• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE/IAS Industrial and Commercial Power Systems Technical Conference >The Design of a Holistic IoT-Based Monitoring System for a Wind Turbine
【24h】

The Design of a Holistic IoT-Based Monitoring System for a Wind Turbine

机译：一种用于风力涡轮机的全基于物联网监控系统的设计

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

As one of the most promising renewable energy resources, a large amount of wind energy has been implemented all around the world since 1990s. Increasing the size of the wind turbines and the harsh operating environment lead to higher failure rates on the wind turbines compared with other renewable resources. As the result, not only unplanned maintenance and repairments but also downtime of the wind turbine increases the operation cost significantly. In addition, the long-distance transmission lines are required to transfer the wind generation power to the load centers due to the remote operation location of the wind farms. To improve the power transfer capability, series compensated lines are adopted in many cases. However, subsynchronous control interactions (SSCI) could happen between series compensated transmission lines and wind turbines. This may damage wind turbine components severely and cause stability issues in the power grids. Currently, various condition monitoring systems have been developed and applied for wind turbines. Different SSCI detection mechanisms are also proposed in many studies. This paper proposes an FPGA-CPU based holistic monitoring system which not only provides both condition and SSCI monitoring functions simultaneously in real-time but also records necessary data for post-event analysis.
机译：作为最有前途的可再生能源资源之一，自20世纪90年代以来世界各地都在全球范围内实施了大量的风能。与其他可再生资源相比，增加风力涡轮机和苛刻操作环境的尺寸导致风力涡轮机的失效率更高。结果，不仅有计划的维护和维修，而且还增加了风力涡轮机的停机时间显着增加了运营成本。另外，由于风电场的遥控器位置，需要长距离传输线来将风发电转移到负载中心。为了提高电力传输能力，许多情况下采用了串联补偿线。然而，可以在串联补偿传输线和风力涡轮机之间发生次同步控制相互作用（SSCI）。这可能会严重损坏风力涡轮机组件并导致电网中的稳定性问题。目前，已经开发了各种状态监测系统并施加了风力涡轮机。许多研究也提出了不同的SSCI检测机制。本文提出了一种基于FPGA-CPU的整体监测系统，其不仅可以在实时提供条件和SSCI监测功能，而且还记录了事件后分析的必要数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号