Voltage dip detection with half cycle window RMS values and aggregation of short events

Y. Qin; G. Ye; V. Cuk; J.F.G. Cobben

doi:10.24084/repqj13.352

Voltage dip detection with half cycle window RMS values and aggregation of short events

Y. Qin, G. Ye, V. Cuk, J.F.G. Cobben

Electrical Energy Systems

Onderzoeksoutput: Bijdrage aan tijdschrift › Tijdschriftartikel › Academic › peer review

15 Citaten (Scopus)

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This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

Originele taal-2	Engels
Artikelnummer	352
Pagina's (van-tot)	439-444
Aantal pagina's	6
Tijdschrift	Renewable Energy & Power Quality Journal
Volume	1
Nummer van het tijdschrift	13
DOI's	https://doi.org/10.24084/repqj13.352 https://doi.org/10.24084/repqj13.352
Status	Gepubliceerd - 1 apr. 2015
Evenement	2015 International Conference on Renewble Energies and Power Quality (ICREPQ 2015) - La Coruña, Spanje Duur: 25 mrt. 2015 → 27 mrt. 2015

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title = "Voltage dip detection with half cycle window RMS values and aggregation of short events",

abstract = "This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.",

keywords = "Dip duration, Power quality (PQ), Residual voltage, Voltage dip",

author = "Y. Qin and G. Ye and V. Cuk and J.F.G. Cobben",

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AU - Qin, Y.

AU - Ye, G.

AU - Cuk, V.

AU - Cobben, J.F.G.

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N2 - This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

AB - This paper presents the results of the analysis on the 2 data window lengths adopted in instruments for the detection of voltage dips (sags). The first one is commonly applied which use one cycle window to calculate the RMS value of residual voltage, the other one uses half cycle window to calculate the RMS values. These two window lengths are compared analytically and based on a simulation in this paper. Thee short duration dips are emphasized as they lead to more differences. The different affectivee factors like residual voltage and phase angle jump are also discussed. A set of field measured dip data are analysed with these 2 methods and the results are given and compared.

KW - Dip duration

KW - Power quality (PQ)

KW - Residual voltage

KW - Voltage dip

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T2 - 2015 International Conference on Renewble Energies and Power Quality (ICREPQ 2015)

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Voltage dip detection with half cycle window RMS values and aggregation of short events

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