Power Distribution Network Disconnection Fault Diagnosis Using Data Mining Method

Zhang, Qi-Qi; Liu, Siyi; Zhang, Yan

doi:10.1109/isgt-asia.2019.8881320

Cited by 2 publications

(1 citation statement)

References 2 publications

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“…Moreover, extensive studies have been conducted to determine the voltage characteristics of the measuring equipment installed on a distribution line [12]- [14]. Further, several methods have been proposed to estimate the DPs in one branch of a distribution line by mining the system characteristics from the multisource data of distribution lines [15] and using machine learning with power, voltage, and current data [16]. Studies on the operation of relays depending on failure at the time of disconnection are underway [17].…”

Section: Introductionmentioning

confidence: 99%

Abnormal Detection Line Method to Estimate Disconnection Points in Power Distribution Lines

Kodama

Hayashi

2023

IEEE Trans. Power Delivery

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Natural phenomena such as gale, rain, and lightning cause disconnections, which can disrupt power distribution. Therefore, a method that can estimate the disconnection point (DP) in power distribution lines is needed to ensure public safety and a stable power supply. A simple DP detection method using a common earthing conductor is applied to both residential and industrial areas with only two distribution lines with interconnection points at the ends. However, this method cannot be used in rural areas that have distribution lines without interconnection points. Therefore, we propose a novel DP estimation method for use in distribution lines in rural areas. To this end, an abnormal detection line was installed along a long distribution line with branch lines and ammeters placed at its starting and end points. DP estimation was realized by calculating the time difference between the zero-crossing points of the current flowing in the two ammeters. The DP estimation effectiveness of the proposed method was validated by simulating long distribution lines. Thus, the proposed method can be used to improve the performance of the distribution lines in rural areas.

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Section: Introductionmentioning

confidence: 99%

Abnormal Detection Line Method to Estimate Disconnection Points in Power Distribution Lines

Kodama

Hayashi

2023

IEEE Trans. Power Delivery

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Data Mining and Analysis in Power and Energy Systems: An Introduction to Algorithms and Applications *

Lezama¹

2022

Intelligent Data Mining and Analysis in Power and Energy Systems

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Power Distribution Network Disconnection Fault Diagnosis Using Data Mining Method

Cited by 2 publications

References 2 publications

Abnormal Detection Line Method to Estimate Disconnection Points in Power Distribution Lines

Abnormal Detection Line Method to Estimate Disconnection Points in Power Distribution Lines

Data Mining and Analysis in Power and Energy Systems: An Introduction to Algorithms and Applications *

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