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Journals / Turkish Journal of Electrical Engineering and Computer Science / 2012 / Cilt: 20 - Sayı: 6

A hybrid approach for power quality monitoring

Okan ÖZGÖNENEL
Ümit Kemalettin TERZİ
Abdesh KHAN
Pages
854–869
Publication Date
2012-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The test results demonstrate the potential of the proposed hybrid technique for PQM andPQ assessment.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents a novel hybrid approach for detection of power quality (PQ) disturbances.
📊
Key Findings & Data:The proposed PQ monitoring (PQM) software uses 3-phase voltage and current signals in order to detect possible power disturbances such as voltage sag, flicker, harmonics, transients, DC component, and electromagnetic interference.
💡
Conclusion & Impact:The test results demonstrate the potential of the proposed hybrid technique for PQM andPQ assessment.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Power quality · discrete wavelet transform · principal component analysis

Abstract

This paper presents a novel hybrid approach for detection of power quality (PQ) disturbances. The proposed hybrid algorithm is based on applications of principle component analysis, discrete wavelet transform, and fast Fourier transform on voltage and current waveforms. The proposed PQ monitoring (PQM) software uses 3-phase voltage and current signals in order to detect possible power disturbances such as voltage sag, flicker, harmonics, transients, DC component, and electromagnetic interference. The test results demonstrate the potential of the proposed hybrid technique for PQM andPQ assessment.

Özet

This paper presents a novel hybrid approach for detection of power quality (PQ) disturbances. The proposed hybrid algorithm is based on applications of principle component analysis, discrete wavelet transform, and fast Fourier transform on voltage and current waveforms. The proposed PQ monitoring (PQM) software uses 3-phase voltage and current signals in order to detect possible power disturbances such as voltage sag, flicker, harmonics, transients, DC component, and electromagnetic interference. The test results demonstrate the potential of the proposed hybrid technique for PQM andPQ assessment.

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Cite This Article

ÖZGÖNENEL, O., TERZİ, Ü. K., KHAN, A. (2012). A hybrid approach for power quality monitoring. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 20 - Sayı: 6, 854–869. https://ajindex.com/articles/188723

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