Short circuit power based fault location algorithm in distribution networks

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) Short circuit power based fault location algorithm in distribution networks. In: 2014 IEEE 8th International Power Engineering and Optimization Conference (PEOCO2014), 24-25 Mar. 2014, Langkawi, Kedah, Malaysia. (pp. 105-109).

Abstract

This paper presents a novel accurate fault location technique for the radial unbalanced distribution systems, based on measurement of the Short Circuit Power (S/C.P) peak values at the substation. To evaluate the gathered dataset, a Multi-Layer Feed Forward Neural Network (ML-FFNN) with the tuned parameters is designed and the locations of faults are estimated in low, medium and far distances from the source. The estimated distances are compared with the real fault locations to show the accuracy of estimations. The proposed method can work with the small scale datasets and it is capable of being implemented in distribution systems with several laterals.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/PEOCO.2014.6814408
Publisher:	IEEE
Keywords:	Fault location; Short circuit power (S/C.P); Distribution system; Intelligent algorithm
Depositing User:	Nursyafinaz Mohd Noh
Date Deposited:	17 Jun 2015 07:59
Last Modified:	20 Nov 2019 02:24
Altmetrics:	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6814408
URI:	http://psasir.upm.edu.my/id/eprint/38812
Statistic Details:	View Download Statistic

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