基于轨迹特征根的系统暂态稳定判断与扰动类型筛选方法
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  • 英文篇名:Judgment of System Transient Stability and Disturbance Type Screening Method Based on Trajectory Eigenvalue
  • 作者:袁优 ; 康积涛 ; 王德林 ; 潘志豪 ; 李峰 ; 赵亚鑫
  • 英文作者:YUAN You;KANG Jitao;WANG Delin;PAN Zhihao;LI Feng;ZHAO Yaxin;School of Electrical Engineering, Southwest Jiaotong University;Shaoxing Electric Power Bureau;Inner Mongolia Baotou Electric Power Bureau;
  • 关键词:高阶系统 ; 暂态稳定 ; 轨迹特征根 ; 扰动类型筛选 ; 波动方差
  • 英文关键词:higher order system;;transient stability;;trajectory eigenvalue;;disturbance type screening;;fluctuation variance
  • 中文刊名:DWJS
  • 英文刊名:Power System Technology
  • 机构:西南交通大学电气工程学院;国网浙江绍兴供电公司;国网内蒙古包头供电公司;
  • 出版日期:2018-07-02 14:01
  • 出版单位:电网技术
  • 年:2018
  • 期:v.42;No.419
  • 基金:国家自然科学基金资助项目(51477143)~~
  • 语种:中文;
  • 页:DWJS201810030
  • 页数:9
  • CN:10
  • ISSN:11-2410/TM
  • 分类号:257-265
摘要
为了解决系统暂态稳定性判断的准确性以及扰动类型筛选的快速性问题,提出了一种基于轨迹特征根数据的暂态稳定性筛选方法。该方法建立了高阶系统的线性化模型,该模型考虑励磁和调速系统等主要元件对线性化模型的影响。励磁系统和调速系统模型利用拉普拉斯逆变换实现在非平衡点处的线性化处理。接着,提出一种基于扰动后轨迹特征根波动方差的扰动类型识别方法,该方法引用方差对扰动后的轨迹特征根数据计算振荡和离散程度,并以此量化指标,根据波动方差值识别扰动类型。最后通过算例,验证了文中设置的扰动类型与识别的结果基本一致。
        To solve accuracy problem for determining transient stability and quickness of disturbance type screening, this paper proposes a method to judge system transient stability based on trajectory eigenvalue data. Firstly, the linearization model of the higher-order system is established, and influence of main components, such as excitation system and speed governing system, in the linearization model is considered. A linearized processing method about the excitation system and speed governing system models at non-equilibrium point is realized with Laplace inverse transform. A method to distinguish disturbance method based on variance of the trajectory eigenvalues after disturbance is also presented. The method computes quantitatively oscillation and dispersion degree according to trajectory eigenvalue data after disturbance using fluctuating variance. Then, using this quantitative index, the disturbance type is identified with magnitude of fluctuating variance. Finally, consistency between the disturbance type and identification results and correctness are validated with a simulation case.
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