Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey - Part i

doi:10.1109/ACCESS.2017.2723862

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	Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey - Part i
	Abbas, Ghulam 1; Gu, Jason 2,3; Farooq, Umar 2,4; Asad, Muhammad Usman 1; El-Hawary, Mohamed 2
刊名	IEEE Access
	2017-07-05
卷号	5 页码:15105-15141
关键词	Constrained optimization Electric load dispatching Scheduling Surveying Surveys Economic dispatch problems Meta-heuristic optimization techniques Network transmission loss Optimization techniques PSO and its variants and modified versions System constraints Valve-point loading effect VPL effects
ISSN号	2169-3536
DOI	10.1109/ACCESS.2017.2723862
英文摘要	A number of modern metaheuristic optimization techniques are being exploited to work out a single-objective economic dispatch (ED) problem. The dispatch problems even become more complicated and complex when they consider operational and system constraints, such as network transmission losses, valve-point loading effects originating due to sequential opening of a number of steam admission valves to meet the ever-increasing demand, ramp rate limits, prohibited operating zones, multiple fuel options, spinning reserve, and so on. The heavy constraints make the otherwise convex linear smooth dispatch problem as highly nonconvex nonlinear nonsmooth one. Finding optimal solution for such kind of a constrained nonlinear problem through the deterministic numerical and convex characteristics-based optimization techniques is a difficult task to accomplish. Researchers have frequently employed one of the metaheuristic optimization techniques with powerful computational ability named particle swarm optimization (PSO) to deal with this rather a complicated and toilsome dispatch problem. In Part I of the two-part paper, a comprehensive review or a survey of PSO and its modified versions (involve alterations in the basic structure of PSO) to resolve the constrained ED problem is presented. Part II covers purely the survey of hybrid forms of PSO (hybridization of PSO with other optimization techniques) to tackle the ED problem. The survey is presented in such a way that readers may understand how PSO can be made computationally more efficient. © 2013 IEEE.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
WOS记录号	WOS:000408176800022
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114903]
专题	兰州理工大学
作者单位	1.Electrical Engineering Department, University of Lahore, Lahore; 54000, Pakistan; 2.Department of Electrical and Computer Engineering, Dalhousie University, Halifax; NS; B3H 4R2, Canada; 3.Lanzhou University of Technology, Lanzhou; 730050, China; 4.Department of Electrical Engineering, University of the Punjab, Lahore, 54590, Pakistan
推荐引用方式 GB/T 7714	Abbas, Ghulam,Gu, Jason,Farooq, Umar,et al. Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey - Part i[J]. IEEE Access,2017,5:15105-15141.
APA	Abbas, Ghulam,Gu, Jason,Farooq, Umar,Asad, Muhammad Usman,&El-Hawary, Mohamed.(2017).Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey - Part i.IEEE Access,5,15105-15141.
MLA	Abbas, Ghulam,et al."Solution of an Economic Dispatch Problem Through Particle Swarm Optimization: A Detailed Survey - Part i".IEEE Access 5(2017):15105-15141.