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Difference between revisions of "Power system examples"

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Revision as of 10:52, 25 April 2013


1 Description

These first order systems are given in generalized state space form


E\dot{x}(t)=A x(t)+B u(t), \quad
y(t)=Cx(t)+Du(t).\qquad (1)

and originated at CEPEL for simulating large power systems.

They come in different sizes and variants, including both SISO and MIMO systems having regular or singular E matrices. In the latter case the DAEs are of index 1 and using simple row and column permutations, E,A can be brought into the form


E=\left[ \begin{array}{cc}I_{n_f}&0\\0&0\end{array}\right],\quad A=\left[ \begin{array}{cc}A_{11}&A_{12}\\A_{21}&A_{22}\end{array}\right],

where n_f denotes the number of finite eigenvalues in \Lambda(A,E) and A_{22}\in\mathbb{R}^{n-n_f\times n-n_f} is regular. A complete overview over these systems can be found in table below. The power system served as benchmark examples for Dominant Pole based Modal Truncation[1][2][3][4][5] and for a special adaption[6] of Balanced Truncation for the DAE systems.


2 Data

3 References

<references> [1]

[2]

[3]

[4]

[6]

[5] </ references>

4 Contact

Joost Rommes User:kuerschner

  1. 1.0 1.1 N. Martins, L. Lima, and H. Pinto, "Computing dominant poles of power system transfer functions", IEEE Transactions on Power Systems, vol.11, no.1, pp.162-170, 1996
  2. 2.0 2.1 J. Rommes and N. Martins, "Efficient computation of transfer function dominant poles using subspace acceleration", IEEE Transactions on Power Systems, vol.21, no.3, pp.1218-1226, 2006
  3. 3.0 3.1 J. Rommes and N. Martins, "Efficient computation of multivariable transfer function dominant poles using subspace acceleration", IEEE Transactions on Power Systems, vol.21, no.4, pp.1471-1483, 2006
  4. 4.0 4.1 J. Rommes, "Methods for eigenvalue problems with applications in model order reduction", Ph.D. dissertation, Universiteit Utrecht, 2007.
  5. 5.0 5.1 P. Kürschner, "Two-sided eigenvalue methods for modal approximation”, Master’s thesis, Chemnitz University of Technology, Department of Mathematics, Germany, 2010.
  6. 6.0 6.1 F. Freitas, J. Rommes, and N. Martins, "Gramian-based reduction method applied to large sparse power system descriptor models." IEEE Transactions on Power Systems, vol. 23, no. 3, pp. 1258-1270, 2008.