A Current Frequency Component-Based Fault-Location Method for Voltage-Source Converter-Based High-Voltage Direct Current (VSC-HVDC) Cables Using the S Transform
Pu Zhao,
Qing Chen,
Kongming Sun and
Chuanxin Xi
Additional contact information
Pu Zhao: Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China
Qing Chen: Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China
Kongming Sun: Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China
Chuanxin Xi: Key Laboratory of Power System Intelligent Dispatch and Control, Shandong University, Ministry of Education, Jinan 17923, China
Energies, 2017, vol. 10, issue 8, 1-15
Abstract:
This paper proposes a fault-location method for voltage-source converter (VSC)-based high-voltage direct current (VSC-HVDC) systems. This method relies on the current frequency components generated by faults in the cable, and requires the arrival time of the frequency components at two terminals. The S transform is a time–frequency analysis tool that is superior to the wavelet transform in some respects. Therefore, the S transform was employed to determine the arrival time in this paper. To obtain a reliable criterion, a novel phase-mode transform method for bipolar cables was developed, and the propagation characteristics of the current frequency components through out the cable were analyzed. A two-terminal VSC-HVDC system was modeled in power system computer aided design/electromagnetic transients including DC (PSCAD/EMTDC). Various faults under different conditions were simulated on the basis of this model, and the simulation results verified a high accuracy, robustness against fault-resistance, and noise immunity of the proposed method.
Keywords: current frequency component; DC cable; fault location; phase-mode transform; the S transform; VSC-HVDC (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.mdpi.com/1996-1073/10/8/1115/pdf (application/pdf)
https://www.mdpi.com/1996-1073/10/8/1115/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:10:y:2017:i:8:p:1115-:d:106453
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().