Modeling and Simulating Long-Timescale Cascading Faults in Power Systems Caused by Line-Galloping Events

Chen, Lizheng; Zhang, Hengxu; Li, Changgang; Sun, Haoyu

doi:10.3390/en10091301

Cited by 5 publications

(4 citation statements)

References 16 publications

(20 reference statements)

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“…The consideration of dynamic processes is essential and effective in the research on power systems in extreme weather. In [29] and [30], this idea was applied to the simulation of a power system considering the effects of icing and line galloping. However, the insulator flashover was ignored.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Simulation of Power Systems Considering Transmission Lines Icing and Insulators Flashover in Extreme Weather

et al. 2022

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Global climate deterioration caused by excessive carbon emissions poses a severe threat to the stable operation of power systems. In extreme snow and ice weather, complex faults, such as ice-covered line breakage and insulator flashover, may be triggered. Hybrid simulations to reveal the influence mechanism and dynamic interaction process between extreme weather and power systems have become a research focus. Relationship models between meteorological conditions and grid failure were constructed in ice accretion and insulator flashover scenarios. Based on the above two models, a multi-variable and multi-time scale hybrid simulation of the meteorological process and power system, considering line icing and insulator flashover, was realized. An example was provided to verify the feasibility of the proposed simulation scheme.INDEX TERMS Extreme snow and ice weather, line icing, insulator flashover, hybrid simulation.

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Section: Introductionmentioning

confidence: 99%

Dynamic Simulation of Power Systems Considering Transmission Lines Icing and Insulators Flashover in Extreme Weather

et al. 2022

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“…Galloping is a well-known phenomenon for iced electricity transmission lines. Galloping of multi-span conductors can reach high amplitude causing high tension on conductors, and the periodic change of the tension can be leaded to damage of sub-conductors, spacers, and towers (Kermani et al, 2013;Chen et al, 2017), which usually give rise to disruption of power supply, as shown in Fig. 1.…”

Section: Introductionmentioning

confidence: 99%

Calculation Method for Dynamic Stiffness of Multispan Overhead Transmission Lines

Zhang²,

Liu

et al. 2022

IEEE Access

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The dynamic motion of a span is coupled to the other spans in transmission lines. From the continuity conditions, force equilibrium conditions, and dynamical equations of every span conductor and insulator string, a close-form expression for the dynamic stiffness of a coupled two spans in harmonic motion is presented. Unlike some existing theories of single span conductor, the effect between the conductors and insulator strings is considered here. By means of example calculations, the validity of the dynamic stiffness of two-span is demonstrated by the consistency of the results determined by the ABAQUS. Meanwhile, the dynamic stiffness and natural frequency are discussed under variation of the span lengths ratio, Irvine parameter, and insulator string length. Moreover, the modal shape function corresponding natural frequency is derived, and the contribution of localization mode is studied. The results show that the contribution is either sensitive to or independent of transmission line parameters in certain parameter ranges. Finally, generalizing the work of two-span, the dynamic stiffness of arbitrary span number is obtained.

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“…Conductor galloping is caused by icing or strong winds and represents a major hazard, which may lead to various damages such as wire fractures or tower collapses and large-scale grid breakdowns. Hence, galloping prevention is imperative [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Reconstruction Method for Transmission Lines Galloping With Conditional Generative Adversarial Network

Cao

et al. 2020

IEEE Access

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Conductor galloping seriously threatens the safe operation of power systems and may lead to various damages such as wire fractures or tower collapses and large-scale grid breakdowns. Real-time galloping data are important in the mechanism and effect analysis of conductor dancing prevention; moreover, they are critical for verifying anti-galloping designs and developing galloping prevention plans. However, owing to the limitations of using sensors on cables, obtaining complete galloping data is an ill-posed and challenging problem. In this study, a novel curve reconstruction method using a conditional generative adversarial network (GAN), CR-CGAN, is proposed for fully synthesizing transmission line galloping curves. We use the modeling capabilities of the recently introduced GAN by imposing additional constraints to achieve full reconstruction of the galloping curves. Moreover, we introduce a novel design in the generator-discriminator pair for improved results and a new refined loss function to enhance details. The generator uses an autoencoder with skip connections, and the inception module is used to capture different scales of spatiotemporal correlation. The discriminator is designed to use global information to determine the reliability and smoothness of the reconstructed curve. The refined loss function is aimed at reducing artifacts introduced by the GAN and ensures better reconstruction quality. A single-degree-offreedom model is constructed to verify the effectiveness and feasibility of the proposed method. Simulation results demonstrate that the proposed method can accurately reconstruct galloping curves with limited use of sensors, thus meeting the energy efficiency demands of the monitoring system.

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Modeling and Simulating Long-Timescale Cascading Faults in Power Systems Caused by Line-Galloping Events

Cited by 5 publications

References 16 publications

Dynamic Simulation of Power Systems Considering Transmission Lines Icing and Insulators Flashover in Extreme Weather

Dynamic Simulation of Power Systems Considering Transmission Lines Icing and Insulators Flashover in Extreme Weather

Calculation Method for Dynamic Stiffness of Multispan Overhead Transmission Lines

Energy-Efficient Reconstruction Method for Transmission Lines Galloping With Conditional Generative Adversarial Network

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