Data compression in smart distribution systems via singular value decomposition
File(s)Souza_data+compression_IEEE_Trans.pdf (1.14 MB)
Published version
Author(s)
De Souza,, JCS
Lessa Assis,, TM
Pal, BC
Type
Journal Article
Abstract
Electrical distribution systems have been experiencing many changes in recent times. Advances in metering system infrastructure and the deployment of a large number of smart meters in the grid will produce a big volume of data that will be required for many different applications. Despite the significant investments taking place in the communications infrastructure, this remains a bottleneck for the implementation of some applications. This paper presents a methodology for lossy data compression in smart distribution systems using the singular value decomposition technique. The proposed method is capable of significantly reducing the volume of data to be transmitted through the communications network and accurately reconstructing the original data. These features are illustrated by results from tests carried out using real data collected from metering devices at many different substations.
Editor(s)
Wang, J
Date Issued
2015-08-14
Online Publication Date
2015-08-14
Date Acceptance
2015-07-14
ISSN
1949-3061
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Start Page
275
End Page
284
Journal / Book Title
IEEE Transactions on Smart Grid
Volume
8
Copyright Statement
© 2015 The Authors. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
License URI
Source Database
manual-entry
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
R96051 - EP/K036173/1
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
Data compression
power system monitoring
smart grids
COMMUNICATION
GRIDS
smart grid
0906 Electrical And Electronic Engineering
0915 Interdisciplinary Engineering
Publication Status
Published