An Identification Method for Transient Capacitive Current of Distribution Network by ICMAC

Capacitive current is an important influential ingredient for extinguishing electric arc, which comes into being when single phase ground fault occurs in resonance networks. In order to seize transient capacitive current´s characters, two identification methods are presented using back propagation (BP) neural network and novel improved cerebellar model articulation controller network (ICMAC) separately. With two methods, the maximal amplitude and the minimal amplitude of transient capacitive current can be identified, occurring time of transient capacitive current amplitude can be confirmed as well as. These methods were proved by simulation with Matlab, the simulating results indicate that this novel ICMAC network makes learning identification speed faster and identification precision higher than normal BP network, through adjusting learning factor dynamically. Effective identification of transient capacitive current´s characteristics provides evidences for further cure of capacitive current.