Transient measured impedance‐based protection scheme for DC line faults in ultra high‐voltage direct‐current system

Liu, Jian; Tai, Nengling; Fan, Chunju; Yang, Yayu

doi:10.1049/iet-gtd.2016.0408

Cited by 51 publications

(40 citation statements)

References 29 publications

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“…Several algorithms which use quantities in the phase domain are reported for the protection of LCC dc systems [15][16][17][18][19][20]. The algorithms reported in [15][16][17][18] are similar in nature, where the dc voltage and its derivative are compared against thresholds and possibly complemented by a threshold on the current derivative.…”

Section: Phase Domainmentioning

confidence: 99%

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HVDC grid protection algorithm design in phase and modal domains

Leterme¹,

Azad

Hertem³

2018

IET Renewable Power Generation

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To meet the required operation speed for protection of meshed voltage source converter (VSC) high voltage direct current (HVDC) grids, traveling wave-based algorithms operating in the sub-millisecond time-frame can be used. The domain in which these algorithms operate, i.e., modal or phase, determines their performance in fault discrimination, fault type classification and faulted pole selection. In the recent literature, high-speed algorithms have been proposed for various VSC HVDC grid configurations and transmission line types; yet the choice of domain has received insufficient attention. This paper offers recommendations for the choice of domain for protection algorithm design of HVDC overhead line or cable systems in symmetric monopolar and bipolar configurations. The theoretical analysis of this paper, which is based on fundamental wave propagation theory, indicates that the preferred domain for protection algorithms for cable and overhead line systems are the phase and modal, respectively. Furthermore, the paper provides comprehensive guidelines to construct detection functions for both configurations and discusses the errors introduced by approximations. Finally, study results from a bipolar overhead line test system demonstrate the advantages of modal over phase domain for fast fault discrimination and classification and illustrate practical problems associated with non-ideal detection functions.

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Section: Phase Domainmentioning

confidence: 99%

“…The algorithms proposed in [19,20] use voltage measurements to distinguish between faulted and healthy poles by assessing whether the pole voltage has a transient nature (healthy pole) or not (faulted pole). The time windows to make a decision on the faulted pole are 3 ms in [19] and 10 ms in [20].…”

Section: Phase Domainmentioning

confidence: 99%

HVDC grid protection algorithm design in phase and modal domains

Leterme¹,

Azad

Hertem³

2018

IET Renewable Power Generation

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“…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. In reference [10], the wave impedance is calculated and measured using the transient band component around the tuning point of the DC filter to realize the internal and external fault identification. Although it shows a strong ability to withstand transitional resistance, it fails to discuss the performance of the criteria under the circumstances of data loss and noise interference.…”

Section: Introductionmentioning

confidence: 99%

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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“…Presently, the traveling-wave and voltage derivate protections are deployed as the main protection in the most of the HVDC transmission systems; also, backup protection in the HVDC systems is provided by under-voltage or currentdifferential protections [9,10]. However, the performance of the traveling-wave, voltage derivate and under-voltage protections can be easily affected by the location and impedance of the fault [11,12]. Even though the differential protection schemes provide a more reliable protection rather than others, it has a long delay which makes it unable to quickly detect the fault events [13].…”

Section: Introductionmentioning

confidence: 99%

“…The developed scheme protection mitigates the influence of the fault impedance, but it requires more complicated calculations. Moreover, references [11] and [16] employ the difference between the measured transient impedance for internal and external faults to present suitable protection schemes for HVDC transmission systems; however, the accuracy of these schemes is highly dependent of the length of the sampling window. In fact, in order to guarantee the adequate accuracy, a relatively long sampling window may be needed.…”

Section: Introductionmentioning

confidence: 99%

A novel traveling-wave-based protection scheme for LCC-HVDC systems using Teager Energy Operator

Wang

Mirsaeidi

Kang

et al. 2018

International Journal of Electrical Power & Energy Systems

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Line Commutated Converter (LCC) based High-Voltage Direct Current (HVDC) technology has been in operation with a high level reliability and little maintenance requirements for more than thirty years. The current-source based or classical LCC-HVDC systems are being considered for buried cable transmission as well as overhead transmission. The fault analysis and protection of LCC-HVDC system is a very important aspect in terms of power system stability. This paper proposes a novel protection scheme for LCC-HVDC systems, in which

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Transient measured impedance‐based protection scheme for DC line faults in ultra high‐voltage direct‐current system

Cited by 51 publications

References 29 publications

HVDC grid protection algorithm design in phase and modal domains

HVDC grid protection algorithm design in phase and modal domains

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

A novel traveling-wave-based protection scheme for LCC-HVDC systems using Teager Energy Operator

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