Fault Location Algorithm Based on Characteristic- Harmonic Measured Impedance for HVdc Grounding Electrode Lines

Lin, Sheng; Liu, Lei; Sun, Peiyao; Lei, Yuqing; Teng, Yufei; Li, Xiaopeng

doi:10.1109/tim.2020.3004682

Cited by 21 publications

(4 citation statements)

References 20 publications

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“…In this implementation, the segment's minimum time length, 𝑠𝑡 𝑚𝑖𝑛 , is set to 40 s. It is worth noting that in the fault-location studies, the error is calculated as follows [28]:…”

Section: Resultsmentioning

confidence: 99%

A Signal Segmentation Approach to Identify Incident/Reflected Traveling Waves for Fault Location in Half-Bridge MMC-HVdc Grids

Farshad

Karimi

2022

IEEE Trans. Instrum. Meas.

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This article presents a new systematic technique for identifying voltage traveling-waves (TWs) to determine the location of line faults in half-bridge modular multilevel converterbased high-voltage direct-current (HBMMC-HVDC) grids. In this technique, the buffered voltage signal frame around the faultdetection time is first scaled and then segmented via an optimization process. Finally, the incident/reflected TWs arrival times are obtained by executing a simple search algorithm on the reconstructed signal segments' differences. This article describes how to use this technique in three forms of TW-based fault location schemes, including the single-ended scheme with known TW velocity, the double-ended scheme with known TW velocity, and the double-ended scheme with unknown TW velocity. The application results on a 4-terminal HBMMC-HVDC grid simulated with exact component models show the proposed technique's high capability and accuracy in all the three TWbased fault-location schemes. According to these results, the average fault-location errors are less than 0.5% for all the schemes. The numerical results also confirm that the proposed technique maintains its excellent performance, even in the face of close to terminal faults with distances down to 4 km, faults with high resistances up to 450 , and noisy signals with signal-to-noise ratios down to 55 dB. Moreover, the comparison results confirm that the proposed approach is more tolerant of measurement noise than the wavelet transform.

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Section: Resultsmentioning

confidence: 99%

A Signal Segmentation Approach to Identify Incident/Reflected Traveling Waves for Fault Location in Half-Bridge MMC-HVdc Grids

Farshad

Karimi

2022

IEEE Trans. Instrum. Meas.

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“…In [17], a fault location method for a modular multilevel converter (MMC)-based HVDC grid based on dynamic state estimation and gradient descent uses data window of 5 ms after the occurrence of the fault. In [18], a novel fault location approach based on characteristic-harmonic measured impedance (CHMI) has been proposed. In this method, fault branch is identified by the amplitude ratio of the two CHMI.…”

Section: Of 21mentioning

confidence: 99%

Locating Faults in Thyristor-Based LCC-HVDC Transmission Lines Using Single End Measurements and Boosting Ensemble

Swetapadma

Agarwal²,

Chakrabarti

et al. 2022

Electronics

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Most of the fault location methods in high voltage direct current (HVDC) transmission lines usemethods which require signals from both ends. It will be difficult to estimate fault location if the signal recorded is not correct due to communication problems.Hence a robust method is required which can locate fault with minimum error. In this work, faults are located using boosting ensembles in HVDC transmission lines based on single terminal direct current (DC) signals. The signals are processed to obtain input features that vary with the fault distance. These input features are obtained by taking maximum of half cycle current signals after fault and minimum of half cycle voltage signals after fault from the root mean square of DC signals. The input features are input to a boosting ensemble for estimating the location of fault. Boosting ensemble method attempts to correct the errors from the previous models and find outputs by combining all models. The boosting ensemble method has been also compared with the decision tree method and thebagging-based ensemble method. Fault locations are estimated using three methods and compared to obtain an optimal method. The boosting ensemble method has better performance than all the other methods in locating the faults. It also validated varying fault resistance, smoothing reactors, boundary faults, pole to ground faults and pole to pole faults. The advantage of the method is that no communication link is needed. Another advantage is that it allowsreach setting up to 99.9% and does not exhibitthe problem of over-fitting. Another advantage is that the percentage error in locating faults is within 1% and has a low realization cost. The proposed method can be implemented in HVDC transmission lines effectively as an alternative to overcome the drawbacks of traveling wave methods.

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“…According to whether the harmonic disturbance signals are applied, the methods to identify impedance are mainly divided into active and passive strategies (Pan et al, 2018;Hu et al, 2020b;Pan et al, 2021a). Passive strategy estimates the impedance using mathematical analysis and numerical processing without injecting any additional disturbance (Pegoraro et al, 2019;Lin et al, 2020a;Lin et al, 2020b). Although this kind of strategy has no impact on the original system, it has a large computational load and extensive estimation.…”

Section: Introductionmentioning

confidence: 99%

An improved dq-frame wideband impedance identification method for power supply network with only one disturbance

Zhao,

Wei,

Yan

et al. 2023

Front. Energy Res.

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To cope with the energy crisis and environmental degradation, the new energy represented by wind and photovoltaic power generations have developed rapidly, which leads to a large number of power electronic converters being connected to the power grid. In this context, the power-electronic-based power system has become a trend. However, when wideband impedance mismatch happens between the power electronic converter and the connected power supply network, the wideband oscillation will occur in the system, which seriously endangers the safe and stable operation of the power system. To solve it, impedance identification is a key step to obtain the dq-frame impedance characteristics to analyze the power system stability. This article focuses on the power supply network and proposes an improved method to identify its dq-frame wide-band impedance by only one disturbance, which greatly simplifies the dq-frame wideband impedance identification process to improve the identification efficiency. It is of great significance for the safe and stable operation of the power-electronic-based power system.

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Fault Location Algorithm Based on Characteristic- Harmonic Measured Impedance for HVdc Grounding Electrode Lines

Cited by 21 publications

References 20 publications

A Signal Segmentation Approach to Identify Incident/Reflected Traveling Waves for Fault Location in Half-Bridge MMC-HVdc Grids

A Signal Segmentation Approach to Identify Incident/Reflected Traveling Waves for Fault Location in Half-Bridge MMC-HVdc Grids

Locating Faults in Thyristor-Based LCC-HVDC Transmission Lines Using Single End Measurements and Boosting Ensemble

An improved dq-frame wideband impedance identification method for power supply network with only one disturbance

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