An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems

Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey wolves (Canis Lupus). This GWO algorithm mimics the nature of grey wolves in leadership hierarchy and hunting mechanism. This paper is in the purpose of introducing GWO to solve combined economic emis...

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Main Authors:	Hong, Mee Song, M. H., Sulaiman, Mohd Rusllim, Mohamed
Format:	Article
Published:	Praise Worthy Prize 2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/8007/ http://umpir.ump.edu.my/id/eprint/8007/ http://umpir.ump.edu.my/id/eprint/8007/

id	ump-8007
recordtype	eprints
spelling	ump-80072018-03-07T03:32:34Z http://umpir.ump.edu.my/id/eprint/8007/ An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems Hong, Mee Song M. H., Sulaiman Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey wolves (Canis Lupus). This GWO algorithm mimics the nature of grey wolves in leadership hierarchy and hunting mechanism. This paper is in the purpose of introducing GWO to solve combined economic emission dispatch problem (CEED) in power system. CEED actually is a bi-objective problem where the objective of economic dispatch (ED) and emission dispatch (EMD) are combined into a single function by using price penalty factor. Hence, CEED is used to minimize total generation cost by minimized fuel cost and emission at the same time determines the optimum power generation. The proposed algorithm will be implemented in two different systems which are 6 and 11-generating unit test systems with different constraints on various power load demands. The results were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of GWO. Praise Worthy Prize 2014-10 Article PeerReviewed Hong, Mee Song and M. H., Sulaiman and Mohd Rusllim, Mohamed (2014) An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems. International Review on Modelling and Simulations (I.R.E.M.O.S), 7 (5). pp. 838-844. ISSN 1974-9821 http://dx.doi.org/10.15866/iremos.v7i5.2799 DOI: 10.15866/iremos.v7i5.2799
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Hong, Mee Song M. H., Sulaiman Mohd Rusllim, Mohamed An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
description	Grey Wolf Optimizer (GWO) is a newly proposed algorithm that developed based on inspiration of grey wolves (Canis Lupus). This GWO algorithm mimics the nature of grey wolves in leadership hierarchy and hunting mechanism. This paper is in the purpose of introducing GWO to solve combined economic emission dispatch problem (CEED) in power system. CEED actually is a bi-objective problem where the objective of economic dispatch (ED) and emission dispatch (EMD) are combined into a single function by using price penalty factor. Hence, CEED is used to minimize total generation cost by minimized fuel cost and emission at the same time determines the optimum power generation. The proposed algorithm will be implemented in two different systems which are 6 and 11-generating unit test systems with different constraints on various power load demands. The results were compared with the optimization techniques reported in recent literature in order to observe the effectiveness of GWO.
format	Article
author	Hong, Mee Song M. H., Sulaiman Mohd Rusllim, Mohamed
author_facet	Hong, Mee Song M. H., Sulaiman Mohd Rusllim, Mohamed
author_sort	Hong, Mee Song
title	An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
title_short	An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
title_full	An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
title_fullStr	An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
title_full_unstemmed	An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems
title_sort	application of grey wolf optimizer for solving combined economic emission dispatch problems
publisher	Praise Worthy Prize
publishDate	2014
url	http://umpir.ump.edu.my/id/eprint/8007/ http://umpir.ump.edu.my/id/eprint/8007/ http://umpir.ump.edu.my/id/eprint/8007/
first_indexed	2023-09-18T22:05:14Z
last_indexed	2023-09-18T22:05:14Z
_version_	1777414664023441408

An Application of Grey Wolf Optimizer for Solving Combined Economic Emission Dispatch Problems

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