جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://dl.pgu.ac.ir/handle/Hannan/68493
Title: Data compression in smart distribution systems via singular value decomposition
Keywords: Science & Technology;Technology;Engineering, Electrical & Electronic;Engineering;Data compression;power system monitoring;smart grids;COMMUNICATION;GRIDS;power system monitoring;smart grid;Data compression; Electrical And Electronic Engineering;0915 Interdisciplinary Engineering
Issue Date: 14-Aug-2015
14-Jul-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
place: Engineering & Physical Science Research Council (E
Description: 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.
Other Identifiers: 1949-3061
http://hdl.handle.net/10044/1/25343
https://dx.doi.org/10.1109/TSG.2015.2456979
R96051 - EP/K036173/1
Type Of Material: Other
Appears in Collections:Faculty of Engineering

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