Abstract: With the promotion of carbon peak and carbon neutrality strategy, offshore wind power is developing towards deep waters, facing server challenges of strong winds and waves. Traditional personnel transportation methods have significant safety hazards in harsh sea conditions, seriously restricting the high-quality development of project construction. It is therefore necessary to explore new methods for offshore resource support under complex sea conditions. Based on the fractal characteristics of waves, a fractal-wave compensation adaptive algorithm is proposed by combining with the active wave compensation and adaptive principles. An adaptive compensation trestle model is then established on the basis of this algorithm. The adaptive operation and maintenance ship is transformed through the installation of adaptive compensation trestles. Compared with the traditional operation and maintenance ship, the adaptive operation and maintenance ship transformed from an offshore wind power maintenance ship in the South China Sea can effectively solve the safety issues of personnel boarding. At the same time, the utilization rate of the sea window is increased by 3.5 times, the efficiency of the transfer personnel is increased by 3.3 times, and the comprehensive economic benefit is increased by 10.3%. The adaptive operation and maintenance ships have significant advantages in operations under complex sea conditions. It can provide resource support for subsequent deep-sea offshore wind power projects.

Key words: offshore wind power, fractal-wave compensation, adaptive algorithm, reinforcement learning, operation and maintenance vessel, trestle retrofit

摘要： 随着我国“双碳”战略的推进,海上风电向深远海方向发展过程中,将面临强风大浪的严峻挑战。传统人员接送方式在恶劣海况下,存在较大安全隐患,严重制约项目建设的高质量发展,因此有必要探索复杂海况下的海上资源保障新方法。该文利用波浪的分形特性,结合主动波浪补偿和自适应原理,提出了分形-波浪补偿自适应算法,并据此建立自适应补偿栈桥模型;通过加装自适应补偿栈桥,实现自适应运维船改造。以南海某海上风电场运营为例,相比于传统运维船,改造后的自适应运维船可有效解决人员登乘的安全问题;同时,海况窗口利用率提升3.5倍,接送人员效率提升3.3倍,综合经济效益提升10.3%。自适应运维船在复杂海况下作业具有重大优势,可为后续深远海海上风电项目提供资源保障。

关键词: 海上风电, 分形-波浪补偿, 自适应算法, 强化学习, 运维船, 栈桥改造