In order to improve the reliability of distribution network operation,a method of detecting high resist-ance fault based on dynamic kernel independent component statistical divergence was proposed.Firstly,the lag coeffi-cient was combined with the kernel independent component analysis to obtain the dynamic kernel independent compo-nent analysis algorithm.Then,Wasserstein divergence was introduced into the T2 statistic to form a discriminant statis-tic of dynamic independent component divergence,thus measuring the difference of probability distribution among dy-namic kernel multivariate independent components.Finally,the discriminant condition composed of the statistic am-plitude and the exceed time was used to distinguish the results of the statistic metrics,thus achieving high resistance fault detection.Simulation results show that the proposed method can accurately detect different types of high resist-ance faults,and has higher effectiveness and feasibility.
关键词
配电网/高阻故障/故障检测/散度/动态核独立成分分析
Key words
Distribution network/High resistance fault/Fault detection/Divergence/Dynamic nuclear independ-ent component analysis
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