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Developing of electric power quality indicators evaluation and monitoring intellectual system

Authors: Andrey Y. Shklyarskiy; Egor O. Zamyatin; Julia V. Rastvorova;

Developing of electric power quality indicators evaluation and monitoring intellectual system

Abstract

The article describes the development of a stationary intelligent system for real time monitoring and analysing of power energy quality metrics. The principles of the system functioning and power energy quality metrics correction are described. A block diagram of the monitoring system for the quality of power energy has been developed as well as a block diagram of the control system for resonance filter units. The developed system performs continuous measurements of power energy quality metrics in the established point and analyzes their compliance with the National Standard. Based on the results of the analysis the system issues commands to the device for correction of the power energy quality metrics to maintain them in accordance with the Standard.

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
6
Average
Top 10%
Top 10%
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