干旱区生态环境知识资源中心(Arid): (???????)An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem

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DOI	10.3390/math9212770
	(???????)An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem
	Said, Mokhtar; El-Rifaie, Ali M.; Tolba, Mohamed A.; Houssein, Essam H.; Deb, Sanchari
通讯作者	Said, M (corresponding author), Fayoum Univ, Elect Engn Dept, Fac Engn, Al Fayyum 43518, Egypt. ; El-Rifaie, AM (corresponding author), Amer Univ Middle East, Coll Engn & Technol, Egaila 54200, Kuwait.
来源期刊	MATHEMATICS
EISSN	2227-7390
出版年	2021
卷号	9 期号:21
英文摘要	Economic Load Dispatch (ELD) is a complicated and demanding problem for power engineers. ELD relates to the minimization of the economic cost of production, thereby allocating the produced power by each unit in the most possible economic manner. In recent years, emphasis has been laid on minimization of emissions, in addition to cost, resulting in the Combined Economic and Emission Dispatch (CEED) problem. The solutions of the ELD and CEED problems are mostly dominated by metaheuristics. The performance of the Chameleon Swarm Algorithm (CSA) for solving the ELD problem was tested in this work. CSA mimics the hunting and food searching mechanism of chameleons. This algorithm takes into account the dynamics of food hunting of the chameleon on trees, deserts, and near swamps. The performance of the aforementioned algorithm was compared with a number of advanced algorithms in solving the ELD and CEED problems, such as Sine Cosine Algorithm (SCA), Grey Wolf Optimization (GWO), and Earth Worm Algorithm (EWA). The simulated results established the efficacy of the proposed CSA algorithm. The power mismatch factor is the main item in ELD problems. The best value of this factor must tend to nearly zero. The CSA algorithm achieves the best power mismatch values of 3.16x10(-13), 4.16x10(-12) and 1.28x10(-12) for demand loads of 700, 1000, and 1200 MW, respectively, of the ELD problem. The CSA algorithm achieves the best power mismatch values of 6.41x10(-13) , 8.92x10(-13) and 1.68x10(-12) for demand loads of 700, 1000, and 1200 MW, respectively, of the CEED problem. Thus, the CSA algorithm was found to be superior to the algorithms compared in this work.
英文关键词	chameleon swarm algorithm optimization economic load dispatch combined emission economic dispatch
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000718944900001
WOS关键词	FREE-LUNCH THEOREM ; SIMPLE EXPLANATION ; MULTIPLE FUELS ; OPTIMIZATION
WOS类目	Mathematics
WOS研究方向	Mathematics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373826
作者单位	[Said, Mokhtar] Fayoum Univ, Elect Engn Dept, Fac Engn, Al Fayyum 43518, Egypt; [El-Rifaie, Ali M.] Amer Univ Middle East, Coll Engn & Technol, Egaila 54200, Kuwait; [Tolba, Mohamed A.] Egyptian Atom Energy Author, Reactors Dept, Nucl Res Ctr, Cairo 11787, Egypt; [Tolba, Mohamed A.] Moscow Power Engn Inst, Elect Power Syst Dept, Moscow 111250, Russia; [Houssein, Essam H.] Minia Univ, Fac Comp & Informat, Al Minya 61519, Egypt; [Deb, Sanchari] Finland Ltd, VTT Tech Res Ctr, Espoo 02044, Finland
推荐引用方式 GB/T 7714	Said, Mokhtar,El-Rifaie, Ali M.,Tolba, Mohamed A.,et al. (???????)An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem[J],2021,9(21).
APA	Said, Mokhtar,El-Rifaie, Ali M.,Tolba, Mohamed A.,Houssein, Essam H.,&Deb, Sanchari.(2021).(???????)An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem.MATHEMATICS,9(21).
MLA	Said, Mokhtar,et al."(???????)An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem".MATHEMATICS 9.21(2021).