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Probabilistic Modeling of Harmonic Impedances

Authors: Roberto Langella; Alfredo Testa;

Probabilistic Modeling of Harmonic Impedances

Abstract

In the previous chaptermodels for probabilistic network analysis were considered assuming, for simplicity sake, the network component impedances remain constant. This assumption can be justified by the complexity of taking into account the time variance of the network configuration and the existing correlations present; the assumption is near to be verified in short-term scenarios. In this chapter, the single node analysis is considered in long-term scenarios so that the dimensions of the problem are reduced and impedance variability cannot be ignored. The probabilistic aspects of harmonic impedances are introduced with reference to a case study. © 2009 John Wiley & Sons, Ltd.

Country
Italy
Keywords

Frequency dependent behavior of supply system impedances; Harmonic and interharmonic voltages at bus 49:RECT; Harmonic impedance probabilistic modeling; Impedance variability; Network component impedances; Probabilistic approach for harmonic current prediction; Single node analysis in long-term scenarios; Supply time variability; System impedance magnitude versus frequency; System impedance variability

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selected citations
These citations are derived from selected sources.
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!
0
Average
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