• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electric power systems research >Identification of synchronous generator model with frequency control using unscented Kalman filter
【24h】

Identification of synchronous generator model with frequency control using unscented Kalman filter

机译：使用无味卡尔曼滤波器的带频率控制的同步发电机模型辨识

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, phasor measurement unit (PMU) data-based synchronous generator model identification is carried out using unscented Kalman filter (UKF). The identification not only gives the model of a synchronous generator's swing dynamics, but also gives its turbine-governor model along with the primary and secondary frequency control block models. PMU measurements of active power and voltage magnitude, are treated as the inputs to the system while the measurements of voltage phasor angle, reactive power and frequency are treated as the outputs. UKF-based estimation is carried out to estimate the dynamic states and the parameters of the model. The estimated model is then built and excited with the injection of the inputs from the PMU measurements. The outputs of the estimation model and the outputs from the PMU measurements are compared. Case studies based on PMU measurements collected from a simulation model and real-world PMU data demonstrate the effectiveness of the proposed estimation scheme. (C) 2015 Elsevier B.V. All rights reserved.
机译：在本文中，使用无味卡尔曼滤波器（UKF）进行了基于相量测量单元（PMU）数据的同步发电机模型辨识。该识别不仅提供了同步发电机的摆动动力学模型，还给出了其涡轮机调速器模型以及一次和二次频率控制模块模型。 PMU的有功功率和电压幅值测量被视为系统的输入，而电压相量角，无功功率和频率的测量则被视为输出。进行基于UKF的估计以估计模型的动态状态和参数。然后建立估计的模型，并通过注入来自PMU测量的输入来激发模型。比较估计模型的输出和PMU测量的输出。基于从仿真模型收集的PMU测量值和实际PMU数据的案例研究证明了所提出的估计方案的有效性。 （C）2015 Elsevier B.V.保留所有权利。

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