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《Power System Protection and Control》 2011-22
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Inrush current recognition in power transformer based on modified principal component analysis

WANG Zeng-ping, WANG Xue (Department of Electric Engineering,North China Electric Power University,Baoding 071003, China)  
The theoretical basis of using the method of principal component analysis (PCA) to identify transformer magnetic inrush currents is analyzed. Each set of sample data can be viewed as a point in sample space, the sample space is transformed to a new space using PCA, and a direction in which the distribution difference of sample data is the maximum under different transformer states is determined, and the projection values in the direction of the sample data are used to identify inrush currents and fault current. Based on the analysis of the shortcomings of conventional PCA,the new data perprocessing method and the concept of separating degree are presented,based on separating degree,principal components are selected to establish inrush currents identification criterion. Digital simulations results show that this method has sufficient sensitivity and reliability. Comparing with the secondary harmonic restraint principle and the dead angle principle, the presented method has better performance.
【Fund】: 国家自然科学基金项目(50777016)~~
【CateGory Index】: TM407
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