NDLI: Low-loss image-based compression for synchrophasor measurements

Content Provider	IET Digital Library
Author	Acharya, Sowmya Marco, Christopher L. De
Abstract	Deployments of high-sampling rate synchronised phasor measurement units (PMUs) are growing rapidly throughout the world, and with the advent of microPMUs, spreading from bulk transmission through distribution systems. The growing volume of PMU data presents challenges in its communication and storage, motivating consideration of compression algorithms. This study presents a novel lossy compression algorithm that exploits particular characteristics of power system measurements to improve the compression. Concepts successfully applied in image compression are tailored to the spatio-temporal correlations induced between electrical quantities via their network interconnections. The quality of the resulting compression is judged on the balance of storage space savings versus the accuracy of data reconstruction. In representative real-world and transient simulation datasets, the technique developed can provide storage compression in the range of 40:1 when different physical quantities are compressed together. The compression ratios can be in the range of 90:1 for voltage magnitudes and 190:1 for frequency when the measurements are compressed separately. The high-compression ratios are achieved while maintaining low-loss (high-accuracy) reconstruction.
Starting Page	4571
Ending Page	4579
Page Count	9
ISSN	17518687
Volume Number	14
e-ISSN	17518695
Issue Number	Issue 20, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/14/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2020.0551
Journal	IET Generation, Transmission & Distribution
Publisher Date	2020-08-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Computer Vision And Image Processing Technique Data Compression Data Handling Technique Data Reconstruction Distribution Network Distribution System High-compression Ratios High-sampling Rate Image And Video Coding Image Coding Image Compression Lossy Compression Algorithm Low-loss Image-based Compression Phasor Measurement PMU Data Power Engineering Computing Power System Measurement Power System Measurement And Metering Spatio-temporal Correlations Storage Compression Synchronisation Synchronised Phasor Measurement Units Synchrophasor Measurement
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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