• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Symposium on Circuits and Systems >Dynamic State Estimation for DFIG Wind Turbine with Stochastic Wind Speed in Power System
【24h】

Dynamic State Estimation for DFIG Wind Turbine with Stochastic Wind Speed in Power System

机译：电力系统中具有随机风速的双馈风力发电机组的动态状态估计

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

摘要

The reliable operation of doubly-fed induction generator (DFIG) wind turbine (WT) systems rely on the accurate information of states. However, due to the unavailability of some states from phasor measurement units (PMUs), dynamic state estimation (DSE) for DFIG-WT connecting to the power system becomes essential. Although various DSEs have been applied, the variable stochastic wind speed was excluded into consideration, leading to the inaccurate estimation results. This paper develops the DSE using centralized Kalman filter (CKF) for DFIG-WT under the stochastic wind speed. The wind speed is modeled by stochastic differential equations (SDE), which can generate the trajectories with statistical properties similar to the wind speed historical data available for a particular location, so that the variable wind speed can be applied to the filtering process. Finally, the system involving a DFIG connected to a standard IEEE 14-bus system is utilized to verify the feasibility of the proposed method with the occurrence of electric faults.
机译：双馈感应发电机（DFIG）风力涡轮机（WT）系统的可靠运行取决于状态的准确信息。但是，由于相量测量单元（PMU）的某些状态不可用，因此DFIG-WT连接到电力系统的动态状态估计（DSE）变得至关重要。尽管已应用了各种DSE，但未考虑可变随机风速，导致估算结果不准确。本文在风速随机的情况下，使用集中式卡尔曼滤波器（CKF）为DFIG-WT开发了DSE。风速通过随机微分方程（SDE）建模，该方程可以生成具有统计特性的轨迹，类似于可用于特定位置的风速历史数据，因此可以将可变风速应用于滤波过程。最后，利用包含连接到标准IEEE 14总线系统的DFIG的系统来验证所提出的方法在发生电气故障时的可行性。

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