Low-order black-box models for control system design in large power systems
- IREQ, Varennes, Quebec (Canada). Inst. de Recherche d`Hydro-Quebec
- Hydro-Quebec, Montreal, Quebec (Canada)
The paper studies two multi-input multi-output (MIMO) procedures for the identification of low-order state-space models of power systems, by probing the network in open loop with low-energy pulses or random signals. Although such data may result from actual measurements, the development assumes simulated responses from a transient stability program, hence benefiting from the existing large base of stability models. While pulse data is processed using the eigensystem realization algorithm, the analysis of random responses is done by means of subspace identification methods. On a prototype Hydro-Quebec power system, including SVCs, DC lines, series compensation, and more than 1,100 buses, it is verified that the two approaches are equivalent only when strict requirements are imposed on the pulse length and magnitude. The 10th-order equivalent models derived by random-signal probing allow for effective tuning of decentralized power system stabilizers (PSSs) able to damp both local and very slow inter-area modes.
- OSTI ID:
- 244759
- Report Number(s):
- CONF-950525-; ISSN 0885-8950; TRN: IM9627%%81
- Journal Information:
- IEEE Transactions on Power Systems, Vol. 11, Issue 1; Conference: IEEE power industry computer applications conference, Salt Lake City, UT (United States), 7-12 May 1995; Other Information: PBD: Feb 1996
- Country of Publication:
- United States
- Language:
- English
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