Proceedings of 1994 33rd IEEE Conference on Decision and Control
DOI: 10.1109/cdc.1994.411579
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Closed-loop identification and tuning for damping of interarea modes

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Cited by 4 publications
(2 citation statements)
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“…1) Thus, the optimal state-feedback control law is given by (10) where and is the unique symmetric positive semidefinite solution of the algebraic Riccati equation (ARE) (11) subject to being stabilizable, , , and has no unobservable modes on the imaginary axis [19]. 2) For practical implementation measuring all the states of the plant is infeasible, thus, an estimator (Kalman filter) is employed to provide the required estimates.…”
Section: Lqg/ltr Design Preliminariesmentioning
confidence: 99%
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“…1) Thus, the optimal state-feedback control law is given by (10) where and is the unique symmetric positive semidefinite solution of the algebraic Riccati equation (ARE) (11) subject to being stabilizable, , , and has no unobservable modes on the imaginary axis [19]. 2) For practical implementation measuring all the states of the plant is infeasible, thus, an estimator (Kalman filter) is employed to provide the required estimates.…”
Section: Lqg/ltr Design Preliminariesmentioning
confidence: 99%
“…methods received increased attention in power systems [6]- [10], however, issues with weighting function selection make the whole design procedure difficult. Linear quadratic Gaussian (LQG) control approaches using different FACTS devices have been presented for closed-loop identification in [11], [12], and power system stabilizer (PSS) for small systems in [13]. Recently, [14] presented work on a power system network with a TCSC device which partially relates to this brief, however, it is only applied to a rather small single-input, singleoutput (SISO) system and addresses the loop transfer recovery (LTR) problem from a simulation point of view.…”
mentioning
confidence: 99%