2012
DOI: 10.1109/tpwrs.2012.2194313
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Damping of Low Frequency Oscillations of Multi-Machine Multi-UPFC Power Systems, Based on Adaptive Input-Output Feedback Linearization Control

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Cited by 44 publications
(24 citation statements)
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“…This method can achieve the goals of stabilization, tracking and parameter estimation [30,31]. The design procedure of the mentioned current controller is explained as follows.…”
Section: Ns Current Control Based On Lfmentioning
confidence: 99%
See 1 more Smart Citation
“…This method can achieve the goals of stabilization, tracking and parameter estimation [30,31]. The design procedure of the mentioned current controller is explained as follows.…”
Section: Ns Current Control Based On Lfmentioning
confidence: 99%
“…be the tracking error, and e n ¼n À n ð33Þ be the error between lump-sum uncertainties n and its estimated valuen ¼n anb  à T , a Lyapunov function can be defined as follows [31]:…”
Section: Ns Current Control Based On Lfmentioning
confidence: 99%
“…The UPFC is also able to improve transient stability and oscillation damping of power system . Therefore, the research on the advanced controller of UPFC has attracted the attention of many researchers …”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] In the past decade, many advanced controllers of the UPFC have been designed to compensate for a change of operating condition so that they are able to provide satisfactory performance over a wide range of operating conditions. [6][7][8][9][10][11][12][13][14][15][16][17][18] In order to improve the transient stability and damp low-frequency interarea oscillations of the power system, many nonlinear control strategies and intelligent control strategies of the UPFC have been proposed, such as direct Lyapunov function method, 1,6,7 nonlinear predictive control method, 3 feedback linearization control approach, 8,9 pseudogeneralized Hamiltonian function method, 10 terminal sliding mode control method, 16,17 adaptive nonlinear control, 20 quantum particle swarm optimizer method, 2,4 neural network predictive control approach, …”
mentioning
confidence: 99%
“…The deregulated electricity markets have encouraged power systems to operate closer to their stability limits, and this has made power systems more vulnerable to low-damped low-frequency inter-area oscillatory modes [3]. To tackle this issue, various controllers have been designed using a variety of control approaches; utilising flexible ac transmission systems such as static var compensators [4][5][6], controllable series devices (unified power flow controller, controllable series capacitor) [7][8][9][10][11], high-voltage dc link [12,13] and power system stabiliser (PSS) [14,15]. These provide some of the options for damping low-frequency electromechanical modes.…”
Section: Introductionmentioning
confidence: 99%