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A novel approach for identification and tracing of oscillatory stability and damping ratio margin boundaries.

机译:一种识别和跟踪振荡稳定性和阻尼比裕量边界的新颖方法。

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摘要

This dissertation proposes novel algorithms for power system oscillatory stability assessment. An integration based eigenvalue tracing method is proposed to trace any specified eigenvalue of interest. Also a margin boundary tracing algorithm that can trace not only the oscillatory stability margin boundary, but also damping margin boundary is proposed. The eigenvalues tracing method can trace any eigenvalues of interest. An eigenvalue index is proposed to rank the eigenvalues. This index is helpful for identifying the rate of change of movement and the direction of movement for these eigenvalues with respect to change in any parameter of interest. This approach is used to identify Hopf bifurcation. It is also extended to satisfy minimum damping margin constraints. Eigenvalue and Eigenvector sensitivities are by-products of this approach. This method is faster and more robust than the secant method, especially for large scale systems.; The dissertation discusses the computational advantages of this algorithm in detail, and demonstrates the potential convergence problems with the secant method. Without the proposed margin boundary (both oscillatory and damping) tracing algorithm one has to repeat tracing the P-V curve for changing parameter values to get the oscillatory stability margin boundary and the damping margin boundary. The approach provides the relevant information about the nonlinear characteristics between margin and control parameters, by which one can find not only the control parameter values to maximize the margin, but also the control parameter perturbation tolerance, which can help keep the system more robust.; The eigenvalues tracing and margin boundary tracing methodologies proposed in this thesis will make contribution to future on-line stability assessment tools for large scale power systems.
机译:本文提出了一种新的电力系统振荡稳定性评估算法。提出了一种基于积分的特征值跟踪方法来跟踪任何指定的感兴趣特征值。还提出了一种边界边界跟踪算法,该算法不仅可以跟踪振荡稳定性边界,而且可以跟踪阻尼边界。特征值跟踪方法可以跟踪任何感兴趣的特征值。提出了一个特征值索引来对特征值进行排序。该指数有助于识别这些特征值相对于任何感兴趣参数的变化的运动变化率和运动方向。此方法用于识别Hopf分叉。它也被扩展以满足最小的阻尼裕度约束。特征值和特征向量敏感度是此方法的副产品。这种方法比割线方法更快,更可靠,尤其是对于大型系统。本文详细讨论了该算法的计算优势,并说明了割线方法可能存在的收敛性问题。如果没有建议的裕量边界(振荡和阻尼)跟踪算法,则必须重复跟踪P-V曲线以更改参数值,以获得振荡稳定性裕量边界和阻尼裕量边界。该方法提供了有关裕度和控制参数之间非线性特性的相关信息,通过该信息,不仅可以找到使裕度最大化的控制参数值,而且可以找到控制参数摄动容差,从而有助于使系统更鲁棒。本文提出的特征值跟踪和边界边界跟踪方法将为未来大型电力系统的在线稳定性评估工具做出贡献。

著录项

  • 作者

    Wen, Xiaoyu.;

  • 作者单位

    Iowa State University.;

  • 授予单位 Iowa State University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 98 p.
  • 总页数 98
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

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