Off-line event filter for the wide area frequency measurements

Estimates of the dynamic phasor and its derivatives are obtained using the weighted least-squares soluton of a Taylor approximation with classical windows as weighting factors. It is demonstrated that the least-squares solution simultaneously approximates the time function and its spectrum, and this twofold solution in turn is equivalent to the simultaneous approximation of the ideal frequency responses of the differentiators at once on the bandpass centered at the desired central frequency. Therefore the differentiators are maximally flat in the interval centered at the desired frequency. The filters designed with the Rectangular and Hamming windows are shown as examples of baseband differentiators.

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Off-line event filter for the wide area frequency measurements

Cited by 5 publications

References 9 publications

Proposal of analytics software architecture with data preparation layer for fast event identification in wide-area situational awareness

Proposal of analytics software architecture with data preparation layer for fast event identification in wide-area situational awareness

Algorithm for screening PMU data for power system events

Dynamic phasor estimates through maximally flat differentiators

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