2011
DOI: 10.1016/j.engappai.2010.09.005
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Adaptive RTRL based neurocontroller for damping subsynchronous oscillations using TCSC

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Cited by 29 publications
(8 citation statements)
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“…This model shows three phase armature winding on the stator (a, b and c) and the field winding (f) along with the damper windings (g, h and k) on the rotor [11,12]. Following assumptions are made in the derivation of the basic electrical equations of the machine: mmf in the air gap is distributed sinusoidally, harmonics are neglected, saliency is restricted to the rotor, effect of slots in the stator is neglected, magnetic saturation and hysteresis are ignored.…”
Section: Synchronous Machinementioning
confidence: 99%
“…This model shows three phase armature winding on the stator (a, b and c) and the field winding (f) along with the damper windings (g, h and k) on the rotor [11,12]. Following assumptions are made in the derivation of the basic electrical equations of the machine: mmf in the air gap is distributed sinusoidally, harmonics are neglected, saliency is restricted to the rotor, effect of slots in the stator is neglected, magnetic saturation and hysteresis are ignored.…”
Section: Synchronous Machinementioning
confidence: 99%
“…The system we considered in this paper is the IEEE second benchmark model (SBM). In this study, we follow the approach proposed in [9] which is to control a thyristor controlled series capacitor (TCSC) via a neural network controller for the minimization of the SSR.…”
Section: Introductionmentioning
confidence: 99%
“…To prevent the generator shaft from damages of un-damped sub-synchronous oscillations, various devices such as: Power System Stabilizers (PSSs) [3][4][5] and Flexible AC Transmission Systems (FACTSs) [6][7][8][9][10][11][12] as possible approaches have been proposed. These devices should be enhanced with an auxiliary controller in order to provide the extra damping characteristic.…”
Section: Introductionmentioning
confidence: 99%