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MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID

Abstract: 

Wide-area-measurement systems (WAMSs) are used in smart grid systems to enable the efficient monitoring of grid dynamics. However, the overwhelming amount of data and the severe contamination from noise often impede the effective and efficient data analysis and storage of WAMS generated measurements. To solve this problem, we propose a novel framework that takes advantage of Multivariate Empirical Mode Decomposition (MEMD), a fully data-driven approach to analyzing non-stationary signals, dubbed MEMD based Signal Analysis (MSA). The frequency measurements are considered as a linear superposition of different oscillatory components and noise. The low-frequency components, corresponding to the long-term trend and inter-area oscillations, are grouped and compressed by MSA using the mean shift clustering algorithm. Whereas, higher-frequency components, mostly noise and potentially part of high-frequency inter-area oscillations, are analyzed using Hilbert spectral analysis and they are delineated by statistical behavior. By conducting experiments on both synthetic and real-world data, we show that the proposed framework can capture the characteristics, such as trends and inter-area oscillation, while reducing the data storage requirements.

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Paper Details

Authors:
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu
Submitted On:
5 December 2016 - 5:21pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Liu Liu
Paper Code:
1429
Document Year:
2016
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globalsip16_liuliu.pdf

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[1] Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu, "MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1352. Accessed: Jun. 24, 2017.
@article{1352-16,
url = {http://sigport.org/1352},
author = {Liu Liu;Austin Albright;Alireza Rahimpour;Jiahui Guo;Hairong Qi;Yilu Liu },
publisher = {IEEE SigPort},
title = {MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID},
year = {2016} }
TY - EJOUR
T1 - MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID
AU - Liu Liu;Austin Albright;Alireza Rahimpour;Jiahui Guo;Hairong Qi;Yilu Liu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1352
ER -
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. (2016). MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID. IEEE SigPort. http://sigport.org/1352
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu, 2016. MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID. Available at: http://sigport.org/1352.
Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. (2016). "MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID." Web.
1. Liu Liu,Austin Albright,Alireza Rahimpour,Jiahui Guo,Hairong Qi,Yilu Liu. MULTIVARIATE EMPIRICAL MODE DECOMPOSITION BASED SIGNAL ANALYSIS AND EFFICIENT-STORAGE IN SMART GRID [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1352