Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System

Muzzammel, Raheel

doi:10.3390/en12193614

Cited by 32 publications

(14 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the modern practical solution for TW-based fault location, the single-end impedance method and the doubleend TW method are combined [15]. However, impedancebased methods in DC networks are restricted due to low inertia characteristics and difficulties in impedance evaluation [16]. Moreover, the TW-based method with a short data window has an evident advantage due to its stringent requirement of protection speed in HVDC systems.…”

Section: B Motivationmentioning

confidence: 99%

Combined Line Fault Location Method for MMC–HVDC Transmission Systems

et al. 2020

View full text Add to dashboard Cite

A combined algorithm based on traveling wave (TW) theory and time-frequency characteristics is proposed to estimate the DC line fault location in modular multilevel converter-high voltage direct current (MMC-HVDC) systems. The relationship between instantaneous frequency and TW propagation velocity is analysed, and the local voltage signal is utilized to extract fault features. A TW distortion-based scheme is improved to obtain the approximate fault location and accurately detect TW arrival times. The arrival times of the initial TW from the fault point and opposite terminal are determined using intrinsic mode functions under variational mode decomposition. Given the attenuation property of the TW-based method, the Teager energy operator is used to overcome the weakness in fault feature extraction. The instantaneous frequency of the TW front is obtained via ensemble empirical mode decomposition and Hilbert-Huang transform. The fault location is predicted with the detected TW arrival times and corresponding TW propagation velocity. The effectiveness and superiority of this method are verified through simulations in PSCAD/EMTDC and computation in MATLAB.

show abstract

Section: B Motivationmentioning

confidence: 99%

Combined Line Fault Location Method for MMC–HVDC Transmission Systems

et al. 2020

View full text Add to dashboard Cite

show abstract

“…This is because of very small difference in the magnitude of voltages and currents during post fault conditions. Therefore, there is always a requirement of an additional technique like Fourier transform [123], wavelet transform [55][56][57][58], linear discriminant analysis [124], Naïve Bayes techniques [125], etc. to distinguish between internal and external faults.…”

Section: Non-traveling Wave (Ntw) For External and Internal Faultsmentioning

confidence: 99%

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

et al. 2019

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…[18,19]. The method is heavily dependent on the first traveling wave head [20]. Figure 1 provides the direction traveling waves of the voltage-mode component.…”

Section: Introductionmentioning

confidence: 99%

Fault Location Method in Nonsolid-Earthed Network Based on Spatial Domain Image Fusion and Convolution Neural Network

Hou

Guo

2022

Journal of Sensors

View full text Add to dashboard Cite

Given that the single-terminal traveling wave location method has significant errors, a novel fault location method based on the spatial domain image fusion and convolutional neural network (CNN) is proposed. Firstly, the three-phase traveling wave can be decoupled by the phase-mode transformation matrix for obtaining the line-mode component of the traveling wave. Secondly, the 1D line-mode traveling wave can be converted into a 2D image by the Gramian angular field (GAF). The 1D line-mode component can be mapped into the color, point, line, and other characteristic parameters of the 2D image. In order to expand the invisible information of the line-mode traveling wave, the images obtained by the Gramian angular summation field (GASF) and Gramian angular difference field (GADF) are weighted and fused. Finally, the CNN can be used to autonomously mine the characteristic parameters of the weight-fusion image and realize fault location. The simulation results show that the proposed method does not need to be considered in the traveling wave head and the traveling wave speed. The localization method is not affected by fault time, fault distance, or transition resistance factors. It possesses high reliability with an absolute range error of no more than 200 m.

show abstract

Traveling Waves-Based Method for Fault Estimation in HVDC Transmission System

Cited by 32 publications

References 50 publications

Combined Line Fault Location Method for MMC–HVDC Transmission Systems

Combined Line Fault Location Method for MMC–HVDC Transmission Systems

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

Fault Location Method in Nonsolid-Earthed Network Based on Spatial Domain Image Fusion and Convolution Neural Network

Contact Info

Product

Resources

About