Squaring and lowpass filtering data-driven technique for AC faults in AC/DC lines

Mehdi, Arif; Hassan, S Jarjees Ul; Kim, Chul‐Hwan

doi:10.1016/j.epsr.2023.109581

Cited by 1 publication

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Details Of DC Filter Ground Faultsmentioning

confidence: 99%

“…In operational scenarios, DC filters, as previously noted, are susceptible to a variety of faults, with ground faults being a common concern due to their impact on the stability of the DC output [15,16]. These are principally distinguished based on the location of grounding: the high-voltage side of the DC filter, including the filter entry section and the high-voltage capacitor section, and the low-voltage side, i.e., the tuning section, as illustrated in Figure 2.…”

Section: Details Of DC Filter Ground Faultsmentioning

confidence: 99%

See 1 more Smart Citation

An Improved Fault Localization Method for Direct Current Filters in HVDC Systems: Development and Application of the DRNCNN Model

Liu,

Qiao

et al. 2024

Machines

View full text Add to dashboard Cite

This paper focus on direct current (DC) filter grounding faults to propose a novel dilated normalized residual convolutional neural network (DRNCNN) fault diagnosis model for high-voltage direct current (HVDC) transmission systems. To address the insufficiency of the traditional model’s receptive field in dealing with high-dimensional and nonlinear data, this paper incorporates dilated convolution and batch normalization (BN), significantly enhancing the CNN’s capability to capture complex spatial features. Furthermore, this paper integrates residual connections and parameter rectified linear units (PReLU) to optimize gradient propagation and mitigate the issue of gradient vanishing during training. These innovative improvements, embodied in the DRNCNN model, substantially increase the accuracy of fault detection, achieving a diagnostic accuracy rate of 99.28%.

show abstract

Section: Details Of DC Filter Ground Faultsmentioning

confidence: 99%

Section: Details Of DC Filter Ground Faultsmentioning

confidence: 99%