海上风电场通用运维路径规划模型优化及仿真

Optimization and Simulation of General Operation and Maintenance Path Planning Model for Offshore Wind Farms

海上风电场运维的路径规划是一项极具挑战性和复杂性的任务,需要确定运维所需要的资源、交通工具路径,使得总运维成本最小化。文中在海上风电场运维规划建模方面采用了抽象类的方式,建立了通用性运维路径规划模型框架,该模型有利于兼容不同的海上风电场运维的路径规划与调度决策任务,可提高模型的可扩展性和多场景适用的灵活性。采用改进的自适应大邻域搜索算法(ALNS),提出在含有多个destroy和repair算子的算法基础上,求解基于抽象类的通用运维路径规划模型。选定国内某风电场数据进行仿真实验,通过在ALNS内部对比6个算子求解的结果,以及将ALNS与精确算法结果进行比较,结果显示该算法具有较好的优化效果和可靠性。

The path planning of offshore wind farm operation and maintenance is a challenging and complex task,which needs to determine the resources and transport paths needed by the operation and maintenance,so as to minimize the total operation and maintenance cost.In this paper,the abstract class method is adopted in the modeling of offshore wind farm operation and maintenance planning,and a general operation and maintenance path planning model framework is established.This model is conducive to the compatibility of different offshore wind farm operation and maintenance path planning and scheduling decision-making tasks.improve the scalability of the model and the flexibility of multi-scenario application.In this paper,an improved adaptive large neighborhood search algorithm(ALNS),is proposed to solve the general operation and maintenance path planning model based on abstract class on the basis of the algorithm with multiple destroy and repair operators.Finally,the data of a domestic wind farm is selected for simulation experiment.By comparing the results of six operators within ALNS,and comparing the results of ALNS with the results of accurate algorithm,the results show that the algorithm optimization has better effect and reliability.