南方科技大学知识苑(SUSTech KC): Offshore booster station site selection based on an immune optimisation algorithm

题名	Offshore booster station site selection based on an immune optimisation algorithm
作者	Wang, Zhen 1; Wang, Yukuan 1; Zong, Fangyi 1; Yan, Xiangdong 1; Ke, Wende2 ; Kou, Lei 1; Yu, Zhen 1; Wan, Junhe 1; Zhang, Fangfang 1; Sun, Guohua 1; Hu, Zhiqiang 3
通讯作者	Kou, Lei
发表日期	2024
DOI	10.1504/IJCSM.2024.139079
发表期刊	INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS 影响因子和分区
ISSN	1752-5055
EISSN	1752-5063
卷号	19 期号:4
摘要	In the development and construction of offshore wind power, the offshore booster station undertakes the important task of gathering the power and delivering it to the onshore grid. At the same time, it also serves as a spare parts warehouse providing broken parts for wind turbines. Its site selection aims to improve maintenance efficiency and reduce the power loss caused by downtime. Considering factors such as the ageing of wind turbines and the occurrence of random breakdowns, we study the site selection optimisation problem of offshore booster stations. Firstly, the sum of the distances from the offshore booster station to all wind turbines is taken as the objective function. Then, a mathematical model of the offshore booster station site selection is constructed based on the objective function, and it is solved by an immune optimisation algorithm. Finally, the feasibility of the algorithm is verified by simulation experiments. The experimental results show that immune optimisation algorithms have better performance compared to genetic algorithms.
关键词	offshore booster station spare parts warehouse site selection optimisation immune optimisation algorithm genetic algorithm wind turbines
相关链接	[来源记录]
收录类别	ESCI ; EI
语种	英语
学校署名	其他
资助项目	Natural Science Foundation of Shandong Province["ZR2023QF036","ZR2021MD106","ZR2021MD070","ZR2023QE212","ZR2023MF089","ZR2021QF065"] ; Laoshan Laboratory Science and Technology Innovation Project[LSKJ202204704] ; Basic Research Projects of Science, Education and Industry Integration Pilot Project of Qilu University of Technology (Shandong Academy of Sciences)["2023PX081","2023PX031"] ; Talent Research Project of Qilu University of Technology (Shandong Academy of Sciences)["2023RCKY054","2023RCKY040"] ; Natural Science Foundation of Qingdao[23-2-1-121-zyyd-jch] ; Pivotal Technologies for Ocean Intelligent Sensing and Information Processing Based on End-to-End Cloud Architecture[2023JBZ02] ; The 2023 entrepreneurship and innovation program of Shandong for college students[S202310431061]
WOS研究方向	Engineering
WOS类目	Engineering, Multidisciplinary
WOS记录号	WOS:001246631200001
出版者	INDERSCIENCE ENTERPRISES LTD
来源库	Web of Science
引用统计
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/787578
专题	工学院_机械与能源工程系
作者单位	1.Qilu Univ Technol, Shandong Acad Sci, Inst Oceanog Instrumentat, Qingdao 266075, Peoples R China 2.Southern Univ Sci & Technol, Dept Mech & Energy Engn, Shenzhen 518055, Peoples R China 3.Taishan Univ, Sch Math & Stat, Tai An 271000, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhen,Wang, Yukuan,Zong, Fangyi,et al. Offshore booster station site selection based on an immune optimisation algorithm[J]. INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS,2024,19(4).
APA	Wang, Zhen.,Wang, Yukuan.,Zong, Fangyi.,Yan, Xiangdong.,Ke, Wende.,...&Hu, Zhiqiang.(2024).Offshore booster station site selection based on an immune optimisation algorithm.INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS,19(4).
MLA	Wang, Zhen,et al."Offshore booster station site selection based on an immune optimisation algorithm".INTERNATIONAL JOURNAL OF COMPUTING SCIENCE AND MATHEMATICS 19.4(2024).