4.8 Article

HilbertHuang Transform Based Transient Analysis in Voltage Source Converter Interfaced Direct Current System

Journal

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 68, Issue 11, Pages 11014-11025

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2020.3038056

Keywords

Fault detection; Time-frequency analysis; Sensitivity; Power conversion; Converters; Transient analysis; Resistance; DC grid; dc power system; fault detection; Hilbert-Huang transform (HHT); instantaneous energy density level (IEDL); time-frequency analysis; voltage source converter based high-voltage direct current (VSC-HVdc)

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This article analyzes the feasibility of using Hilbert-Huang transform (HHT) for fault detection in VSC-based high-voltage direct current systems, with a focus on using instantaneous energy density level as the fault detection criterion. The proposed method demonstrates an effective response delay within 2 ms after fault inception, outperforming other popular frequency-domain based fault detection methods.
Due to the rapid discharging of the dc-link capacitors, the short-circuit fault normally results in a fast-growing transient current in the voltage source converter (VSC) based dc power system. Therefore, a fast and sensitive fault detection method is required. In this article, the feasibility of Hilbert-Huang transform (HHT) for fault detection in VSC-based high-voltage direct current systems is analyzed. The instantaneous energy density level is used as the fault detection criterion, which emphasizes the fault characteristics in a predefined frequency range and suppresses the effect of steady-state ripple components. The theory of the proposed HHT-based fault detection method is presented in detail. Its effectiveness is tested on an OPAL-RT based multiterminal dc system and a point-to-point experimental dc system. A response delay within 2 ms after the fault inception is achieved. The comparison with other popular frequency-domain based fault detection methods including the wavelet transform, the short-time Fourier transform, the S transform, and the existing HHT-based analysis, using amplitude frequency coefficient as detection criterion, underlines the performance of the proposed method.

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