摘要
根据海上风电场的运维调度实际需求,提出考虑出航时间窗的船只航迹规划与调度问题,建立了以最小化出航成本与延迟成本为目标函数的数学模型。使用多种群遗传算法,对运维任务优先级进行编码并进行求解,同时利用移民算子和精华种群保证求解过程的有效性。案例的仿真模拟结果证明,该算法较常规维护规则可大幅度降低运维成本。
According to the actual needs of the operation and maintenance scheduling of offshore wind farms,the problem of ship trajectory planning and scheduling considering the sailing time window is proposed,and a mathematical model with the objective function of minimizing sailing cost and delay cost as the objective function is established.The multi population genetic algorithm is used to encoding and solving the priority of operation and maintenance tasks,and the immigration operator and elite population are used to guarantee the validity of the solving process.The simulation results of the case show that the algorithm can greatly reduce the operation and maintenance cost compared with the conventional maintenance rules.
作者
唐宏芬
王丽杰
吴春
张真真
曹庆才
TANG Hongfen;WANG Lijie;WU Chun;ZHANG Zhenzhen;CAO Qingcai(China Datang Group Science and Technology Research Institute Co.,Ltd.,Beijing 100052,China)
出处
《电工技术》
2022年第3期145-148,共4页
Electric Engineering
关键词
海上风电场
设备运维
多种群遗传算法
offshore wind farms
operation and maintenance
multiple population genetic algorithm