IEEE Power Engineering Society. 1999 Winter Meeting (Cat. No.99CH36233) 1999
DOI: 10.1109/pesw.1999.747508
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A robust damping controller for power systems using linear matrix inequalities

Abstract: This paper presents the application of a linear matrix inequalitiy tuning approach for the design of remote feedback controllers for power systems. In particular, the determined controllers are both robust and optimal for a wide range of operating conditions, This duality is assured through the application of the proposed tuning process. The controllers presented in this paper were conceived for and tested on a 4-machine test power system with regard to their ability to damp the inter-area oscillation present … Show more

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Cited by 20 publications
(12 citation statements)
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“…Robust and adaptive control have been considered for the design of power system stabilizers [7], [8], [9], [10], [11], [12].…”
Section: The Control Schemementioning
confidence: 99%
“…Robust and adaptive control have been considered for the design of power system stabilizers [7], [8], [9], [10], [11], [12].…”
Section: The Control Schemementioning
confidence: 99%
“…Definition: The interarea variables are variables that satisfy constant (1) when all interconnections among the subsystems , are removed, and the system is free of disturbances.…”
Section: Robust Wide-area Controller Designmentioning
confidence: 99%
“…The LMI approach can also accommodate a combination of and criteria, as demonstrated in [1]. The power system in Fig.…”
Section: Robust Wide-area Controller Designmentioning
confidence: 99%
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“…(Note that some generators will have to increase their output as a result of the restricted output of other generators). Recent research on the application of synchronized phasor measurements to damp inter-area oscillations has proved to be very efficient compared to classical local controllers [14]. The main innovation comes from the fact that when using real-time measurements for feedback controllers, there is a "global vision" of the network.…”
Section: Aspects Of System Control Under Deregulated Environmentmentioning
confidence: 99%