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计及可达时间窗的远岸风场运维路线优化策略

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通过构建风浪预测模型求解风电机组可运维时间窗,作为调度优化的时间约束.为最小化运维成本,考虑运维过程中服务母船(SOV)与船员转运子船(CTV)之间的运维调度问题.将不同技术人员划分为几个独立的运维班组,以运维班组技术水平、待运维风电机组故障类型、动态运维时间窗口、运维班组可连续作业时长和运维时间窗为约束条件,构建SOV-CTV运维路线优化模型.以30台待运维风电机组为仿真案例对该模型的有效性进行测试,结果表明,提出的模型可有效缩短运维总路径长度和降低运维成本,提高了运维班组的运维效率.
Operation and Maintenance Route Optimization Strategy for Far-Shore Wind Farms Taking into Account Reachable Time Windows
A wind and wave prediction model is constructed to solve the time window of wind turbine group's(WTG's)availability for operation and maintenance(O&M),which is used as a time constraint for scheduling optimization.In order to minimize the O&M cost,the O&M scheduling problem between the service operation vessel(SOV)and the crew transfer vessel(CTV)is considered in the O&M process.Different technicians are divided into several independent O&M crews,and the SOV-CTV O&M route optimization model is constructed with the constraints of the O&M crew's technical level,the types of WTG faults to be O&M,the dynamic O&M time window,the O&M crew's continuous operating hours,and the O&M time window.Tested with 30 WTGs to be O&M as simulation cases,the results show that the proposed model can effectively reduce the total O&M path length and O&M cost,and improve the O&M efficiency of the O&M team.

service operation vessel-crew transfer vessel(SOV-CTV)collaborative operation and maintenance scheduleoperational maintenance time windowoperation and maintenance route optimization model

陈慧敏、窦培林、孔令海、王震、徐龙堂、李明昊

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江苏科技大学船舶与海洋工程学院,江苏镇江 212100

武汉理工大学交通与物流工程学院,武汉 430063

招商局重工(江苏)有限公司,江苏南通 226100

SOV-CTV协同运维调度 可运维时间窗 运维路线优化模型

2022年度江苏省工业和信息产业转型升级专项资金-关键核心技术(装备)攻关产业化项目

CMHI-2022-RDG-004

2024

10.13788/j.cnki.cbgc.2024.08.20

船舶工程
中国造船工程学会

船舶工程

CSTPCD北大核心
影响因子：0.406
ISSN：1000-6982
年,卷(期)：2024.46(8)