A single-ended fault location method for segmented HVDC transmission line

Livani, Hanif; Evrenosoğlu, Cansin Yaman

doi:10.1016/j.epsr.2013.10.006

Cited by 77 publications

(69 citation statements)

References 30 publications

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“…the detection of the wave-head is very difficult, it is depending on high sampling frequency, it is vulnerable to interference signals, etc.) [24][25][26]. In fact, the main challenge in traveling wave-based fault location for combined overhead line and underground cable is faulty section identification.…”

Section: A High Frequency and Signal Processing Travelling Waves Anmentioning

confidence: 99%

“…In fact, the main challenge in traveling wave-based fault location for combined overhead line and underground cable is faulty section identification. This challenge is due to the reflections of the fault signal from the joint-point and the fault point as well as the unequal traveling wave velocities in line and cable [25]. For travelling wave theory based protection strategies, a very high sampling rate is also needed to reduce the error, which not easy to realize [27].…”

Section: A High Frequency and Signal Processing Travelling Waves Anmentioning

confidence: 99%

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DC protection in modern HVDC networks: VSC-HVDC and MTDC systems

Buigues¹,

Valverde²,

Larruskain³

et al. 2024

RE&PQJ

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Abstract. Considering the importance that HVDC systems are expected to have in the future of power networks, this paper aims to provide a wide overview of the protection against DC faults. In particular, it analyzes the detection and location techniques that have been proposed to date, focusing on the approaches that are set to be applied in modern HVDC networks, which comprise VSC-HVDC and MTDC systems.

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Section: A High Frequency and Signal Processing Travelling Waves Anmentioning

confidence: 99%

Section: A High Frequency and Signal Processing Travelling Waves Anmentioning

confidence: 99%

DC protection in modern HVDC networks: VSC-HVDC and MTDC systems

Buigues¹,

Valverde²,

Larruskain³

et al. 2024

RE&PQJ

View full text Add to dashboard Cite

show abstract

“…These intelligent methods, if implemented well, can be flexible and efficient in facing the control characteristics and the intrinsic features of HVDC systems under different operational conditions. In Livani and Evrenosoglu, besides the presented traveling‐waves–based fault‐location method, the support vector machine classifier has been utilized to determine the faulty segment (the underground cable or the overhead line) in HVDC systems. In this method, the discrete wavelet transform has been applied to the one‐end voltage and current measurements, and finally, the normalized wavelet energies have been used as inputs to the fault section classifier.…”

Section: Introductionmentioning

confidence: 99%

“…In Livani and Evrenosoglu, besides the presented traveling‐waves–based fault‐location method, the support vector machine classifier has been utilized to determine the faulty segment (the underground cable or the overhead line) in HVDC systems. In this method, the discrete wavelet transform has been applied to the one‐end voltage and current measurements, and finally, the normalized wavelet energies have been used as inputs to the fault section classifier. Tzelepis et al have employed the continuous wavelet transform and the Pearson correlation coefficient to design a pattern matching–based fault‐location approach for multiterminal HVDC networks.…”

Section: Introductionmentioning

confidence: 99%

Locating short-circuit faults in HVDC systems using automatically selected frequency-domain features

Farshad

2018

Int Trans Electr Energ Syst

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Summary In this paper, a novel fault‐location method is presented for high‐voltage direct current (HVDC) transmission lines based on the pattern recognition techniques and the machine learning strategies. In the proposed method, the voltage signal at one of the HVDC stations is stepped down via a resistive‐capacitive voltage divider (RCVD) and passed through an anti‐aliasing low‐pass active filter (LPAF). Then, the frequency spectrum is obtained by applying the discrete Fourier transform (DFT) to the postfault voltage signal. The input pattern for presenting to the fault‐location estimator is formed based on the most useful features selected from the extracted harmonic spectrum. In this paper, the regression relief (RReliefF) algorithm is utilized for automatic feature selection. Also, the random forest (RF) algorithm is used to build the fault‐location estimator founded on a group of regression decision trees. The method is applied for fault locating in a 700‐km‐long HVDC line considering various fault locations, short‐circuit resistances, prefault currents, and fault types. The obtained overall average of percentage errors in the fault‐location estimate for 1800 different unseen test cases is 0.188%, which confirms the accurate and good generalization performance of the presented method.

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“…However, even with the use of unsynchronized data, the method demands high sampling frequency as proposed in Yuangsheng et al 11 According to work proposed in previous studies, 9,12 they utilized single line data at high sampling frequency in the range of 80 and 100 kHz. Despite provision of fast response and higher accuracy; the method is not convincing as its reliability is adversely affected due to the necessity for accurate detection of surge arrival time and requirement of synchronized data of two terminals.…”

mentioning

confidence: 99%

A novel approach to estimate fault location in current source converter–based HVDC transmission line by Gaussian process regression

Ankar

Yadav

2019

Int Trans Electr Energ Syst

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Summary This paper presents a novel approach to estimate fault location in current source converter (CSC) based bipolar high‐voltage direct current (HVDC) transmission line by Gaussian process regression (GPR) algorithm. The proposed work uses AC voltage, DC current, and voltage on both poles available at only the rectifier end of the line as inputs to the proposed GPR model. A large number of simulations have been done using PSCAD to manifest the effectiveness and accuracy of the proposed algorithm to locate all types of faults in HVDC model. The attainment of the proposed algorithm is measured in terms of mean percentage error of 0.0414%, which conveys a very lesser value in comparison with traditional and recently studied methods in the literature. The validity of the efficacy of the GPR‐based scheme has been established by considering the effect of variation in the fault resistance and the presence of noise. The advantage of this scheme is that it does not require any communication link as it uses only rectifier end measurements.

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A single-ended fault location method for segmented HVDC transmission line

Cited by 77 publications

References 30 publications

DC protection in modern HVDC networks: VSC-HVDC and MTDC systems

DC protection in modern HVDC networks: VSC-HVDC and MTDC systems

Locating short-circuit faults in HVDC systems using automatically selected frequency-domain features

A novel approach to estimate fault location in current source converter–based HVDC transmission line by Gaussian process regression

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