Power Quality Disturbances Detection Based on EMD

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


The power quality (PQ) disturbance signals have the characteristics of short duration and strong randomness, and often form complex disturbances, which make the disturbance signals difficult to detect and identify. In this paper, EMD algorithm is introduced to decompose the PQ disturbance signals and calculate the intrinsic mode function (IMF) of the disturbance signals. Then, Hibert transform are performed for each IMF to obtain the characteristic information of the disturbance signal. EMD transform is used to detect the type, duration, frequency and amplitude of PQ disturbances. To verify the effectiveness of the algorithm, several kinds of PQ disturbance signals are simulated with transient harmonic, voltage interruption, voltage drop and voltage surge and complex disturbances. Experimental results show that the algorithm can accurately detect power quality interferences. This paper provides a new method for the detection of PQ disturbances and a new idea for the power management.


Power quality Intrinsic mode function Empirical mode decomposition HHT 



This study is supported by Provincial Natural Science Foundation of Anhui (KJ2018A0618).


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Hohai University Wentian CollegeMa’anshanChina

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