Resonant Grounded Isolation Transformers to Prevent Ignitions From Powerline Faults

Rorabaugh, Jesse; Swisher, Andrew; Palma, J. C.; Andaya, Gabriel; Webster, M.R.; Kirkpatrick, Brendan; Garcia, Benjamin A.; Harrington, Michael; Hughes, Michael; Fresquez, Austin; Ojeda, Arianna; Park, Joshua; Tran, Thuan

doi:10.1109/tpwrd.2020.3030220

Cited by 14 publications

(1 citation statement)

References 3 publications

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“…Additionally, research 7 has demonstrated that bird nests can have adverse effects on the insulating properties of power lines. Lastly, there have been reports of electrical accidents caused by balloons 8 , 9 , primarily due to their uncontrolled floating behavior that brings them into contact with power lines. To summarize, common foreign objects that can be found on railroad transmission lines include: (1) Plastic bags: these lightweight items are easily carried by the wind and can become entangled in transmission lines, posing safety risks (see Fig.…”

Section: Background and Summarymentioning

confidence: 99%

RailFOD23: A dataset for foreign object detection on railroad transmission lines

Chen,

Yang,

Feng

et al. 2024

Sci Data

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Artificial intelligence models play a crucial role in monitoring and maintaining railroad infrastructure by analyzing image data of foreign objects on power transmission lines. However, the availability of publicly accessible datasets for railroad foreign objects is limited, and the rarity of anomalies in railroad image data, combined with restricted data sharing, poses challenges for training effective foreign object detection models. In this paper, the aim is to present a new dataset of foreign objects on railroad transmission lines, and evaluating the overall performance of mainstream detection models in this context. Taking a unique approach and leveraging large-scale models such as ChatGPT (Chat Generative Pre-trained Transformer) and text-to-image generation models, we synthesize a series of foreign object data. The dataset includes 14,615 images with 40,541 annotated objects, covering four common foreign objects on railroad power transmission lines. Through empirical research on this dataset, we validate the performance of various baseline models in foreign object detection, providing valuable insights for the monitoring and maintenance of railroad facilities.

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Section: Background and Summarymentioning

confidence: 99%

RailFOD23: A dataset for foreign object detection on railroad transmission lines

Chen,

Yang,

Feng

et al. 2024

Sci Data

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Research on PI automatic tracking and arc elimination method based on phase deviation‐fault residual voltage control

Liu,

Zeng,

Yang

et al. 2024

Circuit Theory & Apps

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Aiming at the problem that the current arc suppression method of coil cannot achieve full compensation. First, the calculation model of the full compensation parameters of the controllable voltage source is established by analyzing the grounding fault arc suppression principle of the independent controllable voltage source and the parallel arc suppression coil. Second, by analyzing the arc suppression characteristics of controllable voltage source, a PI automatic regulation method based on phase deviation‐fault residual voltage control is proposed. The method uses fault residual voltage and the change of output voltage amplitude of controllable voltage source to control the adjustment direction and fault residual voltage to control the output voltage amplitude of controllable voltage source. The simulation results show that when the capacitive current of the distribution network is 24.47 A, the fault residual voltage is 2.5 V and the residual current is 446 mA after compensation by the independent controllable voltage source. When the capacitive current is 40.8 A and the deharmonic degree of arc suppression coil is −9%, the fault residual voltage and residual current are 2.2 V and 60 mA after compensated by the parallel arc suppression coil of the controlled voltage source. The proposed PI control method exhibits good stability, resulting in low fault residual voltage, and outperforms traditional control methods, enhancing the arc extinction effect of ground faults.

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A modified charge similarity approach for detecting high impedance earth faults in resonant grounded power distribution networks

Pirmani

Mahmud

Islam

et al. 2023

Electric Power Systems Research

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Resonant Grounded Isolation Transformers to Prevent Ignitions From Powerline Faults

Cited by 14 publications

References 3 publications

RailFOD23: A dataset for foreign object detection on railroad transmission lines

RailFOD23: A dataset for foreign object detection on railroad transmission lines

Research on PI automatic tracking and arc elimination method based on phase deviation‐fault residual voltage control

A modified charge similarity approach for detecting high impedance earth faults in resonant grounded power distribution networks

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