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A DC fault protection method for MMC-HVDC grids using modal voltage adaptive thresholds.
- Source :
-
Electric Power Systems Research . May2024, Vol. 230, pN.PAG-N.PAG. 1p. - Publication Year :
- 2024
-
Abstract
- • The 1-mode and 0-mode transient voltage integrals are analyzed in the pure-fault network. • A single-end protection method using adaptive thresholds is proposed for the MMC-HVDC grid. • The proposed method is sensitive to single-pole high-resistance faults and suitableness for weak boundaries. For the bipolar modular multilevel converter-based high voltage DC (MMC-HVDC) grids, single-end protection methods suffer from low sensitivity in detecting high-resistance faults (HRF). The performance further deteriorates in a weak boundary configuration. To improve the deficiency, this paper proposes a protection method with adaptive thresholds. First, an MMC simplified circuit, an internal fault analysis network, and a DC bus fault analysis network are presented in pure-fault networks. The integral characteristics for 1-mode and 0-mode voltage fault components are studied under different locations. It is discovered that the relative size for two modal voltage integrals is different for internal faults and DC bus faults. A new form of mathematical morphology filter is proposed to select the required integral time. With 1-mode and 0-mode voltage integral, the fault identification method using adaptive threshold is proposed as well as its setting method. Simulations of a four-terminal MMC-HVDC system built in PSCAD/EMTDC verify the effectiveness of the proposed method. The method can fast detect internal single-pole HRFs of different locations and operate reliability under active power reversal, AC-side faults, and noise interference. Compared to some existing methods, the proposed method can detect high-resistance faults under weak boundary configurations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 03787796
- Volume :
- 230
- Database :
- Academic Search Index
- Journal :
- Electric Power Systems Research
- Publication Type :
- Academic Journal
- Accession number :
- 176067939
- Full Text :
- https://doi.org/10.1016/j.epsr.2024.110118