A Novel Method of Detecting Measurement Uncertainty of Voltage Deviation

Article Preview

Abstract:

Nowadays, there are various devices to detect the power quality of AC grid, where uncertainty of voltage deviation is an important parameter to investigate the power quality. National standards specify several sinusoidal waveforms to detect it, usually implemented into the detecting devices. But these waveforms are not enough and a novel method of detecting measurement uncertainty of voltage deviation is proposed in this paper. A series of detection waveforms are designed using this method. The simulation results verify that the method is available to measure uncertainty of voltage deviation more accurately. Moreover, it can be used to justify whether the basic measurement time interval of voltage deviation meets IEC standard requirements.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

688-692

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Sean Elphick, Vic Gosbell, R.A. Barr: The Australian Long Term Power Quality Monitoring Project (ICHQP 2008. 13th International Conference on).

DOI: 10.1109/ichqp.2008.4668754

Google Scholar

[2] P. Sorensen, N. A. Cutululis, T. Lund, A. D. Hansen, T. Sorensen, J. Hjerrild, M. H. Donovan, L. Christensen, and H. K. Nielsen: Power Quality Issues on Wind Power Installations in Denmark (IEEE Power Engineering Society General Meeting, Tampa, June, 2007).

DOI: 10.1109/pes.2007.385924

Google Scholar

[3] GB/T 12325-2008, Power quality-Deviation of supply voltage [S]. 2008. In Chinese.

Google Scholar

[4] IEC 61000-4-30, Testing and measurement techniques-Power quality measurement methods [S]. (2008).

Google Scholar

[5] GB/T 19862-2005, General requirements for monitoring equipments of power quality [S]. 2005. In Chinese.

Google Scholar

[6] Lihui Zhang, Junxing Li : Manufacturing Automation Vol. 33(2011), P47-49. In chinese.

Google Scholar