Representing Synchrophasor Data Using JSON

Paul Brogan, Andres Jarmillo Moreno, Xueqin Amy Liu, John Hastings, David Laverty, D. John Morrow, Connor Duggan, Robert Best

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Synchrophasor technology offers myriad possibilities in terms of novel operation, control and analysis of electrical power system infrastructure. Unfortunately, accessing synchrophasor data is complicated by data markup standards and transport protocols. This paper presents an alternative approach which is built on trusted methodologies and techniques used in data science, and proposes that the widely used JSON format is used for synchrophasor data encapsulation. The structure described has been deployed in a University lab for several years, it facilitates various live analysis and presentation methods, as-well-as data archival. An advantage of the text based JSON format is that it can be inspected by researchers directly and the data can be directly loaded into virtually all analysis software. An agreed data structure streamlines collaboration, exchange of research and replication of results in a development environment. The schema can also be used for compression, security and rejecting bad data in a production environment. Tools for handling JSON data are readily available and are commercially tested as JSON is so widely used.

Original languageEnglish
Title of host publication2021 32nd Irish Signals and Systems Conference, ISSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665434294
DOIs
Publication statusPublished - 01 Jul 2021
Event32nd Irish Signals and Systems Conference, ISSC 2021 - Athlone, Ireland
Duration: 10 Jun 202111 Jun 2021

Publication series

Name2021 32nd Irish Signals and Systems Conference, ISSC 2021
PublisherIEEE
ISSN (Print)2688-1446
ISSN (Electronic)2688-1454

Conference

Conference32nd Irish Signals and Systems Conference, ISSC 2021
Country/TerritoryIreland
CityAthlone
Period10/06/202111/06/2021

Bibliographical note

Funding Information:
V. ACKNOWLEDGEMENTS This work is part of SPIRE2 (Storage Platform for the Integration of Renewable Energy 2) project, supported by the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPB). The views and opinions expressed in this paper do not necessarily reflect those of the European Commission or SEUPB.

Funding Information:
Supported by the SPIRE 2 a project in the European Union’s INTERREG VA Programme, managed by the Special EU Programmes Body (SEUPB), under the grant SPIRE2_INT-VA-049. 978-1-6654-3429-4/21/$31.00 ©2021 IEEE

Publisher Copyright:
© 2021 IEEE.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • C37.118
  • JSON
  • PMU
  • Protocol Buffers
  • Schema

ASJC Scopus subject areas

  • Signal Processing

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