Simulation of wind farm operations and maintenance using discrete event system specification
Simulation of wind farm operations and maintenance using discrete event system specification
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使用离散事件系统规范模拟风电场运行和维护
DOI：
10.1177/0037549710376841
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Lewis Ntaimo
中科院分区：
文献类型：
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作者：
E. Byon;Eduardo Pérez;Yu Ding;Lewis Ntaimo
风力发电场提供了一种清洁的可再生能源。然而，与许多机械或多或少在静态条件下运行的行业不同，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荷。风力发电机组的随机载荷使其退化或失效预测变得相当复杂。这反过来又使得何时以及采取何种类型的维护行动的决策过程非常具有挑战性。本文采用离散事件系统规范（DEVS）建立风电场运行与维护的仿真模型。DEVS方法1提供了一个基于动态系统理论的形式化建模和仿真框架，并允许分层和模块化模型构建。我们根据历史数据报告实施结果，为两种不同维护策略（定期维护和基于状态的维护）下的风电场运营提供有用的见解。结果表明，基于状态的维护通过降低风力涡轮机的故障率，从而增加风力涡轮机的可用性，从而使更多的风力发电。
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.