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Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems

Title
Wavelet-based analysis and detection of traveling waves due to DC faults in LCC HVDC systems
Type
Article in International Scientific Journal
Year
2019
Authors
Daniel Marques da Silva
(Author)
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Flavio B. Costa
(Author)
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Vladimiro Miranda
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Helder Leite
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Journal
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Authenticus ID: P-00P-27Y
Abstract (EN): This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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