2007
DOI: 10.1109/tcst.2006.883232
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A Study on LQG/LTR Control for Damping Inter-Area Oscillations in Power Systems

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Cited by 95 publications
(46 citation statements)
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“…Let a(s) be the open loop characteristic polynomial of (1) and define a := a 0 a 1 · · · a n−1 T as its associated coefficient vector. Similarly define σ := σ 0 σ 1 · · · σ n−1 T as the coefficient vector corresponding to the characteristic polynomial of system (2). Further define the controllability matrix…”
Section: Resultsmentioning
confidence: 99%
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“…Let a(s) be the open loop characteristic polynomial of (1) and define a := a 0 a 1 · · · a n−1 T as its associated coefficient vector. Similarly define σ := σ 0 σ 1 · · · σ n−1 T as the coefficient vector corresponding to the characteristic polynomial of system (2). Further define the controllability matrix…”
Section: Resultsmentioning
confidence: 99%
“…see [1]). State feedback approach has been used in the past to damp oscillations following large and small disturbances in power systems where the oscillatory behavior is dominated b.chaudhuri@imperial.ac.uk by a few poorly damped electromechanical modes with very little to zero influence from the other modes [2]. Hence, it is important to carefully place only those critical poles to ensure desired performance following disturbances.…”
Section: Introductionmentioning
confidence: 99%
“…Here such a controller is designed using linear quadratic regulator (LQR) approach [26] based on a 10th order reduced model of the nominal power system.…”
Section: Case Studymentioning
confidence: 99%
“…The CF receives the constant value of the last available sample during the inter-sample interval in the form of a zero-order hold. Here the controller is designed using linear quadratic regulator (LQR) approach [26] based on a 5th order reduced equivalent of the nominal system.…”
Section: B Control With Cf and Pc Approachesmentioning
confidence: 99%