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Improved characterization of Multi-Stage Voltage Dips based on the Space Phasor Model

Azam Bagheri ; Math Bollen ; Irene Y.H. Gu (Institutionen för signaler och system, Signalbehandling)
Electric Power Systems Research (0378 7796). Vol. 154 (2018), Jamiary, p. 319-328.
[Artikel, refereegranskad vetenskaplig]

This paper proposes a method for characterizing voltage dips based on the space phasor model of the three phase-to-neutral voltages, instead of the individual voltages. This has several advantages. Using a K-means clustering algorithm, a multi-stage dip is separated into its individual event segments directly instead of first detecting the transition segments. The logistic regression algorithm fits the best single-segment characteristics to every individual segment, instead of extreme values being used for this, as in earlier methods. The method is validated by applying it to synthetic and measured dips. It can be generalized for application to both single- and multi-stage dips.

Nyckelord: Electric power distribution, Electric power transmission, Power quality, Voltage dips, Machine learning algorithms, Clustering algorithms, Logistic regression



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Denna post skapades 2017-11-07. Senast ändrad 2017-11-07.
CPL Pubid: 252956

 

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Institutioner (Chalmers)

Institutionen för signaler och system, Signalbehandling (1900-2017)

Ämnesområden

Energi
Elektroteknik och elektronik
Signalbehandling

Chalmers infrastruktur