LINE FAULT MONITORING OF DC MICROGRID BASED ON EMD-MDT

Wang Xiaodong; Wang Ruojin; Liu Yingming; Gao Xing

doi:10.19912/j.0254-0096.tynxb.2021-0357

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Acta Energiae Solaris Sinica ›› 2022, Vol. 43 ›› Issue (11) : 522-528. DOI: 10.19912/j.0254-0096.tynxb.2021-0357

LINE FAULT MONITORING OF DC MICROGRID BASED ON EMD-MDT

Wang Xiaodong, Wang Ruojin, Liu Yingming, Gao Xing

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Abstract

An empirical mode decomposition（EMD） and decision trees（DT） based fault detection and classification method for distribution lines of wind solar energy storage DC microgrid is proposed. This method decomposes the DC current measured by the transmitter through empirical mode decomposition（EMD） to obtain multiple intrinsic mode functions（IMFs）. The maximum weighted correlation coefficient method is used to calculate and select the two IMFs with the highest sensitivity. The statistical method is applied to the eigenmode function to generate the fault characteristic value, and finally based on the decision tree, the accurate detection and classification of the wind-solar DC micro-grid distribution line is realized. The analysis of the calculation example shows that the wind-solar DC microgrid distribution line fault detection method based on empirical mode decomposition can detect and classify the distribution line faults quickly and effectively without being affected by the fault resistance, the starting time of the fault and the fault distance.

Key words

DC microgrid / fault currents / fault detection / decision trees / maximum weighted correlation coefficient

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Wang Xiaodong, Wang Ruojin, Liu Yingming, Gao Xing. LINE FAULT MONITORING OF DC MICROGRID BASED ON EMD-MDT[J]. Acta Energiae Solaris Sinica. 2022, 43(11): 522-528 https://doi.org/10.19912/j.0254-0096.tynxb.2021-0357

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