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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationProceedings of the 35th Irish Systems and Signals Conference, ISSC 2024
EditorsHuiru Zheng, Ian Cleland, Adrian Moore, Haiying Wang, David Glass, Joe Rafferty, Raymond Bond, Jonathan Wallace
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350352986
ISBN (Print)9798350352993
DOIs
Publication statusPublished - 29 Jul 2024
Event35th Irish Systems and Signals Conference, ISSC 2024 - Belfast, United Kingdom
Duration: 13 Jun 202414 Jun 2024

Publication series

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

Conference

Conference35th Irish Systems and Signals Conference, ISSC 2024
Country/TerritoryUnited Kingdom
CityBelfast
Period13/06/202414/06/2024

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

Fingerprint

Dive into the research topics of 'Data selection tool for analysis of time synchronised sampled values (TSSV) in power systems'. Together they form a unique fingerprint.

Cite this