Speedup of parallel computing by parareal method in transient stability analysis of Japanese power system

Sekine, Takafumi; Tsuji, Takeshi; Oyama, Tsutomu; Magoulès, Frédéric; Uchida, Kenko

doi:10.1109/isgt-asia.2016.7796552

Cited by 3 publications

(1 citation statement)

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“…Indian scholars [8] studied the bifurcations in a three-node power system by approximating the soft wind-up limiter using smooth function to simplify the bifurcation analysis. e scholars in [9] revealed the relationship between various instability modes and chaos phenomena in a three-bus power system and studied the routes to chaos in this model. A single-machine infinitebus power systems model withhard limits in the excitation feedback loop and its effect on the Hopfbifurcation and chaos instability has been presented in [10].…”

Section: Introductionmentioning

confidence: 99%

Chaotic Power System Stabilization Based on Novel Incommensurate Fractional‐Order Linear Augmentation Controller

2021

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The nonlinear dynamics of an incommensurate fractional-order single-machine infinite-bus (SMIB) power system benchmark model are explored and studied by means of modern nonlinear analysis theories, such as bifurcation, chaos, power spectral density (PSD), and bicoherence methods. The effect of incommensurate order derivatives on power system dynamics is presented. The study reveals that the power system undergoes interesting dynamics such as periodic motion, chaotic oscillations, and multistability whenever the system parameter values fall into particular ranges. A new fractional-order linear augmentation-based control scheme is applied to damp out the power system’s chaotic oscillation, change the stability of the coexisting states, and drive the system from multistability to monostability. The stability of the proposed control system is derived using Lyapunov theory. Simulation results confirmed the effectiveness and robustness of the proposed control scheme in damping power system oscillations and achieving good overall performance. The results in this paper will give a better understanding of the nonlinear dynamic behaviors of the incommensurate fractional-order SMIB power system.

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Section: Introductionmentioning

confidence: 99%