A Robust Feedback Linearization Controller Design for Thyristor Control Series Capacitor to Damp Electromechanical Oscillations

Barkhordary, M.; Nabavi, Seyed M. H.; Motlagh, Mohammad Reza Jahed; Kazemi, A.

doi:10.1109/icit.2006.372674

Cited by 7 publications

(5 citation statements)

References 38 publications

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“…The non-linear differential equations of the single machine infinite bus power system with TCSC are as follows: [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] …”

Section: The Model Of the Power System Including Tcscmentioning

confidence: 99%

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Fuzzy c-means clustering damping controller design for a power system installed with TCSC

Khatami

Talebi

Razavi

2009

2009 International Conference on Power Systems

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Low frequency oscillations (LFO) in power system occur usually because of lack of damping torque to overcome disturbances in power system such as changes in mechanical power. Traditionally, power system stabilizers (PSS) are being used to damp these oscillations. Thyristor Controlled Series Compensator (TCSC) is a well-known FACTS device that can control power flow in transmission lines. It can also replace PSS to damp low frequency oscillations effectively by cancelling a portion of the reactance line impedance and thereby increase the transmittable power. In this paper a linearized Heffron-Philips model of a (Single Machine Infinite Bus) power system with a TCSC controller is developed. The designed fuzzy c-means clustering TCSC controller adjusts control signal by appropriately processing of the input signals, and provides an efficient damping. The results of the simulation show that the TCSC with fuzzy c-means clustering controller is more effective in damping LFO compared to TCSC with lead-lag compensator.

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“…The non-linear differential equations of the single machine infinite bus power system with TCSC are as follows: [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15] …”

Section: The Model Of the Power System Including Tcscmentioning

confidence: 99%

“…The advantages of using Flexible AC Transmission System (FACTS) controllers for improving power system stability are well known [1], [2]. Thyristor Controlled Series Capacitor (TCSC), as a FACTS controller, has been widely studied and utilized [3].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy c-means clustering damping controller design for a power system installed with TCSC

Khatami

Talebi

Razavi

2009

2009 International Conference on Power Systems

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“…The original non‐linear system is linearised at multiple working conditions according to one (several) scheduling variable(s) and thus a family of linear parameter varying (LPV) models can be obtained. For each of the LPV models, a set of control parameters is tuned and then the control system automatically switches (perhaps interpolates) its parameter(s) by observing the scheduling variables. (iii) Robust control, the basic idea of which is to incorporate the constant variation of operating conditions into model uncertainties and then design the controller with explicit consideration of such uncertainties, for instance, the robust static synchronous series compensator (SSSC) supplementary controller in [6] and the thyristor controlled series compensator (TCSC) controller in [7]. (iv) Adaptive control, which usually adopts a certain ‘adaptive mechanism’ to fit, identify or self‐learn the variation of system operating conditions and then automatically adjusts control parameters to achieve satisfactory control performance.…”

Section: Introductionmentioning

confidence: 99%

“…(iii) Robust control, the basic idea of which is to incorporate the constant variation of operating conditions into model uncertainties and then design the controller with explicit consideration of such uncertainties, for instance, the robust static synchronous series compensator (SSSC) supplementary controller in [6] and the thyristor controlled series compensator (TCSC) controller in [7].…”

Section: Introductionmentioning

confidence: 99%

Optimal design of linear subsynchronous damping controllers for stabilising torsional interactions under all possible operating conditions

Liu

Xie

Wang

et al. 2015

IET Generation, Transmission & Distribution

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“…The feedback linearization method is widely used in process and aerospace control applications. 18,19 The altitude and velocity tracking control design problem for an AHFV using the feedback linearization method, which utilizes nonlinear dynamic inversion techniques, 20 is presented in Xu et al 21 and Marrison and Stengel. 22 The feedback linearization method can only linearize the nominal model of a system by geometrically canceling the nonlinear terms.…”

Section: Introductionmentioning

confidence: 99%

Feedback linearization-based robust nonlinear control design for hypersonic flight vehicles

Rehman

Petersen

Fi̇dan

2012

Proceedings of the Institution of Mechanical Engineers, Part I:

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A new approach to designing a robust nonlinear controller for longitudinal flexible body models of canard configured air-breathing hypersonic flight vehicles with significant couplings and interactions is presented. The methodology uses a robust feedback linearization method to feedback linearize the nonlinear air-breathing hypersonic flight vehicle model with 24 uncertainty parameters. Using this approach, a linearized uncertainty model of the air-breathing hypersonic flight vehicle is obtained in the first step by considering an upper bound on each uncertain parameter. In the second step, a minimax linear quadratic regulator-based velocity and altitude robust tracking controller is synthesized for the linearized model. Simulation studies are conducted using the original nonlinear model of the air-breathing hypersonic flight vehicle with a large flight envelope and time-varying uncertainties. Simulation results show that the feedback linearization-based minimax linear quadratic regulator controller effectively achieves the tracking requirement and robustly stabilizes the air-breathing hypersonic flight vehicle.

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A Robust Feedback Linearization Controller Design for Thyristor Control Series Capacitor to Damp Electromechanical Oscillations

Cited by 7 publications

References 38 publications

Fuzzy c-means clustering damping controller design for a power system installed with TCSC

Fuzzy c-means clustering damping controller design for a power system installed with TCSC

Optimal design of linear subsynchronous damping controllers for stabilising torsional interactions under all possible operating conditions

Feedback linearization-based robust nonlinear control design for hypersonic flight vehicles

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