Recent Advances in Computer Science and Communications

Author(s): Roshni Rahangdale* and Archana Gupta*

DOI: 10.2174/0126662558269531231218052251

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

Article ID: e250124226280 Pages: 9

  • * (Excluding Mailing and Handling)

Abstract

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.

Keywords: Fault location, distribution systems, discrete wavelet transform, ensemble regression tree, power outage, artificial neural network.