A Novel DWT-ERT-based Fault Location for Distribution Network

被引：0
作者：
Rahangdale R. [1 ]
Gupta A. [1 ]
机构：
[1] Department of Electrical Engineering, Bhilai Institute of Technology Durg, Durg
来源：
Recent Advances in Computer Science and Communications | 2024年 / 17卷 / 03期
关键词：
artificial neural network; discrete wavelet transform; distribution systems; ensemble regression tree; Fault location; power outage;
D O I：
10.2174/0126662558269531231218052251
中图分类号：
学科分类号：
摘要：
Background: A new DWT-ERT-based fault location method is suggested in the IEEE test feeder. Objective: The fault location approach in the distribution network has been proposed in this paper that utilizes the discrete wavelet transform (DWT) and ensemble regression tree (ERT). Methods: The fault location methodology has been validated by simulations conducted on an IEEE 13 bus node test feeder. Results: The results show that the suggested solution has low compute burden and memory requirements, and is unaffected by system and fault situations. Conclusion: In this study, the fault location approach for the distribution system employing DWT and ERT has been proposed. © 2024 Bentham Science Publishers.
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页码：11 / 19
页数：8
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