A Quick Classification Method of the Power Quality Disturbances

Yi Yi Tang, Hao Liu

NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, China.
School of Information and Electrical Engineering, China University of Mining & Technology, Xuzhou, China.

DOI: 10.4236/eng.2014.67040                

Abstract

This paper introduces a quick classification method of the power quality disturbances. Based on analyzing the characteristics of different electrical disturbance signals in time domain, four distinctive features are extracted from electrical signals for classifying different power quality disturbances and then an automatic classifier is proposed. Using the proposed classification method,a PQ monitor of the classifying power quality disturbances is developed based on the TMS320F2812DSP micro-processor. Semi-physical simulation, lab experiment and field measurement results have verified that this proposed method can classify single or complex disturbance signals effectively.

Keywords

Power Quality, Disturbance Classification, Noise

Conflicts of Interest

The authors declare no conflicts of interest.

References

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