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State-space system identification-toward MIMO models for modal analysis and optimization of bulk power systems

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2 Author(s)
Kamwa, I. ; Inst. de Recherche, Hydro-Quebec, Varennes, Que., Canada ; Gerin-Lajoie, L.

This paper provides an introduction to a reduced-order, small-signal identification approach to modal analysis and control of large power systems. Being based on system-wide responses to low-energy pulse excitations generated using conventional time-domain simulation software such as PSS/E or EMTSP, it readily takes full advantage of the large built-in model database. The proposed multi-input-multi-output (MIMO) minimal realization reveals naturally the dominant modes attached specifically to a given device, as well as the transfer functions relating selected measurement and observation sites. It plays a complementary role to direct computation of the full-scale linearized model using a comprehensive program such as MASS, after a summary of the theoretical work initiated at Hydro-Quebec in the early 1990s to promote this approach and put it into routine use, we present the main challenges in developing a production grade computer code. Detailed examples inspired by actual network studies at Hydro-Quebec are discussed, the most complex of them involving the identification of a 125th order MIMO model with 26 inputs and 26 outputs

Published in:

Power Systems, IEEE Transactions on  (Volume:15 ,  Issue: 1 )

Date of Publication:

Feb 2000

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