DocumentCode :
2369528
Title :
Low-order black-box models for control system design in large power systems
Author :
Kamwa, I. ; Trudel, G. ; Gerin-Lajoie, L.
Author_Institution :
Inst. de Recherche d´´Hydro-Quebec, IREQ, Varennes, Que., Canada
fYear :
1995
fDate :
7-12 May 1995
Firstpage :
190
Lastpage :
198
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 1100 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
Keywords :
MIMO systems; control system synthesis; damping; eigenvalues and eigenfunctions; power system control; power system stability; power system transients; reduced order systems; state estimation; state-space methods; 10th-order equivalent models; DC lines; SVC; control system design; decentralized power system stabilizers; eigensystem realization algorithm; large power systems; local modes damping; low-energy pulses; low-order black-box models; low-order state-space models; minimal realisation; multi-input multi-output procedures; pulse length; pulse magnitude; random signals; random-signal probing; series compensation; slow inter-area modes damping; subspace identification methods; transient stability program; Control system synthesis; MIMO; Open loop systems; Power system measurements; Power system modeling; Power system simulation; Power system stability; Power system transients; Pulse power systems; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Industry Computer Application Conference, 1995. Conference Proceedings., 1995 IEEE
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-2663-6
Type :
conf
DOI :
10.1109/PICA.1995.515183
Filename :
515183
Link To Document :
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