Title: Offshore booster station site selection based on an immune optimisation algorithm

Authors: Zhen Wang; Yukuan Wang; Fangyi Zong; Xiangdong Yan; Wende Ke; Lei Kou; Zhen Yu; Junhe Wan; Fangfang Zhang; Guohua Sun; Zhiqiang Hu

Addresses: Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen, 518055, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao, 266075, China ' School of Mathematics and Statistics, Taishan University, Taian, 271000, China

Abstract: 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.

Keywords: offshore booster station; spare parts warehouse; site selection optimisation; immune optimisation algorithm; genetic algorithm; wind turbines.

DOI: 10.1504/IJCSM.2024.139079

International Journal of Computing Science and Mathematics, 2024 Vol.19 No.4, pp.339 - 354

Received: 09 Sep 2023
Accepted: 04 Dec 2023
Published online: 12 Jun 2024 *

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