Integrated hardware system for power quality disturbance classification

Azah Mohamed, Mohamed E. Salem, Salina Abdul Samad

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Detection and classification of power quality (PQ) disturbances in real-time is an important consideration to electric utilities and many industrial customers so that diagnosis and mitigation of such disturbances can be implemented quickly. This paper presents the design and development of an integrated hardware system for classification of PQ disturbances using the rule based system. A hardware system has been designed using advanced digital signal processor to provide fast data capture and processing of signals using the S-transform analysis. Distinct features of various disturbances are extracted from the S-transform analysis in which these features are used to formulate rules. A rule based expert system is developed to automate the process of classifying the various types of disturbances. The disturbance classification results prove that the developed rule based system is more accurate than the neural network approaches in classifying PQ disturbances such as voltage sag, swell, impulsive transient, notching and interruption.

Original languageEnglish
Article number1
JournalInternational Journal of Emerging Electric Power Systems
Volume10
Issue number2
DOIs
Publication statusPublished - 23 Apr 2009

Fingerprint

Power quality
Knowledge based systems
Hardware
Mathematical transformations
Electric utilities
Digital signal processors
Expert systems
Data acquisition
Neural networks
Electric potential

Keywords

  • DSP
  • Power quality
  • Rule based system

ASJC Scopus subject areas

  • Energy Engineering and Power Technology

Cite this

Integrated hardware system for power quality disturbance classification. / Mohamed, Azah; Salem, Mohamed E.; Abdul Samad, Salina.

In: International Journal of Emerging Electric Power Systems, Vol. 10, No. 2, 1, 23.04.2009.

Research output: Contribution to journalArticle

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