APSIPA Transactions on Signal and Information Processing > Vol 4 > Issue 1

Change-point detection-based power quality monitoring in smart grids

Xingze He, University of Southern California, USA, xingzehe@usc.edu , Man-On Pun, Huawei Technologies, USA, C.C. Jay Kuo, University of Southern California, USA
 
Suggested Citation
Xingze He, Man-On Pun and C.C. Jay Kuo (2015), "Change-point detection-based power quality monitoring in smart grids", APSIPA Transactions on Signal and Information Processing: Vol. 4: No. 1, e7. http://dx.doi.org/10.1017/ATSIP.2015.7

Publication Date: 17 Aug 2015
© 2015 Xingze He, Man-On Pun and C.C. Jay Kuo
 
Subjects
 
Keywords
Smart gridPower qualityChange-point detection
 

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This is published under the terms of the Creative Commons Attribution licence.

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In this article:
I. INTRODUCTION 
II. REVIEW OF PREVIOUS WORK 
III. SINGLE-SENSOR DETECTION SCHEME 
IV. MULTI-SENSOR JOINT DETECTION SCHEME 
V. EXPERIMENTAL EVALUATION 
VI. CONCLUSION AND FUTURE WORK 

Abstract

The enormous economic loss caused by power quality problems (more than $ 150 billion per year in USA) makes power quality monitoring an important component in power grid. With highly connected fragile digital equipment and appliances, Smart Grid has more stringent timeliness and reliability requirements on power quality monitoring. In this work, we propose a change-point detection theory-based power quality monitoring scheme to detect the most detrimental power quality events, such as voltage sags, transients and swells in a quick and reliable manner. We first present a method for single-sensor detection scenario. Based on that, we extend the scheme to multi-sensor joint detection scheme which further enhances the detection performance. A group of conventional power quality monitoring schemes (i.e. Root-mean-square, Short-time Fourier transform, MUSIC, and MBQCUSUM) are compared with the proposed scheme. Experimental results assert the superior of the proposed scheme in terms of detection latency and robustness.

DOI:10.1017/ATSIP.2015.7