2020
DOI: 10.1007/s42835-020-00447-0
|View full text |Cite
|
Sign up to set email alerts
|

Design and Implementation of Overcurrent Protection Relay

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 16 publications
(3 citation statements)
references
References 20 publications
0
3
0
Order By: Relevance
“…Based on MATLAB, they introduced the modeling and simulation methods of the protection system and provided actual test results for different faults. Results found that relay protection could quickly respond to steady-state faults, distinguish the fault states, and isolate the faulty section without affecting other networks [ 15 ]. Abdel-Salam et al (2017) proposed a multifunctional digital relay.…”
Section: Literature Researchmentioning
confidence: 99%
“…Based on MATLAB, they introduced the modeling and simulation methods of the protection system and provided actual test results for different faults. Results found that relay protection could quickly respond to steady-state faults, distinguish the fault states, and isolate the faulty section without affecting other networks [ 15 ]. Abdel-Salam et al (2017) proposed a multifunctional digital relay.…”
Section: Literature Researchmentioning
confidence: 99%
“…To detect the fault current, it must firstly compare the alternating current value (I) of frequency (f) entering the OCR with the pre-set current constant value of the latter. For this, it is mandatory to convert the fundamental sinusoidal filtered signal of the current into DC form [14,15], and by measuring its slope (S) at zero crossing we obtain its peak value (I f ) as follows.…”
Section: Introductionmentioning
confidence: 99%
“…Several studies in many of last year's technique-based research have set out aims for effective HIF detection. These techniques involve the algorithm of frequency-time [11], multi-layer, neural-network feed-forward type [12], the Kalman-filter approach [13], the ratio of low order harmonics [14]. Wavelet transform WT has been extensively utilized for signal processing for its ability to detect the component of frequency and its position with time [15].…”
Section: Introductionmentioning
confidence: 99%