...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Online estimation of turbine-generator shaft fatigue loss-of-life caused by subsynchronous resonance
【24h】

Online estimation of turbine-generator shaft fatigue loss-of-life caused by subsynchronous resonance

机译：在线估计由次同步共振引起的汽轮发电机轴疲劳寿命

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In this paper, a novel approach is presented to estimate the fatigue loss-of-life (FLoL) of larger turbine-generators that suffer from subsynchronous resonance (SSR) in series-compensated power systems. The most important contribution of our proposed approach is to estimate the mechanical torques of the turbine-generator shaft in real time with the terminal speed of the shaft and the voltage/current of the generator. With the estimated torques and the manufacturer-provided stress/torque-versus-life or S/T-N curves, FLoL can be obtained online by the well-known rainflow cycle counting technique. This approach is embedded in SSR protective or monitoring system to supervise possible FLoL due to system disturbances. As a case study, it was implemented in the torsional stress relay or TSR for the generator of the Shangdu Power Plant, which was threatened by SSR problem caused by fixed capacitor compensation. The response of the TSR during an actual fault of the studied system was recorded. Electromagnetic simulation was conducted for this specific fault. The torques and FLoL were estimated as well as compared with theoretical values and recorded data. The results showed a very good consistency and thus verified the effectiveness of the proposed approach.
机译：在本文中，提出了一种新颖的方法来估算串联补偿电力系统中遭受次同步共振（SSR）的大型涡轮发电机的疲劳寿命损失（FLoL）。我们提出的方法的最重要的贡献是实时估计涡轮发电机轴的机械转矩，以及轴的终端速度和发电机的电压/电流。利用估算的扭矩和制造商提供的应力/扭矩-寿命曲线或S / T-N曲线，可以通过众所周知的雨流循环计数技术在线获得FLoL。这种方法嵌入到SSR保护或监视系统中，以监视由于系统干扰而可能产生的FLoL。作为案例研究，它在上都电厂发电机的扭应力继电器或TSR中实施，受到固定电容器补偿引起的SSR问题的威胁。记录了所研究系统实际故障期间TSR的响应。针对此特定故障进行了电磁仿真。估算扭矩和FLoL，并将其与理论值和记录的数据进行比较。结果显示出非常好的一致性，从而验证了该方法的有效性。

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