Multimachine eigenvalue sensitivities of power system parameters

Summary form only given as follows. Many publications have discussed the design/tuning of a controller (e.g. PSS) to increase system damping, but the effect of general system parameter appears to be ignored. This paper enables these effects to be accurately assessed by the first and second order eigenvalue sensitivities with respect to any arbitrary system operating parameter (e.g. nodal injection, PV-voltage) or power network parameter (line impedance or transformer tap etc). Based on a highly versatile multimachine modeling technique that any practical system components (such as generators, SVC, series compensator etc.) can be incorporated, the system matrix A can be expressed as a function of each system parameter of a multimachine system. The sensitivity approach is applied on an 8-machine system to discuss the system parameter effects and to take account of the range of operating condition in terms of multi-load levels by probabilistic approach.

[1]  S. K. Tso,et al.  Design optimisation of power system stabilisers based on modal and eigenvalue-sensitivity analyses , 1988 .

[2]  G. T. Heydt,et al.  Probabilistic Methods For Power System Dynamic Stability Studies , 1978, IEEE Transactions on Power Apparatus and Systems.

[3]  S. L. Ho,et al.  Effective loadflow technique with non-constant MVA load for the Hong Kong Mass Transit Railway urban lines power distribution system , 1997 .

[4]  R.T.H. Alden,et al.  Eigenvalue sensitivities of power systems including network and shaft dynamics , 1976, IEEE Transactions on Power Apparatus and Systems.

[5]  F. L. Pagola,et al.  On sensitivities, residues and participations , 1989 .

[6]  H. F. Wang,et al.  Indices for selecting the best location of PSSs or FACTS-based stabilisers in multimachine power systems: a comparative study , 1997 .

[7]  A. K. David,et al.  Machine and load modeling in large scale power industries , 1998, IEEE Industry Applications on Dynamic Modeling Control Applications for Industry Workshop.

[8]  K. M. Tsang,et al.  Optimum location of power system stabilizers based on probabilistic analysis , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[9]  R.T.H. Alden,et al.  Second order eigenvalue sensitivities applied to power system dynamics , 1977, IEEE Transactions on Power Apparatus and Systems.

[10]  K. M. Tsang,et al.  Algorithm for power system dynamic stability studies taking account the variation of load power , 1997 .

[11]  F. L. Pagola,et al.  On Sensitivities, Residues and Participations. Applications to Oscillatory Stability Analysis and Control , 1989, IEEE Power Engineering Review.