南方科技大学知识苑(SUSTech KC): Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem

题名	Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem
作者	Kou, Lei 1; Wan, Junhe 1; Liu, Hailin 1; Ke, Wende2 ; Li, Hui 1; Chen, Jie 1; Yu, Zhen 1; Yuan, Quande 3
通讯作者	Liu, Hailin; Ke, Wende
发表日期	2023-09-01
DOI	10.1002/cpe.7907
发表期刊	CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 影响因子和分区
ISSN	1532-0626
EISSN	1532-0634
卷号	36 期号:2
摘要	With the rapid expansion of global offshore wind power market, the research on improving the full life cycle income and reducing the construction and operation and maintenance costs has attracted the attention of scholars in the industry. In view of the different aging degree and maintenance cycle of wind turbines, this paper studies the optimized design of patrol path for offshore wind farms based on genetic algorithm (GA) and particle swarm optimization (PSO) with traveling salesman problem (TSP). Firstly, the problem of patrol routing planning in offshore wind farms is described as the traveling salesman problem of shortest route optimization. Secondly, the GA and PSO algorithms are simulated and verified separately, and the patrol path distance is taken as the objective function. Finally, through simulation experiments, the optimized patrol path performances of PSO and GA are compared, which can help to find a shortest route and reduce the operation and maintenance costs.
关键词	genetic algorithm particle swarm optimization patrol path smart offshore wind farm traveling salesman problem
相关链接	[来源记录]
收录类别	SCI ; EI
语种	英语
学校署名	通讯
资助项目	Shandong Provincial Natural Science Foundation["ZR2023QF036","ZR2021MD070","ZR2023QE212"] ; Talent Research Project of Qilu University of Technology (Shandong Academy of Sciences)["2023RCKY054","2023RCKY040"] ; Basic Research Projects of Science, Education and Industry Integration Pilot Project ofQilu University of Technology (Shandong Academy of Sciences)["2023PX081","2023PX031"] ; Natural Science Foundation of Qingdao[3-2-1-121-zyyd-jch]
WOS研究方向	Computer Science
WOS类目	Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:001060196400001
出版者	WILEY
ESI学科分类	COMPUTER SCIENCE
Scopus记录号	2-s2.0-85170036558
来源库	Web of Science
引用统计	被引频次[WOS]：4
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/559320
专题	工学院_机械与能源工程系
作者单位	1.Shandong Acad Sci, Qilu Univ Technol, Inst Oceanog Instrumentat, Qingdao, Peoples R China 2.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen, Peoples R China 3.Changchun Inst Technol, Sch Comp Technol & Engn, Changchun, Peoples R China
通讯作者单位	机械与能源工程系
推荐引用方式 GB/T 7714	Kou, Lei,Wan, Junhe,Liu, Hailin,et al. Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem[J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,2023,36(2).
APA	Kou, Lei.,Wan, Junhe.,Liu, Hailin.,Ke, Wende.,Li, Hui.,...&Yuan, Quande.(2023).Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem.CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE,36(2).
MLA	Kou, Lei,et al."Optimized design of patrol path for offshore wind farms based on genetic algorithm and particle swarm optimization with traveling salesman problem".CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 36.2(2023).