Review of different fault detection methods and their impact on pre‐emptive VSC‐HVDC dc protection performance

Chang, Bin; Cwikowski, Oliver; Barnes, Mike; Shuttleworth, R.; Beddard, Antony; Coventry, P.F.

doi:10.1049/hve.2017.0024

Cited by 40 publications

(22 citation statements)

References 30 publications

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“…Over current protection is also being used for fault estimation in MT-HVdc systems [112,113]. In this technique, value of the current is measured and observed.…”

Section: Non-traveling Wave (Ntw) Methods Based On Over Currentmentioning

confidence: 99%

MT–HVdc Systems Fault Classification and Location Methods Based on Traveling and Non-Traveling Waves—A Comprehensive Review

et al. 2019

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Estimation of fault classification and location in a multi-terminal high voltage direct current (MT–HVdc) transmission system is a challenging problem and is considered to be a fundamental maneuver of dc grid protection. This research paper critically reviews traveling and non-travelling wave methods of classification and location of dc faults in multi-terminal HVdc transmission systems. Detailed mathematical analysis of MT–HVdc systems composed of high grounding resistance, cable and overhead line segments, and bipolar coupled transmission network under healthy and faulty conditions, are evaluated. The gravity of this research paper addresses benefits and shortcomings of traveling and non-traveling wave methods and futuristic techniques of fault classification and location.

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“…Over current protection is also being used for fault estimation in MT-HVdc systems [112,113]. In this technique, value of the current is measured and observed.…”

Section: Non-traveling Wave (Ntw) Methods Based On Over Currentmentioning

confidence: 99%

MT–HVdc Systems Fault Classification and Location Methods Based on Traveling and Non-Traveling Waves—A Comprehensive Review

et al. 2019

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“…The principle is the same as in overcurrent method, but the magnitude of the derivative of the current is used instead. However, the method is susceptible to noise and might suffer from the collection of incorrect data samples [12]. Moreover, di/dt for remote internal faults with large fault resistance may be lower than di/dt for external faults [13].…”

Section: DC Fault Detectionmentioning

confidence: 99%

Review and Evaluation of the State of the Art of DC Fault Detection for HVDC Grids

Psaras

Emhemed

Adam

et al. 2018

2018 53rd International Universities Power Engineering Conference (UPEC)

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This paper reviews the state of the art of DC fault discrimination and detection methods of HVDC grids, and summarises the underlying principles and the characteristics of each method. To minimize HVDC grid disturbance and power transfer interruption due to DC faults, it is critically important to have protection schemes that can detect, discriminate and isolate DC faults at high speeds with full selectivity. On this basis, this paper lists the advantages and disadvantages of the most promising fault detection methods, with the aim of articulating the future directions of HVDC protection systems. From the qualitative comparison of relative merits, the initial recommendations on HVDC grid protection are presented. Moreover, a comprehensive quantitative assessments of different fault detection methods discussed above are carried out on a generic 4-terminal meshed HVDC grid, which is modelled in PSCAD environment. The presented simulation results identify that the voltage derivative and wavelet transform are the most promising methods for DC fault detection and discrimination.

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“…After identification of the fault section, the proposed fault location method can be implemented. First, using Equation (12), the distance from P 1 (P f ) is calculated by l = 240 + 2.9242 × 10 5 × (10.295 − 10.570) × 10 −3 2 = 79.792km (18) where L PfPs = 240 km and L PfO = 130 km. According to the proposed fault location method, the marginal errors 0.5%L PfO = 0.65 and ∆ = 50.208 > 0.65 are calculated in this case.…”

Section: Test Case 1: Ag Fault In Overhead Line Segmentmentioning

confidence: 99%

“…With the application of high-frequency transient recorders (TRs), traveling-wave methods have become more widely used in practice [17]. Different fault detection methods and their impact are reviewed in terms of protection performance in [18]. Wavelet transform has proved to be the best option for fault detection.…”

mentioning

confidence: 99%

Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods

Ning

Wang

et al. 2018

Energies

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Traveling-wave-based fault location methods are widely used for modern power systems owing to their high accuracy on two-terminal lines. However, they perform poorly on hybrid multi-terminal lines. Many traveling-wave-based methods have been developed recently to solve this problem, but they have high computational burdens and complex fault location procedures. To tackle this challenge, a new fault location method is presented in this paper. First, to ensure that the implementation of the proposed method is not affected by different line parameters, a normalization algorithm is used for hybrid multi-terminal lines, which consist of overhead lines and cables. To reduce the complexity, a novel fault section identification method that depends only on the first three arrival times is applied to separate a three-terminal fault section from the multi-terminal lines. Consequently, the fault can be located using a corresponding two-terminal fault location method in this fault section. To verify its effectiveness, fault case studies and performance evaluations are performed in the PSCAD and MATLAB/Simulink environment. The simulation results reveal that the proposed method can correctly identify the fault section and accurately locate the faults, which is simple and suitable for hybrid multi-terminal lines.Energies 2018, 11, 1105 2 of 18 matrix models for unbalanced three-phase line is described to analyse ground fault current and also to handle unsymmetrical faults with hybrid compensation for microgrid distribution systems. However, there are major errors in impedance-based fault location, mainly caused by fault resistance, line asymmetry, capacitive effect, or current transformer saturation [15]. Thus, traveling-wave-based methods have been widely used to avoid these drawbacks. The traveling-wave fault location methods based on transient-state analysis are more accurate than the impedance-based methods, because the accuracy of the former depends mainly on the sampling rates of the data acquisition system [16]. With the application of high-frequency transient recorders (TRs), traveling-wave methods have become more widely used in practice [17]. Different fault detection methods and their impact are reviewed in terms of protection performance in [18]. Wavelet transform has proved to be the best option for fault detection. In the traveling-wave methods, discrete wavelet transformation (DWT) is also frequently used to extract fault-induced transient signals. Artificial intelligence-based methods are often used for fault classification [8] and fault section identification. Combined with the relays and protection, an application of enhanced honey-bee mating optimization is proposed to solve the fault section estimation in [19].Among the traveling-wave-based methods, the classical one-terminal method requires the identification of the traveling wave from the fault point [20], which is difficult to perform, particularly for multi-terminal lines. In [21], a classical two-terminal fault location method is presented where the mea...

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Review of different fault detection methods and their impact on pre‐emptive VSC‐HVDC dc protection performance

Cited by 40 publications

References 30 publications

MT–HVdc Systems Fault Classification and Location Methods Based on Traveling and Non-Traveling Waves—A Comprehensive Review

MT–HVdc Systems Fault Classification and Location Methods Based on Traveling and Non-Traveling Waves—A Comprehensive Review

Review and Evaluation of the State of the Art of DC Fault Detection for HVDC Grids

Location of Faulty Section and Faults in Hybrid Multi-Terminal Lines Based on Traveling Wave Methods

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