Abstract

The paper presents research results on a novel algorithm that allows estimation of parameters associated with the specific voltage fluctuation sources in the power grid, which change their operating state with a frequency of up to 150 Hz. The proposed algorithm allows estimating the rate of changes of the disturbing load state, the amplitude, and shape of voltage changes caused by specific sources of disturbances. The decomposition of the estimated AM modulation voltage signal in the power grid is used to implement the algorithm. The algorithm uses a carrier function estimator, which allows research on disturbing loads that change their operating state with a frequency greater than the power frequency. The enhanced empirical wavelet transform is used for the decomposition, which allows recreating the selected parameters, considering random operation of disturbing loads. Accurate recreation of selected parameters will allow selective location of disturbing loads by assessing the propagation of voltage fluctuations caused by specific sources of disturbances. An alternative algorithm has been proposed with coding of voltage changes to voltage fluctuation indices determined from the estimated AM modulation signal of voltage, allowing reducing the necessary memory of the measuring device. Experimental studies have been conducted for the proposed algorithms, considering rapid voltage changes.

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