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Method for computing efficient electrical indicators for offshore wind turbine monitoring

机译:用于海上风力涡轮机监测的有效电指标的计算方法

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摘要

The availability of offshore wind turbines is an important issue if such wind farms are to be considered a reliable source of renewable energy for the future. Environmental conditions and the low accessibility of such wind farms have contributed to a decrease in the availability of these wind turbines, compared to onshore ones. In order to improve reliability, condition monitoring systems and the implementation of scheduled maintenance strategies are a must for offshore power plants. This paper proposes a method for computing efficient electrical indicators using the available three-phase electrical quantities. These indicators are then to be used to obtain fault indicators for fault detection and diagnosis. The electrical indicators are obtained by using instantaneous symmetrical component decomposition, a well-proven method in the design and diagnosis of power networks. The new quantities are able to fully describe the whole electrical system and provide an effective means to quantify the balance and unbalance in the system. The method uses the electrical three-phase quantities measured at the output of the generator in a wind turbine to obtain the indicators. The performance of this method is illustrated using both synthetic and experimental data.
机译:如果想将此类风电场视为未来可靠的可再生能源,那么海上风力涡轮机的可用性是一个重要的问题。与陆上风力涡轮机相比,环境条件和此类风力发电场的通行性差导致了这些风力涡轮机的可用性下降。为了提高可靠性,海上电站必须要有状态监视系统和定期维护策略的实施。本文提出了一种使用可用三相电量来计算有效电气指标的方法。然后,这些指标将用于获取故障指标,以进行故障检测和诊断。电气指标是通过瞬时对称分量分解获得的,瞬时对称分量分解是电力网络设计和诊断中一种行之有效的方法。新的数量能够完全描述整个电气系统,并提供一种有效的方法来量化系统中的平衡和不平衡。该方法使用在风力涡轮机中发电机输出处测得的三相电气量来获取指标。使用合成和实验数据说明了该方法的性能。

著录项

  • 来源
    《Insight》 |2014年第8期|443-448|共6页
  • 作者

    G Cablea; P Granjon; C Berenguer;

  • 作者单位

    Gipsa-lab, Grenoble University, France;

    Gipsa-lab, Grenoble University, France;

    Gipsa-lab, Grenoble University, France;

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

  • 入库时间 2022-08-17 13:34:45

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