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Simulation of wind farm operations and maintenance using discrete event system specification

机译:使用离散事件系统规范模拟风电场的运行和维护

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摘要

Wind farms provide a source of clean and renewable energy. However, unlike many industries where machines are operated under more or less static conditions, wind turbines suffer from stochastic loading due to the hourly or seasonal variation of wind speed and direction. The stochastic loading of wind turbines makes their degradation or failure prediction rather complex. This in turn makes the decision-making process of when and what type of maintenance action to undertake very challenging. This paper uses the discrete event system specification (DEVS) to develop a simulation model for wind farm operations and maintenance. The DEVS methodology1 provides a formal modeling and simulation framework based on dynamical systems theory and allows for hierarchical and modular model construction. We report on implementation results based on historical data that provide useful insights into wind farm operations under two different maintenance strategies, scheduled maintenance and condition-based maintenance. The results show that condition-based maintenance enables more wind power generation by reducing wind turbine failure rates and thus increasing wind turbine available.
机译:风电场提供清洁和可再生能源。但是,与许多在不同程度的静态条件下运行机器的行业不同,风力涡轮机由于风速和风向的每小时或季节性变化而遭受随机负载的困扰。风力涡轮机的随机负载使得其退化或故障预测相当复杂。反过来,这使得何时以及采取哪种维护措施的决策过程变得非常具有挑战性。本文使用离散事件系统规范(DEVS)来开发风电场运行和维护的仿真模型。 DEVS方法论1提供了基于动力学系统理论的正式建模和仿真框架,并允许进行分层和模块化的模型构建。我们基于历史数据报告实施结果,这些历史数据可提供有关两种不同维护策略(计划维护和基于状况的维护)下风电场运营的有用见解。结果表明,基于状态的维护可通过降低风力涡轮机的故障率并因此增加风力涡轮机的使用量来实现更多的风力发电。

著录项

  • 来源
    《Simulation》 |2011年第12期|p.1093-1117|共25页
  • 作者单位

    Department of Industrial and Systems Engineering Texas A&M University College Station, Texas, USA;

    Department of Industrial and Systems Engineering Texas A&M University College Station, Texas, USA;

    Department of Industrial and Systems Engineering Texas A&M University College Station, Texas, USA;

    Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX 77843, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    DEVS; renewable energy; wind turbine; scheduled maintenance; condition-based maintenance;

    机译:DEVS;再生能源;风力发电机定期维修;基于状态的维护;
  • 入库时间 2022-08-18 02:50:37

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