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A power spectrum density based signal selection approach for electromechanical mode estimation

Authors: Chao Wu; Yingduo Han; Junbo Zhang;

A power spectrum density based signal selection approach for electromechanical mode estimation

Abstract

An effective identification method and an informative signal are two inseparable aspects for precise estimation of power systems' electromechanical modes. Informative signal is conventionally selected by power spectrum density (PSD) analysis from numerous amounts of ambient data. However, directly comparing PSD plots of different signals is casual and imprecise, especially for those non-obvious modes which could be overlooked in the PSD plots. In this paper, a signal selection approach based on PSD analysis is proposed to accurately evaluate whether a signal is informative to a mode. Simulation is carried out in an 8-generator 36-node benchmark system; mode estimation is employed to validate its effectiveness.

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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!
2
Average
Average
Average