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This paper studied the zero-sequence current of the distribution network with DGs. By comparison analysis, DGs do not affect the zero-sequence current measured at the initial points of each feeder. The transient component of zero-sequence current contains abundant fault information. The algorithm decomposed zero-sequence current on four scales with wavelet function db4. Fault characteristic components...
An approach to detect fault line in distribution network using neural network based on S-transform energy is proposed und after analyzing the variance of fault characteristic frequency of zero sequence current in each feeder line of overhead line and underground cable mixed lines. In order to avoid the effect of TA's disconnection angle, the short window data of first 1/4 cycle are selected. The S-transform...
The single-phase grounding fault line selection in the distribution network has always been an outstanding problem of power system relay protection. One of the key reasons for fault line selection difficulty is that the fault current is correspondingly too weak to be detected effectively for the small current grounding system which is widely adopted in our distribution networks. The paper mainly discusses...
This paper attempts to use a novel algorithm of traveling wave caused by the transient condition and the sudden change of the point of failure when traveling wave invades the transformer substation, gain the polar and amplitude characteristic of current front traveling wave in various lines, constitute line selection protection algorithm, complete line selection of single-phaseground fault in the...
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...
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