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A new method to identify voltage sag sources in power distribution network with harmonic is proposed, this method use the theory of EMD to decompose the voltage signals, and obtain a series of IMF. For different voltage sag sources, the IMF's complexities are not the same, so the concept of the EMD energy entropy character is proposed to measure these complexities. The analysis results show that the EMD energy entropy of three-phase voltage for transformer energization is largest; the single phase grounding fault is second; the induction motor starting is minimum, and is close to the normal voltage signals. Finally, combing with PNN to classify and identify voltage sag sources in power distribution network with harmonic, lots of simulation results show that the proposed method in this paper has a high accuracy, and is significantly better than BPNN classifier.

Classification and Identification of Voltage Sag Sources in Distribution Network with Harmonic