海上风电场运维船配备优化方法

海上风电场运维船配备优化是以运维船类型和数量为目标的多目标优化问题。设置近远海风电场和海上风电故障类型两个判别参数，将多目标数学模型简化为包含两个函数变量的单目标模型。海上风电场每月运维工作量函数变量采用反向传播(Back Propagation, BP)神经网络方法求解，而作业窗口期函数变量采用建立海上风电场运维船作业窗口期4维图谱的方式完成取值，完成海上风电场运维船配备优化数学模型的运算流程。海上风电场运维船配备优化可提升海上风电场运维管理系统的智能化程度。

Configuration Optimization Method of Operation and Maintenance Vessel for Offshore Wind Power Plant

The configuration optimization of operation and maintenance vessel for offshore wind power plant is a multi-objective optimization problem aiming at the type and number of operation and maintenance vessel. Two discriminant parameters of near-water and distant-water wind power plants and offshore wind power fault types are set, and the multi-objective mathematical model is simplified into a single-objective model with two functional variables. The function variable of monthly operation and maintenance workload of offshore wind power plant is solved with Back Propagation (BP) neural network method, and the function variable of operation window period is evaluated by establishing the 4-dimensional graph of operation window period of operation and maintenance vessel for offshore wind power plant, which completes the mathematical model calculation flow of configuration optimization of operation and maintenance vessel for offshore wind power plant. The configuration optimization of operation and maintenance vessel for offshore wind power plant can improve the intelligence of operation and maintenance management system for offshore wind power plant.