A novel whole-line quick-action protection principle for HVDC transmission lines using one-end voltage

Gao, Shuping; Chu, Xiangxiang; Shen, Q. Y.; Jin, Xingfu; Luo, Jungang; Yun, Yeyi; Song, Guobing

doi:10.1016/j.ijepes.2014.10.013

Cited by 39 publications

(28 citation statements)

References 3 publications

(1 reference statement)

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“…The operation principle of this method is based on the analysis of high frequencies attenuated by the filters or reactors at the end of DC lines or cables, since they behave as natural boundaries for these frequencies [61]. The Hilbert-Huang Transform is used to generate the frequency spectrum of transient voltages and identify any internal faults.…”

Section: Frequency-based Protection Methodsmentioning

confidence: 99%

Design of protection schemes for multi-terminal HVDC systems

Blond

Bertho

Coury

et al. 2016

Renewable and Sustainable Energy Reviews

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Section: Frequency-based Protection Methodsmentioning

confidence: 99%

Design of protection schemes for multi-terminal HVDC systems

Blond

Bertho

Coury

et al. 2016

Renewable and Sustainable Energy Reviews

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“…( According to the attenuation characteristic of HVDC system transmission lines and boundary elements to fault transient signals [6,7,22], when an internal fault occurs, the fault traveling wave reach IED1 and IED2 by the transmission line attenuation, as a consequence, the attenuation amplitudes of the transient signal measured from IED1 and IED2 are small.…”

Section: Plos Onementioning

confidence: 99%

“…The additional components of the fault and the traveling wave propagation characteristics of the HVDC transmission line when an external fault occurs are shown in Fig 3 (the solid line indicates the outside of the rectification side area and the broken line indicates the outside of the inverter side area). According to the attenuation characteristics of the fault signal of the transmission line and its boundary, it should be pointed out that the boundary of the DC transmission line has an obvious attenuation effect on the high-frequency component (10 kHz and above) in the fault transient signal [6,7,22]. When an external fault (take a fault located outside the rectifier for example) occurs, the fault traveling wave reaches IED1 by the attenuation of the boundary element located on the rectifier side, and reaches the IED2 by the double attenuation of the boundary element and the transmission line, so the signal attenuation amplitudes measured at both ends are large.…”

Section: Analysis Of Traveling Wave Characteristics When An External mentioning

confidence: 99%

“…The specific method is to perform Karenbauer transform on the fault current traveling wave, and take the linear mode i L (t) to perform discrete S-transform. Since the boundary of the DC transmission line has an obvious attenuation effect on the highfrequency components (10 kHz and above) in the fault transient signal [6,7,22], the sampling data in the short-time window of the fault traveling wave under 8 different characteristic frequencies f l (l = 10,11,12,13,14,15,16,17)kHz are extracted on the rectifier side and the inverter side respectively in this paper. The fluctuation index of the corresponding characteristic current traveling wave is calculated, and the fluctuation index is defined as:…”

Section: Multi-scale S-transform Fluctuation Indexmentioning

confidence: 99%

“…These methods can effectively identify internal and external faults, but the threshold setting has no theoretical basis and requires numerous simulation verification. Literatures [6,7] propose to use the single-ended specific frequency signal to construct the fault identification criteria for internal and external faults, but this method is greatly affected by the trigger angle and commutation overlap angle of the control system. S-transform is applied in some references to extract measurement wave impedance [8] and wave impedance phase [9] to realize internal and external fault identification, but such algorithms have higher requirements on sampling frequency and hardware equipment.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel intelligent fault identification method based on random forests for HVDC transmission lines

Wang

et al. 2020

PLoS ONE

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In order to remedy the current problem of having been buffeted by competing requirements for both protection sensitivity and quick reaction of High Voltage Direct Current (HVDC) transmission lines simultaneously, a new intelligent fault identification method based on Random Forests (RF) for HVDC transmission lines is proposed. S transform is implemented to extract fault current traveling wave of 8 frequencies and calculate the fluctuation index and energy sum ratio, in which the wave index is used to identify internal and external faults, and energy sum ratio is used to identify the positive and negative pole faults occurred on the transmission line. The intelligent fault identification model of RF is established, and the fault characteristic sample set of HVDC transmission lines is constructed by using multi-scale S transform fluctuation index and multi-scale S-transform energy sum ratio. Training and testing have been carried out to identify HVDC transmission line faults. According to theoretical researches and a large number of results of simulation experiments, the proposed intelligent fault identification method based on RF for HVDC transmission lines can effectively solve the problem of protection failure caused by inaccurate identification of traditional traveling wave wavefront or wavefront data loss. It can accurately and quickly realize the identification of internal and external faults and the selection of fault poles under different fault distances and transitional resistances, and has a strong ability to withstand transitional resistance and a strong ability to resist interference.

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Protection Scheme for Multiterminal HVDC System Based on Wavelet Transform Modulus Maxima

Huai

Liu

Ding³

et al. 2020

IEEJ Transactions Elec Engng

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Non-member Hua Ding ＊＊ , Non-member Liang Qin ＊a , Non-member Fault protection is a major issue in the development of multi-terminal high-voltage direct current (HVDC) system based on voltage-source converter. Owing to the rapid increase in fault current under DC faults, protection requires a fast fault detection method to isolate the fault current. However, the selectivity and reliability of the fast protection scheme should be primarily guaranteed. Therefore, a new protection strategy based on modulus maximum under wavelet transform is proposed in this paper. Fault detection and discrimination are achieved using single-end signals of fault current. The external and internal faults can be discriminated via local information. The reliability and robustness of the proposed scheme against potential factors are verified. Numerous simulation cases are performed in PSCAD/EMTDC under different fault scenarios, and signal data are analyzed in MATLAB to demonstrate the effectiveness of the proposed fault protection scheme.

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A novel whole-line quick-action protection principle for HVDC transmission lines using one-end voltage

Cited by 39 publications

References 3 publications

Design of protection schemes for multi-terminal HVDC systems

Design of protection schemes for multi-terminal HVDC systems

A novel intelligent fault identification method based on random forests for HVDC transmission lines

Protection Scheme for Multiterminal HVDC System Based on Wavelet Transform Modulus Maxima

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