2018
DOI: 10.1002/tee.22596
|View full text |Cite
|
Sign up to set email alerts
|

Mathematical morphology‐based single phase‐to‐ground fault feeder selector for a resonant grounded distribution system

Abstract: In this letter, we present a new single phase-to-ground fault feeder selector for a resonant grounded distribution system based on mathematical morphology. A combined morphological filter, which is the average of open-closing and close-opening, is employed to extract the transient component and decaying DC component from the zero-sequence current signal of each feeder. Afterward, two indices are introduced to measure these components and to distinguish the fault feeder from healthy feeders. Simulation studies … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 3 publications
0
5
0
Order By: Relevance
“…where S 1 kj and S 2 kj are the similarities of feeder k and arbitrary feeder j at the first and second stages, respectively; S 1 kmax and S 2 kmax are the maximum values of the similarity between feeder k and the other feeder at the first and second stages, respectively; and K is the total number of feeders. The formula used for this calculation is presented in (10).…”
Section: B Proposed Fault Feeder Identification Methods Involving Secondary Faultmentioning
confidence: 99%
See 1 more Smart Citation
“…where S 1 kj and S 2 kj are the similarities of feeder k and arbitrary feeder j at the first and second stages, respectively; S 1 kmax and S 2 kmax are the maximum values of the similarity between feeder k and the other feeder at the first and second stages, respectively; and K is the total number of feeders. The formula used for this calculation is presented in (10).…”
Section: B Proposed Fault Feeder Identification Methods Involving Secondary Faultmentioning
confidence: 99%
“…For a more comprehensive understanding of this phenomenon, a range of transient signal based algorithms have been investigated extensively in recent years [7]. In general, the wavelet transform [8], S-transform [9], mathematical morphology [10], and Hilbert-Huang transform [11] are routinely used for extracting transient features of the zero-sequence current. In [12], the amplitude and polarity information of the transient zero-sequence current has been used to form the detection criteria.…”
Section: Introductionmentioning
confidence: 99%
“…To be free from the transient process interference, the extracted equivalent admittances must be the power frequency quantity. It needs (3)(4)(5) τ to enter the steady-state after faults, and τ is the network time constant, which is determined by the network admittance parameters [25].…”
Section: Figure 4 Simulation Modelmentioning
confidence: 99%
“…To ensure personal, equipment safety and power supply reliability for users, the medium and low voltage distribution networks in China, Japan and some European countries usually adopt neutral non‐effective grounding operation, which mainly includes neutral ungrounded mode (NUM), neutral resonance grounding mode (NRGM) and neutral pure‐resistance grounding mode (NPRGM) [2]. The distribution network with the above neutral modes has the advantages of small fault current and symmetrical line voltage when SPGF occurs [3]. However, during the fault, the normal phase voltage (NPV) rises to near the line voltage.…”
Section: Introductionmentioning
confidence: 99%
“…The FLS methods based on transient information are expected to further improve the accuracy of FLS in distribution networks, and have been a focus for relevant researchers in recent years. FLS methods based on transient information have been proposed, such as high-frequency component [13], wavelet transform [14,15], neural network [16], expert system [17], extreme learning machine [18], zero-sequence reactive power method [19], transient energy method [20,21] etc. Moreover [22] and [23] discussed synthesis algorithms for FLS.…”
Section: Introductionmentioning
confidence: 99%