首页> 外文会议>ASME turbo expo: turbine technical conference and exposition >IMPROVING DISTURBANCE COMPENSATION IN GAS TURBINES BY INCORPORATING EVENT-TRIGGERED LOGIC SIGNALS FROM SWITCHGEAR
【24h】

IMPROVING DISTURBANCE COMPENSATION IN GAS TURBINES BY INCORPORATING EVENT-TRIGGERED LOGIC SIGNALS FROM SWITCHGEAR

机译:通过引入来自开关设备的事件触发逻辑信号来改善燃气轮机中的扰动补偿

获取原文

摘要

Traditional feedback control schemes perform well when the gas turbine (GT) is operating near steady state operating points. In the case of large and abrupt changes in shaft power demand, for example, a standard feedback controller cannot offer the same performance as a better informed controller with more rapid detection time and lesser measurement delays. This work seeks to improve the quality of the information available for use in feedback control by incorporating event-triggered logic signals from switchgear. In this paper, we consider a GT generating power for a microgrid in island mode operation. We seek to use more immediate, but logic-valued, signals available from switchgear monitoring equipment, such as circuit breakers, to improve transient load demand estimation and thereby control performance. Techniques are developed using ideas familiar from Kalman filtering for rapid acquisition of load estimates during transients, notably faults. The resulting approach yields a time-varying estimator which uses the breaker logic signals to augment the standard feedback signals to improve transient estimator response without a concomitant degradation of steady state response. An example is provided using an identified closed-loop GT model.
机译:当燃气轮机(GT)在稳态工作点附近工作时,传统的反馈控制方案会表现良好。例如,在轴功率需求发生急剧变化的情况下,标准反馈控制器无法提供具有更快检测时间和更短测量延迟的更好通报的控制器性能。这项工作旨在通过结合来自开关设备的事件触发逻辑信号来提高可用于反馈控制的信息的质量。在本文中,我们考虑了在孤岛模式下微电网的GT发电能力。我们力求使用可从开关柜监控设备(例如断路器)获得的更即时的,但具有逻辑值的信号来改善瞬态负载需求估算,从而控制性能。使用卡尔曼滤波熟悉的思想来开发技术,以便在瞬态(尤其是故障)期间快速获取负载估计值。所得方法产生了随时间变化的估计器,该估计器使用断路器逻辑信号来增加标准反馈信号,以改善瞬态估计器响应,而不会导致稳态响应的降低。使用已识别的闭环GT模型提供了一个示例。

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