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Title: Low-order black-box models for control system design in large power systems

Abstract

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.

Authors:
 [1]; ;  [2]
  1. IREQ, Varennes, Quebec (Canada). Inst. de Recherche d`Hydro-Quebec
  2. Hydro-Quebec, Montreal, Quebec (Canada)
Publication Date:
OSTI Identifier:
244759
Report Number(s):
CONF-950525-
Journal ID: ITPSEG; ISSN 0885-8950; TRN: IM9627%%81
Resource Type:
Journal Article
Resource Relation:
Journal Name: IEEE Transactions on Power Systems; Journal Volume: 11; Journal 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
Subject:
24 POWER TRANSMISSION AND DISTRIBUTION; POWER SYSTEMS; COMPUTERIZED SIMULATION; CONTROL SYSTEMS; DESIGN; VAR CONTROL SYSTEMS; DC SYSTEMS

Citation Formats

Kamwa, I., Trudel, G., and Gerin-Lajoie, L. Low-order black-box models for control system design in large power systems. United States: N. p., 1996. Web. doi:10.1109/59.486110.
Kamwa, I., Trudel, G., & Gerin-Lajoie, L. Low-order black-box models for control system design in large power systems. United States. doi:10.1109/59.486110.
Kamwa, I., Trudel, G., and Gerin-Lajoie, L. Thu . "Low-order black-box models for control system design in large power systems". United States. doi:10.1109/59.486110.
@article{osti_244759,
title = {Low-order black-box models for control system design in large power systems},
author = {Kamwa, I. and Trudel, G. and Gerin-Lajoie, L.},
abstractNote = {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.},
doi = {10.1109/59.486110},
journal = {IEEE Transactions on Power Systems},
number = 1,
volume = 11,
place = {United States},
year = {Thu Feb 01 00:00:00 EST 1996},
month = {Thu Feb 01 00:00:00 EST 1996}
}