• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Smart Grid, IEEE Transactions on >A Novel Dominant Mode Estimation Method for Analyzing Inter-Area Oscillation in China Southern Power Grid
【24h】

A Novel Dominant Mode Estimation Method for Analyzing Inter-Area Oscillation in China Southern Power Grid

机译：南方电网区域间振荡分析的一种主导模式估计新方法

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

This paper proposes a new approach to estimate dominant mode for monitoring inter-area oscillation in the China Southern power grid (CSG) by the use of phasor measurement units (PMUs) under both ringdown and ambient conditions. The state space model is identified by the data driven stochastic subspace identification (Data-SSI) algorithm. The canonical variate algorithm is used first to construct the weighted projection matrix of the Data-SSI. Then, the criterion for model order selection is developed to estimate the model order, and the linear model of power system is built with Data-SSI. The dominant oscillation modes are calculated by eigenvalue analysis. To accurately identify the dominant modes, repetitive results are calculated with model order variation, and then clustering analysis and stepwise refinement are applied to discriminating the dominant modes from trivial ones to improve the estimation accuracy. Field-measurement data collected by PMUs in CSG is used to validate the proposed algorithm. The comparison between existing mode estimation techniques and the proposed approach demonstrates its accuracy and robustness under both ringdown and ambient conditions.
机译：本文提出了一种新方法，通过在振铃和环境条件下使用相量测量单元（PMU）来估计用于监测南方电网（CSG）区域间振荡的主导模式。状态空间模型由数据驱动的随机子空间标识（Data-SSI）算法标识。首先使用规范变量算法来构造Data-SSI的加权投影矩阵。然后，开发了用于模型顺序选择的标准来估计模型顺序，并使用Data-SSI建立电力系统的线性模型。主振荡模式通过特征值分析来计算。为了准确地识别主导模式，使用模型顺序变化来计算重复结果，然后进行聚类分析和逐步细化以将主导模式与琐碎模式区分开来，以提高估计精度。 CSG中PMU收集的现场测量数据用于验证该算法。现有模式估计技术与提出的方法之间的比较证明了在振铃和环境条件下其准确性和鲁棒性。

著录项

  • 来源
    《Smart Grid, IEEE Transactions on》 |2016年第5期|2549-2560|共12页
  • 作者

    Tao Jiang; Yunfei Mu; Hongjie Jia; Ning Lu; Haoyu Yuan; Jiahong Yan; Weifeng Li;

  • 作者单位

    Department of Electrical Engineering, Northeast Dianli University, Jilin, China;

    Key Laboratory of Smart Grid of the Ministry of Education, Tianjin University, Tianjin, China;

    Key Laboratory of Smart Grid of the Ministry of Education, Tianjin University, Tianjin, China;

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA;

    Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN, USA;

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA;

    Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Oscillators; Estimation; Phasor measurement units; Power system stability; Data models; Stochastic processes;

    机译：振荡器;估计;相量测量单元;电力系统稳定性;数据模型;随机过程;

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