Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems

David Laverty; Erik Tridianto; Kieran McLaughlin

doi:10.1109/ISSC61953.2024.10603262

Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems

David Laverty, Erik Tridianto, Kieran McLaughlin

School of Electronics, Electrical Engineering and Computer Science

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

Abstract

Effective analysis of Time-Synchronised Sampled Value (TSSV) waveform data is critical for accurate fault diagnosis and timely response in electrical power systems. However, existing methods for data selection often suffer from limitations such as manual processes and lack of user-friendly tools. This paper presents a software solution designed to address these challenges by providing features tailored specifically for TSSV waveform data analysis. The software may be incorporated into automated event detection workflows, with an example given utilizing Goodness-of-Fit for the data selection process. The software integrates with the established OpenPMU tool chain, and is flexible to support relevant electricity utility standards including IEC 61850-9-2. This paper gives examples of the function of the tool using real data captured from the Irish power system. Future development of the tool will include integration with advanced analytics and machine learning algorithms for predictive fault analysis, highlighting the potential of the proposed software to enhance current practices in power system engineering.

Original language	English
Title of host publication	Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024
Editors	Huiru Zheng, Ian Cleland, Adrian Moore, Haiying Wang, David Glass, Joe Rafferty, Raymond Bond, Jonathan Wallace
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350352986
ISBN (Print)	9798350352993
DOIs	https://doi.org/10.1109/ISSC61953.2024.10603262
Publication status	Published - 29 Jul 2024
Event	35th Irish Systems and Signals Conference, ISSC 2024 - Belfast, United Kingdom Duration: 13 Jun 2024 → 14 Jun 2024

Publication series

Name	Proceedings of the Irish Systems and Signals Conference, ISSC
ISSN (Print)	2688-1446
ISSN (Electronic)	2688-1454

Conference

Conference	35th Irish Systems and Signals Conference, ISSC 2024
Country/Territory	United Kingdom
City	Belfast
Period	13/06/2024 → 14/06/2024

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Keywords

CPOW
IEC 61850-9-2
PMU
Synchrophasor
Time Synchronized SV

ASJC Scopus subject areas

Modelling and Simulation
Artificial Intelligence
Computer Networks and Communications
Information Systems
Signal Processing
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/ISSC61953.2024.10603262Licence: Unspecified

Cite this

Laverty, D., Tridianto, E., & McLaughlin, K. (2024). Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems. In H. Zheng, I. Cleland, A. Moore, H. Wang, D. Glass, J. Rafferty, R. Bond, & J. Wallace (Eds.), Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024 (Proceedings of the Irish Systems and Signals Conference, ISSC ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISSC61953.2024.10603262

Laverty, David ; Tridianto, Erik ; McLaughlin, Kieran. / Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems. Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. editor / Huiru Zheng ; Ian Cleland ; Adrian Moore ; Haiying Wang ; David Glass ; Joe Rafferty ; Raymond Bond ; Jonathan Wallace. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings of the Irish Systems and Signals Conference, ISSC ).

@inproceedings{18acb51941fe49689319e36149e5ab11,

title = "Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems",

abstract = "Effective analysis of Time-Synchronised Sampled Value (TSSV) waveform data is critical for accurate fault diagnosis and timely response in electrical power systems. However, existing methods for data selection often suffer from limitations such as manual processes and lack of user-friendly tools. This paper presents a software solution designed to address these challenges by providing features tailored specifically for TSSV waveform data analysis. The software may be incorporated into automated event detection workflows, with an example given utilizing Goodness-of-Fit for the data selection process. The software integrates with the established OpenPMU tool chain, and is flexible to support relevant electricity utility standards including IEC 61850-9-2. This paper gives examples of the function of the tool using real data captured from the Irish power system. Future development of the tool will include integration with advanced analytics and machine learning algorithms for predictive fault analysis, highlighting the potential of the proposed software to enhance current practices in power system engineering.",

keywords = "CPOW, IEC 61850-9-2, PMU, Synchrophasor, Time Synchronized SV",

author = "David Laverty and Erik Tridianto and Kieran McLaughlin",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 35th Irish Systems and Signals Conference, ISSC 2024 ; Conference date: 13-06-2024 Through 14-06-2024",

year = "2024",

month = jul,

day = "29",

doi = "10.1109/ISSC61953.2024.10603262",

language = "English",

isbn = "9798350352993",

series = "Proceedings of the Irish Systems and Signals Conference, ISSC ",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Huiru Zheng and Ian Cleland and Adrian Moore and Haiying Wang and David Glass and Joe Rafferty and Raymond Bond and Jonathan Wallace",

booktitle = "Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024",

address = "United States",

}

Laverty, D , Tridianto, E & McLaughlin, K 2024, Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems. in H Zheng, I Cleland, A Moore, H Wang, D Glass, J Rafferty, R Bond & J Wallace (eds), Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. Proceedings of the Irish Systems and Signals Conference, ISSC , Institute of Electrical and Electronics Engineers Inc., 35th Irish Systems and Signals Conference, ISSC 2024, Belfast, United Kingdom, 13/06/2024. https://doi.org/10.1109/ISSC61953.2024.10603262

Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems. / Laverty, David ; Tridianto, Erik ; McLaughlin, Kieran.
Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. ed. / Huiru Zheng; Ian Cleland; Adrian Moore; Haiying Wang; David Glass; Joe Rafferty; Raymond Bond; Jonathan Wallace. Institute of Electrical and Electronics Engineers Inc., 2024. (Proceedings of the Irish Systems and Signals Conference, ISSC ).

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

TY - GEN

T1 - Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems

AU - Laverty, David

AU - Tridianto, Erik

AU - McLaughlin, Kieran

PY - 2024/7/29

Y1 - 2024/7/29

N2 - Effective analysis of Time-Synchronised Sampled Value (TSSV) waveform data is critical for accurate fault diagnosis and timely response in electrical power systems. However, existing methods for data selection often suffer from limitations such as manual processes and lack of user-friendly tools. This paper presents a software solution designed to address these challenges by providing features tailored specifically for TSSV waveform data analysis. The software may be incorporated into automated event detection workflows, with an example given utilizing Goodness-of-Fit for the data selection process. The software integrates with the established OpenPMU tool chain, and is flexible to support relevant electricity utility standards including IEC 61850-9-2. This paper gives examples of the function of the tool using real data captured from the Irish power system. Future development of the tool will include integration with advanced analytics and machine learning algorithms for predictive fault analysis, highlighting the potential of the proposed software to enhance current practices in power system engineering.

AB - Effective analysis of Time-Synchronised Sampled Value (TSSV) waveform data is critical for accurate fault diagnosis and timely response in electrical power systems. However, existing methods for data selection often suffer from limitations such as manual processes and lack of user-friendly tools. This paper presents a software solution designed to address these challenges by providing features tailored specifically for TSSV waveform data analysis. The software may be incorporated into automated event detection workflows, with an example given utilizing Goodness-of-Fit for the data selection process. The software integrates with the established OpenPMU tool chain, and is flexible to support relevant electricity utility standards including IEC 61850-9-2. This paper gives examples of the function of the tool using real data captured from the Irish power system. Future development of the tool will include integration with advanced analytics and machine learning algorithms for predictive fault analysis, highlighting the potential of the proposed software to enhance current practices in power system engineering.

KW - CPOW

KW - IEC 61850-9-2

KW - PMU

KW - Synchrophasor

KW - Time Synchronized SV

U2 - 10.1109/ISSC61953.2024.10603262

DO - 10.1109/ISSC61953.2024.10603262

M3 - Conference contribution

AN - SCOPUS:85201142939

SN - 9798350352993

T3 - Proceedings of the Irish Systems and Signals Conference, ISSC

BT - Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024

A2 - Zheng, Huiru

A2 - Cleland, Ian

A2 - Moore, Adrian

A2 - Wang, Haiying

A2 - Glass, David

A2 - Rafferty, Joe

A2 - Bond, Raymond

A2 - Wallace, Jonathan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 35th Irish Systems and Signals Conference, ISSC 2024

Y2 - 13 June 2024 through 14 June 2024

ER -

Laverty D , Tridianto E , McLaughlin K. Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems. In Zheng H, Cleland I, Moore A, Wang H, Glass D, Rafferty J, Bond R, Wallace J, editors, Proceedings of the 35th Irish Systems and Signals Conference, ISSC 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (Proceedings of the Irish Systems and Signals Conference, ISSC ). doi: 10.1109/ISSC61953.2024.10603262

Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this