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Constrained non-linear multi-objective optimisation of preventive maintenance scheduling for offshore wind farms

机译:海上风电场预防性维修计划的约束非线性多目标优化

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摘要

Offshore wind farm is an emerging source of renewable energy, which has been shown to have tremendous potential in recent years. In this blooming area, a key challenge is that the preventive maintenance of offshore turbines should be scheduled reasonably to satisfy the power supply without failure. In this direction, two significant goals should be considered simultaneously as a trade-off. One is to maximise the system reliability and the other is to minimise the maintenance related cost. Thus, a non-linear multi-objective programming model is proposed including two newly defined objectives with thirteen families of constraints suitable for the preventive maintenance of offshore wind farms. In order to solve our model effectively, the nondominated sorting genetic algorithm II, especially for the multi-objective optimisation is utilised and Pareto-optimal solutions of schedules can be obtained to offer adequate support to decision-makers. Finally, an example is given to illustrate the performances of the devised model and algorithm, and explore the relationships of the two targets with the help of a contrast model.
机译:海上风电场是可再生能源的新兴来源,近年来已显示出巨大的潜力。在这个繁华地带,关键挑战在于,应合理安排海上风机的预防性维护,以确保电力供应无故障。在这个方向上,应该同时考虑两个重要目标。一种是使系统可靠性最大化,另一种是使维护相关成本最小化。因此,提出了一种非线性多目标规划模型,该模型包括两个新定义的目标,这些目标具有十三类约束,适用于海上风电场的预防性维护。为了有效地求解模型,利用了非支配排序遗传算法Ⅱ,特别是针对多目标优化的遗传算法,可以得到调度的帕累托最优解,为决策者提供充分的支持。最后,给出一个例子来说明所设计的模型和算法的性能,并在对比模型的帮助下探索两个目标之间的关系。

著录项

  • 来源
    《Mechanical systems and signal processing》 |2018年第may1期|347-369|共23页
  • 作者单位

    The Logistics Institute-Asia Pacific, National University of Singapore, Singapore,Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Department of Management Science and Engineering, Shanghai University, Shanghai China;

    Department of Econometrics and Business Statistics, Monash University, Victoria, Australia,Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom,Department of Management Science and Engineering, Shanghai University, Shanghai China;

    Institute for Risk and Uncertainty, University of Liverpool, Liverpool, United Kingdom,Institute for Risk and Reliability, Leibniz Universitat Hannover, Hannover, Germany,School of Civil Engineering & Shanghai Institute of Disaster Prevention and Relief, Tongji University, China;

    Department of Management Science and Engineering, Shanghai University, Shanghai China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Reliability; Maintenance; Scheduling; Cost parameters; Offshore wind farms; Multi-objective Programming;

    机译:可靠性;保养;排程;成本参数;海上风电场;多目标程序设计;

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