2016
DOI: 10.1080/15325008.2015.1122112
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Modeling and Suppression of Chaotic Ferroresonance in a Power System by Using Memristor-based System

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Cited by 13 publications
(3 citation statements)
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“…The nonlinear resistor is found to have impressive applications in the protection of transformers. [36] One such an application can be the suppression of ferroresonance in inductive voltage transformers. Though a linear resistor is used as a ferroresonance suppression device usually, the performance and lifetime of the transformer degrade over repeated occurrence.…”
Section: Resultsmentioning
confidence: 99%
“…The nonlinear resistor is found to have impressive applications in the protection of transformers. [36] One such an application can be the suppression of ferroresonance in inductive voltage transformers. Though a linear resistor is used as a ferroresonance suppression device usually, the performance and lifetime of the transformer degrade over repeated occurrence.…”
Section: Resultsmentioning
confidence: 99%
“…Since it is of great benefit to circuit designers to be able to model the memristor, researchers have focused on the SPICE-based models and emulators in order to use the memristor-based circuits [14]. Several suitable memristor emulators [15][16][17][18][19][20][21][22][23][24][25][26][27] and materials [28][29] have been proposed for memristor-based systems.…”
Section: Fig1 Schematic Representation Showing Typical I-v Curve Ofmentioning
confidence: 99%
“…Power system, as a typical nonlinear and nonautonomous system, contains many complex nonlinear electromechanical oscillations such as low frequency oscillation, subsynchronous oscillation, bifurcation, and chaos oscillation [4][5][6]. When periodic load disturbance reaches a certain amplitude, chaos oscillation phenomena in power system will happen, which is an aperiodic, irregularity, paroxysmal and sudden ill-conditioned electromechanical chaotic oscillation [7,8]. In serious cases, chaos oscillation will lead to interconnection of power system and a serious threat to the safety of the power grid [9].…”
Section: Introductionmentioning
confidence: 99%