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Joint external and internal opportunistic optimisation for wind turbine considering wind velocity

机译:考虑风速的风力涡轮机联合外部和内部机会优化

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摘要

Wind farms are subject to unavoidable energy-production stoppage periods because of the stochastic behaviour of wind velocity; however, these periods provide additional opportunities for maintenance activities. In this research, we investigated a novel joint opportunistic maintenance strategy for wind turbines considering the stochastic wind velocity. Our strategy entailed considering two types of opportunities, namely, internal opportunities provided by the general degradation of wind turbines, and external opportunities generated by the weak wind-speed periods. An expected cost-rate model was formulated by utilising the semi-regenerative process theory based on all possible maintenance scenarios. In this model, all the maintenance activities at each decision point were determined in accordance with the maintenance requirement that is dictated by the state of deterioration of the wind turbines. Furthermore, a stationary probability density function was developed by derivation of the stationary law of the wind turbine condition, influenced by opportunistic maintenance. The maintenance activities and their corresponding probabilities were all derived on this basis. Finally, the applicability and correctness of the proposed approach were demonstrated by a case study and sensitivity analysis. The results of our study indicated that the maintenance policy we proposed could be of economic benefit to wind farms. (c) 2020 Elsevier Ltd. All rights reserved.
机译:由于风速的随机行为,风电场受到不可避免的能源生产停止期间;但是,这些时期为维护活动提供了额外的机会。在这项研究中,考虑到随机风速的风力涡轮机进行了一种新颖的联合机会维护策略。我们的战略需要考虑两种类型的机会,即由风力涡轮机的一般退化提供的内部机会,以及由弱风速期产生的外部机会。通过基于所有可能的维护方案利用半再生过程理论,制定了预期成本率模型。在该模型中,每个决定点的所有维护活动都根据由风力涡轮机的劣化状态决定的维护要求确定。此外,通过机会维护的风力涡轮机状态的静止规律推导出静止概率密度函数。维护活动及其相应的概率均得到此基础。最后,通过案例研究和敏感性分析证明了所提出的方法的适用性和正确性。我们研究的结果表明,我们提出的维护政策可能对风电场的经济利益有所效益。 (c)2020 elestvier有限公司保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2020年第10期|380-398|共19页
  • 作者单位

    Taiyuan Univ Sci & Technol Div Ind & Syst Engn 66 WaLiu Rd Taiyuan 030024 Shanxi Peoples R China;

    Taiyuan Univ Sci & Technol Div Ind & Syst Engn 66 WaLiu Rd Taiyuan 030024 Shanxi Peoples R China|Taiyuan Univ Sci & Technol Sch Econ & Management Taiyuan 030024 Peoples R China|Res Ctr Innovat & Dev Equipment Mfg Ind Key Res Bases Humanities & Social Sci Shanxi Taiyuan 030024 Peoples R China;

    Taiyuan Univ Sci & Technol Div Ind & Syst Engn 66 WaLiu Rd Taiyuan 030024 Shanxi Peoples R China|North Univ China Inst Big Data & Visual Comp Taiyuan 030051 Peoples R China;

    Taiyuan Univ Sci & Technol Div Ind & Syst Engn 66 WaLiu Rd Taiyuan 030024 Shanxi Peoples R China;

  • 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

    Wind turbine; Stochastic wind velocity; Joint opportunistic optimisation; Condition monitoring; Stationary probability density function;

    机译:风力涡轮机;随机风速;联合机会化优化;条件监测;静止概率密度函数;

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