FIELD: electrical engineering.
SUBSTANCE: segmentation is designed to identify the intervals of correct transformation that occur at the intervals when the current transformer magnetic circuit goes out of saturation, and prepare conditions for restoring the distorted current. Method is based on comparing the samples of the electrical quantity and the model signal. Based on the results of the comparison, a two-dimensional signal is generated, which is fed to a recognition module, whose originality is that its trigger area is set on the plane of the two-dimensional signal. To achieve the goal, the same operations are performed in a strictly defined sequence not once but as many times as necessary to determine the maximum duration of the homogeneity interval. Analysis is performed by a step-by-step extension of the interval each time for one discretization interval. Two-parameter signal is used. Parameters are selected according to a given algorithm. Between the duration of the initial interval and the number of parameters of the model signal, a relationship is established: the number of samples of the observed quantity is one unit higher than the number of parameters of the model signal. Interval is extended if the recognition module is engaged on the previous interval. Process is suspended if, during the next expansion, the corresponding recognition module does not engage. Two-dimensional signal structure consisting of a signal for estimating the level of an electrical quantity at a given interval and a residual signal between an electrical quantity and a model signal is proposed.
EFFECT: elimination of the problem of nonlinear distortion of short-circuit current due to saturation of current transformers.
4 cl, 5 dwg
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Authors
Dates
2018-03-16—Published
2016-12-07—Filed