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Proceedings ArticleDOI

An EMD Based Protection Scheme for Distribution System

TLDR
A protection scheme which makes use of Empirical Mode Decomposition of three phase current signals of a distribution network and establishes selectivity by testing the algorithm with non faulty transients such as load switching and capacitor switching.
Abstract
Fast identification and classification of the faults in distribution network is a crucial task to ensure reliable power supply to the end user. This paper presents a protection scheme which makes use of Empirical Mode Decomposition of three phase current signals of a distribution network. The current signals measured at the substation bus over a moving window of one cycle are decomposed to obtain first level intrinsic mode function IMF 1 and residue R 1 . A fault index which is nothing but the absolute mean of R 1 is calculated for each phase and compared with a threshold to detect and categorize the type of fault. The proposed algorithm has been successfully tested on IEEE 13 bus system by varying the type of fault, fault incidence angle and fault location. The selectivity of the proposed scheme has been established by testing the algorithm with non faulty transients such as load switching and capacitor switching.

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Citations
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Proceedings ArticleDOI

Empirical Mode Decomposition with Hilbert Transform for power quality assessment

TL;DR: In this paper, the authors developed a method based on combination of empirical mode decomposition (EMD) and Hilbert transform for assessment of power quality events, which can be conceived as superimposition of various oscillating modes and EMD is used to separate out these intrinsic modes known as intrinsic mode functions (IMF).
Journal ArticleDOI

An EMD and Decision Tree-Based Protection Algorithm for the Solar PV Integrated Radial Distribution System

TL;DR: The proposed fault identification technique makes use of the empirical mode decomposition of three-phase current signals of a distribution network to detect, classifying, and locating faults with DG penetration in the presence of noise within half cycle.
Journal ArticleDOI

Hilbert-Huang transform and decision tree based islanding and fault recognition in renewable energy penetrated distribution system

TL;DR: A fast protection algorithm based on Hilbert-Huang transform (HHT) is proposed in this article for islanding and fault detection, classification, and location in a distribution system penetrated by a solar renewable energy source.
References
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Journal ArticleDOI

Application of Gabor–Wigner transform to inspect high-impedance fault-generated signals

TL;DR: In this article, the Gabor-Wigner transform was adopted to explore the electric signals generated by high-impedance faults (HIFs) to detect nonstationary signals and featuring high resolutions, while the effects of cross-term problem of Wigner distribution can be meanwhile decreased.
Journal ArticleDOI

Fault classification in SEIG system using Hilbert-Huang transform and least square support vector machine

TL;DR: In this article, the transient performance analysis of self excited induction generator (SEIG) during both balanced and unbalanced faults using stationary frame d-q axis is presented. And the importance of fault detection and fault classification is also investigated in this study.
Proceedings ArticleDOI

Transmission line protection scheme using Wavelet based alienation coefficients

TL;DR: In this paper, a wavelet-based technique was proposed to detect and classify various faults on transmission line, which was able to discriminate non-fault transients such as capacitance, inductance and load switching from fault transients.
Proceedings ArticleDOI

Condition monitoring of Internal Combustion engines using empirical mode decomposition and Morlet wavelet

TL;DR: Morlet wavelet based denoising eliminates the noise and improves the SNR significantly and Back Propagation is used further for classification of faulty and healthy IC engines.
Proceedings ArticleDOI

A wavelet based protection scheme for distribution networks with Distributed Generation

TL;DR: In this article, the authors presented a protection scheme based on the Wavelet Transforms for the detection of the faults with and without DGs, where faults are simulated at each bus and the fault currents are analyzed with Haar wavelet to obtain detail coefficients of single level decomposition Fault indices are calculated based on d-coefficients and compared with threshold for detecting the fault.
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