Classification of Voltage Sag due to Faults and Induction Motor Starting

This paper focus on events, that causes a temporary decrease in the magnitude of voltage at power frequency. The paper aims at characterization of voltage sags due to faults and induction motor starting. The modified IEEE distribution system is considered for study and same is simulated using PSCAD. The signals for features extraction are processed using Wavelet transform. The Statistical parameters computed from detailed level 4 (D-4) are used as an input to classifier. Multilayer perceptron network is used as a classifier to differentiate the cause behind the voltage sag.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-29
DOI
https://doi.org/10.5281/zenodo.17760154
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.00
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article

Classification of Voltage Sag due to Faults and Induction Motor Starting

Zenodo (CERN European Organization for Nuclear Research)
Power Quality and Harmonics
article

Classification of Voltage Sag due to Faults and Induction Motor Starting

article en

Abstract

This paper focus on events, that causes a temporary decrease in the magnitude of voltage at power frequency. The paper aims at characterization of voltage sags due to faults and induction motor starting. The modified IEEE distribution system is considered for study and same is simulated using PSCAD. The signals for features extraction are processed using Wavelet transform. The Statistical parameters computed from detailed level 4 (D-4) are used as an input to classifier. Multilayer perceptron network is used as a classifier to differentiate the cause behind the voltage sag.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 47%
Power Quality and Harmonics
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Classification of Voltage Sag due to Faults and Induction Motor Starting · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS