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Research on synchronized phasor measuring method for dynamic signals

Authors: Zhengyou He; Zhiqian Bo; Brian Kirby; Ruikun Mai;

Research on synchronized phasor measuring method for dynamic signals

Abstract

One important characteristic of current and voltage signals is their dynamic behavior which is usually ignored by the traditional phasor measurement algorithm, and inaccurate phasor estimates will be attain by the traditional algorithm because of dynamic behavior such as power system oscillations. The derivatives of Taylor expansion are employed to express dynamic signals and their coefficients are regarded as the constraints for an optimization function, which will generate a sequence to modify the coefficient of the filter. Not only will the physical meaning of the derivative coefficients be described in detail within this paper, but also an efficient phasor estimate algorithm, that has good performance under dynamic conditions, will be proposed. Theoretical analysis, simulation and analysis of real data demonstrate that the performance of the algorithm proposed by this paper is superior to traditional phasor estimate algorithm based on a FIR filter in the presence of oscillations and frequency deviations.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average