Offshore booster station site selection based on an immune optimisation algorithm
by Zhen Wang; Yukuan Wang; Fangyi Zong; Xiangdong Yan; Wende Ke; Lei Kou; Zhen Yu; Junhe Wan; Fangfang Zhang; Guohua Sun; Zhiqiang Hu
International Journal of Computing Science and Mathematics (IJCSM), Vol. 19, No. 4, 2024

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.

Online publication date: Wed, 12-Jun-2024

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