Representing Synchrophasor Data Using JSON

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

doi:10.1109/ISSC52156.2021.9467868

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 proceeding › Conference contribution

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 language	English
Title of host publication	2021 32nd Irish Signals and Systems Conference, ISSC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665434294
DOIs	https://doi.org/10.1109/ISSC52156.2021.9467868
Publication status	Published - 01 Jul 2021
Event	32nd Irish Signals and Systems Conference, ISSC 2021 - Athlone, Ireland Duration: 10 Jun 2021 → 11 Jun 2021

Publication series

Name	2021 32nd Irish Signals and Systems Conference, ISSC 2021
Publisher	IEEE
ISSN (Print)	2688-1446
ISSN (Electronic)	2688-1454

Conference

Conference	32nd Irish Signals and Systems Conference, ISSC 2021
Country/Territory	Ireland
City	Athlone
Period	10/06/2021 → 11/06/2021

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

Access to Document

10.1109/ISSC52156.2021.9467868Licence: Unspecified

Cite this

Brogan, P., Moreno, A. J., Liu, X. A., Hastings, J., Laverty, D., Morrow, D. J., Duggan, C., & Best, R. (2021). Representing Synchrophasor Data Using JSON. In 2021 32nd Irish Signals and Systems Conference, ISSC 2021 [9467868] (2021 32nd Irish Signals and Systems Conference, ISSC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSC52156.2021.9467868

Brogan, Paul ; Moreno, Andres Jarmillo ; Liu, Xueqin Amy ; Hastings, John ; Laverty, David ; Morrow, D. John ; Duggan, Connor ; Best, Robert. / Representing Synchrophasor Data Using JSON. 2021 32nd Irish Signals and Systems Conference, ISSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (2021 32nd Irish Signals and Systems Conference, ISSC 2021).

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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. ",

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Brogan, P, Moreno, AJ, Liu, XA, Hastings, J, Laverty, D , Morrow, DJ , Duggan, C & Best, R 2021, Representing Synchrophasor Data Using JSON. in 2021 32nd Irish Signals and Systems Conference, ISSC 2021., 9467868, 2021 32nd Irish Signals and Systems Conference, ISSC 2021, Institute of Electrical and Electronics Engineers Inc., 32nd Irish Signals and Systems Conference, ISSC 2021, Athlone, Ireland, 10/06/2021. https://doi.org/10.1109/ISSC52156.2021.9467868

Representing Synchrophasor Data Using JSON. / Brogan, Paul; Moreno, Andres Jarmillo; Liu, Xueqin Amy; Hastings, John; Laverty, David ; Morrow, D. John ; Duggan, Connor ; Best, Robert.

2021 32nd Irish Signals and Systems Conference, ISSC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9467868 (2021 32nd Irish Signals and Systems Conference, ISSC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Brogan, Paul

AU - Moreno, Andres Jarmillo

AU - Liu, Xueqin Amy

AU - Hastings, John

AU - Laverty, David

AU - Morrow, D. John

AU - Duggan, Connor

AU - Best, Robert

N1 - 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.

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N2 - 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.

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KW - C37.118

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KW - PMU

KW - Protocol Buffers

KW - Schema

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DO - 10.1109/ISSC52156.2021.9467868

M3 - Conference contribution

AN - SCOPUS:85114438280

T3 - 2021 32nd Irish Signals and Systems Conference, ISSC 2021

BT - 2021 32nd Irish Signals and Systems Conference, ISSC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 32nd Irish Signals and Systems Conference, ISSC 2021

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ER -

Representing Synchrophasor Data Using JSON

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this