On the fault location algorithm for distribution networks in presence of DG

Citation

Farzan, Payam and Izadi, Mahdi and Gomes, Chandima and Ab Kadir, Mohd Zainal Abidin and Hesamian, Mohammad Hesam and Mohd Radzi, Mohd Amran (2014) On the fault location algorithm for distribution networks in presence of DG. In: 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA), 20-23 May 2014, Berjaya Times Square Hotel, Kuala Lumpur, Malaysia. (pp. 652-656).

Abstract

Connecting distributed generation (DG) units to the distribute networks impose several impacts on it which have not been considered in conventional fault location algorithms. This paper presents an accurate fault location technique for unbalanced radial distribution networks based on evaluating measured values of short Circuit Current (S/C.C) at the source bus with a designed Multi-Layer Feed Forwarded Neural Network (ML-FFNN). The estimated locations of different fault types are compared with the actual distances and Average Difference Percentage (ADP) is calculated for each fault type. The designed neural network is able to work with small scale datasets. Hence the proposed method can be implemented in the real distribution networks.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/ISGT-Asia.2014.6873869
Publisher:	IEEE
Keywords:	Fault location; Distribution network; Distribution generation (DG); Short circuit current
Depositing User:	Nursyafinaz Mohd Noh
Date Deposited:	19 Jun 2015 07:53
Last Modified:	21 Nov 2019 08:09
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/ISGT-Asia.2014.6873869
URI:	http://psasir.upm.edu.my/id/eprint/38900
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