2003 IEEE Bologna Power Tech Conference Proceedings,
DOI: 10.1109/ptc.2003.1304435
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Alternative methodology for characterization of industrial process sensitivity to voltage sags

Abstract: methodology that brings more consistent results. Abstrad--This paper proposes an alternative methodology for the characterization of industrial process sensitivity to voltage sags using a power quality (PQ) monitoring system. Several methodologies have been used for voltage sag characterization as can be seen in the literature. The load behavior is classified Considering that PQ monitors do not characterize voltage for each event registered by PQ monitors. Several sags with the methodologies applied in this re… Show more

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Cited by 10 publications
(9 citation statements)
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“…SARDI(s) 10(i+1)−10i E(s) 10(i+1)−10i (10) where SARDI 10(i+1)−10i is the SARDI seconds between a sag threshold voltage. For example, SARDI 90-80 is the annual interruption duration due to voltage sags which are between sag thresholds of 90% and 80% RMS voltages.…”
Section: Customer Voltage Sag Costsmentioning
confidence: 99%
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“…SARDI(s) 10(i+1)−10i E(s) 10(i+1)−10i (10) where SARDI 10(i+1)−10i is the SARDI seconds between a sag threshold voltage. For example, SARDI 90-80 is the annual interruption duration due to voltage sags which are between sag thresholds of 90% and 80% RMS voltages.…”
Section: Customer Voltage Sag Costsmentioning
confidence: 99%
“…Let us take customer F 2 as an example and suggest the following hypothetical voltage sag performance scenario with Table 8 to perform (10). On the table, the outage duration stands for the annual outage time of production due to voltage sags.…”
Section: Case Studiesmentioning
confidence: 99%
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“…Over the years, many methodologies have been developed to assess equipment sensitivity [1][2][3][4][5] and industrial process sensitivity [6][7][8][9][10][11] to voltage sags, and to quantify the financial losses due to voltage sags [12][13][14]. However, current industrial environment requires a more realistic and transparent methodology which can be adopted to suit the needs of all types of industries, without compromising the accuracy of the assessment.…”
Section: Introductionmentioning
confidence: 99%