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

doi:10.1109/ACCESS.2017.2723862

	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
	2017-07-05
发表期刊	IEEE Access
ISSN	2169-3536
卷号	5 页码:15105-15141
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.
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
DOI	10.1109/ACCESS.2017.2723862
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000408176800022
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20172903946798
EI主题词	Particle swarm optimization (PSO)
EI分类号	405.3 Surveying - 706.1.1 Electric Power Transmission - 723 Computer Software, Data Handling and Applications - 912.2 Management - 961 Systems Science
来源库	Compendex
分类代码	405.3 Surveying - 706.1.1 Electric Power Transmission - 723 Computer Software, Data Handling and Applications - 912.2 Management - 961 Systems Science
引用统计	被引频次：74[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114903
专题	兰州理工大学
通讯作者	Farooq, Umar
作者单位	1.Univ Lahore, Elect Engn Dept, Lahore 54000, Pakistan; 2.Dalhousie Univ, Dept Elect & Comp Engn, Halifax, NS B3H 4R2, Canada; 3.Lanzhou Univ Technol, Lanzhou 730050, Gansu, Peoples R China; 4.Univ Punjab, Dept Elect Engn, 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.