A Fast DC Fault Detection Method for Multi-Terminal AC/DC Hybrid Distribution Network Based on Voltage Change Rate of DC Current-Limiting Inductor

Qi, Xiaomin; Pei, Wei; Li, Luyang; Kong, Li

doi:10.3390/en11071828

Cited by 9 publications

(3 citation statements)

References 30 publications

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“…The DC reactor has also been proposed for use as a means for fast and accurate dc fault detection in a meshed multiterminal HVDC grid [112], [113]. The rate of change of the voltage across the DC reactor is compared with predefined protection voltage thresholds.…”

Section: B the Inductormentioning

confidence: 99%

HVDC Circuit Breakers–A Review

et al. 2020

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HVDC circuit breakers are of increasing importance, as multi-terminal high voltage DC (HVDC) transmission becomes a commercial reality. Multiple HVDC breaker technologies have been developed, and are starting to appear as proof-of-concept installations on real networks. Information about them is however distributed widely in the literature. This paper describes the underlying challenges, the leading candidate solutions, and discusses the requirements and construction of the component subassemblies. Its goal is to provide a comprehensive overview of the field.

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Section: B the Inductormentioning

confidence: 99%

HVDC Circuit Breakers–A Review

et al. 2020

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“…The DC reactors were connected at each end of the cable. In Reference [22], the voltage change rate of a DC current limiting inductor (CLI) has been proposed to detect a fault in a multiterminal AC/DC hybrid distribution network. The CLIs were implemented at each end of a cable.…”

Section: Di/dtmentioning

confidence: 99%

A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network

et al. 2018

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The day-by-day increase in digital loads draws attention towards the need for an efficient and compatible distribution network. An LVDC distribution network has the capability to fulfill such digital load demands. However, the major challenge of an LVDC distribution network is its vulnerability during a fault. The need for a high-speed fault detection method is inevitable before it can be widely adopted. This paper proposes a new fault detection method which extracts the features of the current during a fault. The proposed fault detection method uses the merits of overcurrent, the first and second derivative of current, and signal processing techniques. Three different features are extracted from a time domain current signal through a sliding window. The extracted features are based upon the root squared zero, second, and fourth order moments. The features are then set with individual thresholds to discriminate low-, high-, and very high-resistance faults. Furthermore, a fault is located through the superimposed power flow. Moreover, this study proposes a new method based on the vector sum of positive and negative pole currents to identify the faulty pole. The proposed scheme is verified by using a modified IEEE 13 node distribution network, which is implemented in Matlab/Simulink. The simulation results confirm the effectiveness of the proposed fault detection and identification method. The simulation results also confirm that a fault having a resistance of 1 m Ω is detected and interrupted within 250 μ s for the test system used in this study.

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“…Currently, in the study of fault diagnosis in AC-DC hybrid grids, The literature [4] shows that the Industrial frequency quantity distance protection is not applicable to the AC-DC hybrid grid, so a new criterion is proposed to determine the faults inside and outside the zone by solving the time-domain equations, and it is found that the fault characteristics of the hybrid grid are almost the same in the frequency domain under the faults with different transition resistances, so the criterion is not affected by the transition resistances. In the literature [5], for DC line faults in hybrid AC-DC distribution networks, a threshold value is set for the rate of voltage change of the single-end current-limiting inductor of the DC line to detect the occurring faults, and this criterion can effectively detect the three fault cases of bipolar DC lines. Related research shows that fault diagnosis by setting thresholds can effectively achieve fault diagnosis of in-and out-of-area faults, but when there are too many grid lines it is impossible to determine the fault line, and there are limitations that make it difficult to be applied in fault diagnosis of large AC-DC hybrid grids.…”

Section: Introductionmentioning

confidence: 99%

Faulty Line Identification in AC–DC Hybrid Grids Based on MTF and Improved Resnet

Wu,

Chen,

et al. 2023

IEEE Access

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As the degree of AC-DC hybridization of power grids is increasing, their fault characteristics become more complex, and the current hybrid grid fault diagnosis methods, despite their high accuracy, are not sufficiently adaptable, so there is an urgent need to study new grid fault diagnosis methods. To this end, the Markov Transition Field combined with an improved Resnet fault line identification method for AC-DC hybrid grids is proposed. First, the data is reconstructed by the improved complete ensemble empirical mode decomposition with adaptive noise, and then the MTF is used to transform the one-dimensional signal into a two-dimensional picture, then on the basis of residual neural network, the original network is improved by adding multi-branch cavity convolution structure and Ghost module, and the fault features are adaptively extracted and classified by the improved network, so as to realize faulty line identification. The experimental results show that the proposed method can effectively identify the fault lines of AC-DC hybrid power grid, the improved residual neural network can dig out the fault features more deeply, and has strong anti-noise and antidata loss interference ability, the method has 99.91% fault line identification accuracy. It has higher recognition performance compared to traditional machine learning algorithms and various deep learning algorithms.

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A Fast DC Fault Detection Method for Multi-Terminal AC/DC Hybrid Distribution Network Based on Voltage Change Rate of DC Current-Limiting Inductor

Cited by 9 publications

References 30 publications

HVDC Circuit Breakers–A Review

HVDC Circuit Breakers–A Review

A High-Speed Fault Detection, Identification, and Isolation Method for a Last Mile Radial LVDC Distribution Network

Faulty Line Identification in AC–DC Hybrid Grids Based on MTF and Improved Resnet

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