Power quality disturbance detection using DSP based continous wavelet transform

E. Salem Mohammed, Azah Mohamed, Salina Abdul Samad

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This research presents a Digital Signal Processor (DSP) based prototype instrument to provide real-time detection of power disturbances that can be used to perform quick power quality monitoring. The proposed instrument uses the Texas Instrument TMS320C6711DSP starter kit (DSK) with a TI ADS8364EVM 250-kHz, 16-bit, 6-channel analog digital converter mounted on the daughter card. For real-time detection of power disturbances, the continuous wavelet transform is used to detect different types of disturbances such as voltage sag, swell, transient, interruption and harmonics. The results of analysis show that the implementation of continuous wavelet transform algorithm in DSP-based system provide accurate and fast detection of power disturbances.

Original languageEnglish
Pages (from-to)893-902
Number of pages10
JournalJournal of Applied Sciences
Volume7
Issue number6
Publication statusPublished - 15 Mar 2007

Fingerprint

Digital signal processors
Power quality
Wavelet transforms
Starters
Monitoring
Electric potential

Keywords

  • Digital signal processor
  • Instrumentation
  • Power quality
  • Real-time
  • Wavelet signal processing

ASJC Scopus subject areas

  • General

Cite this

Power quality disturbance detection using DSP based continous wavelet transform. / Mohammed, E. Salem; Mohamed, Azah; Abdul Samad, Salina.

In: Journal of Applied Sciences, Vol. 7, No. 6, 15.03.2007, p. 893-902.

Research output: Contribution to journalArticle

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