemmed	Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
title_sort	chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints
publisher	John Wiley and Sons Ltd
publishDate	2023
_version_	1806426248735358976
score	13.211869

Chaotic self-adaptive interior search algorithm to solve combined economic emission dispatch problems with security constraints

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