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2022
DOI: 10.11591/ijeecs.v25.i1.pp14-24
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A simple faulted phase-based fault distance estimation algorithm for a loop distribution system

Abstract: This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phase-based filtered signals can be obtained by using phase-modal and discrete wavelet transformations. The estimated fault distance can be ca… Show more

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Cited by 2 publications
(2 citation statements)
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References 23 publications
(35 reference statements)
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“…The researcher examined the use of a traveling wave fault localization technique to identify faults in a loop distribution system using single ended fault detection. The suggested technique may be implemented in a 10 KV distribution system with a distance location accuracy of 99.7% and a signal-to-noise ratio of 30 db [25]. Chiradeja and Ngaopitakkul [26] presented a technique for identifying and pinpointing winding to ground problems in power transformers.…”
Section: Introductionmentioning
confidence: 99%
“…The researcher examined the use of a traveling wave fault localization technique to identify faults in a loop distribution system using single ended fault detection. The suggested technique may be implemented in a 10 KV distribution system with a distance location accuracy of 99.7% and a signal-to-noise ratio of 30 db [25]. Chiradeja and Ngaopitakkul [26] presented a technique for identifying and pinpointing winding to ground problems in power transformers.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, in real-time application, there will be multiple approaches as clear out or reading data from or to an individual Kafka client [14]. The synchronization of various threads minimizes the benchmark tool's robustness and it does not capable to clear out the amount of data to the Kafka client [15]. But in these research, additional process for performance improvement is automatically intricate a process like consumed much memory or computation cost.…”
Section: Introductionmentioning
confidence: 99%