Single Pole-to-Ground Fault Analysis of MMC-HVDC Transmission Lines Based on Capacitive Fuzzy Identification Algorithm
Hongchun Shu,
Na An,
Bo Yang,
Yue Dai and
Yu Guo
Additional contact information
Hongchun Shu: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Na An: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Bo Yang: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Yue Dai: Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming 650500, China
Yu Guo: Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650500, China
Energies, 2020, vol. 13, issue 2, 1-18
Abstract:
The probability of a single pole-to-ground fault in high voltage direct current (HVDC) transmission lines is relatively high. For the modular multilevel converter HVDC (MMC-HVDC) systems, when a single pole-to-ground fault occurs, the fault current is small, and it is difficult to identify the fault quickly. Through a detailed analysis of the characteristics of the single pole-to-ground fault of the MMC-HVDC transmission line, it is found that the single pole-to-ground fault has obvious capacitance-related characteristics, and the transient process after the single pole-to-ground fault is the discharge process of the distributed capacitance of the line. However, other faults do not have such obvious capacitance-related characteristics. Based on such feature, this paper proposes a novel capacitive fuzzy identification method to identify the single pole-to-ground fault. This algorithm can effectively identify both the fault of single pole-to-ground and the fault pole, which can contribute to the large database of the future smart grid.
Keywords: modular multilevel converter; HVDC transmission lines; single pole-to-ground fault; capacitive fuzzy identification (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: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.mdpi.com/1996-1073/13/2/319/pdf (application/pdf)
https://www.mdpi.com/1996-1073/13/2/319/ (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:13:y:2020:i:2:p:319-:d:306702
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 ().