Optimization Design of Marine cable of Wind Farm Bend Restrictor Based on Neural Network

  • ZHONG Kexing ,
  • DING Lesheng ,
  • ZHANG Cong ,
  • MAO Yandong ,
  • CHEN Jinlong
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  • 1. Ningbo Fanye Ocean Technology Co., Ltd., Ningbo 315700, Zhejiang China;
    2. Ningbo Institute of Dalian University of Technology, Ningbo 315700, Zhejiang China;
    3. Ningbo Ruike Ocean Technology Co., Ltd., Ningbo 315700, Zhejiang China

Online published: 2024-05-29

Abstract

China's offshore wind power generation enter the era of affordable grid connection, and all component designs in the industry face the challenge of optimizing design. Bend restrictors are widely used in wind cable protection, and their bending stiffness and Mises peak stress are key indicators in structural design. At present, the optimization design of bend restrictors is mostly based on experience and finite element analysis iteration, which has low efficiency and is difficult to achieve multiobjective optimization. The paper proposes a multi-objective optimization method based on neural networks for the optimization of marine cable of wind farm bend restrictors to address this issue. Firstly, construct an RBF neural network proxy model using samples obtained from orthogonal experimental design and finite element analysis within the given design domain. Furthermore, the non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) is used for multi-objective optimization of the bend restrictor, and the Pareto optimal solution set is obtained. A feasible multi-objective optimization method is provided for the structural design of the bend restrictor.

Cite this article

ZHONG Kexing , DING Lesheng , ZHANG Cong , MAO Yandong , CHEN Jinlong . Optimization Design of Marine cable of Wind Farm Bend Restrictor Based on Neural Network[J]. Ocean Engineering Equipment and Technology, 2024 , 11(1) : 70 -76 . DOI: 10.12087/oeet.2095-7297.2024.01.12

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