Pseudo-Realtime PMU Event Detection Framework

Connor Duggan; Paul Brogan; Xueqin Liu; David Laverty; John Morrow

doi:10.1109/ISGTEurope52324.2021.9640037

Pseudo-Realtime PMU Event Detection Framework

Connor Duggan, Paul Brogan, Xueqin Liu, David Laverty, John Morrow

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

1 Citation (Scopus)

Abstract

Phasor Measurement Units offer considerable insights into system disturbances whether they are connected to the transmission or distribution system. Multiple PMUs provide a large amount of streaming data that can reveal an event's severity, duration, and location. This paper discusses the development of a passive MQTT event-stream detection framework between 2 PMUs on the island of Ireland. It presents a simple and straight forward methodology of event detection and event classification. Applying simple query functions to PMU streams such as system frequency, RoCoF, and symmetrical components efficiently detects events on a power grid. Power system events such as short circuits, frequency transients and Very Low Frequency Oscillations captured on the Irish Electrical grid are discussed to validate the proposed framework.

Original language	English
Title of host publication	Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9781665448758
DOIs	https://doi.org/10.1109/ISGTEurope52324.2021.9640037
Publication status	Published - 21 Dec 2021
Event	11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 - Espoo, Finland Duration: 18 Oct 2021 → 21 Oct 2021

Publication series

Name	Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe
Publisher	IEEE

Conference

Conference	11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021
Country/Territory	Finland
City	Espoo
Period	18/10/2021 → 21/10/2021

Bibliographical note

Funding Information:
The authors thank SONI/EirGrid for providing PMU data; DIgSILENT PowerFactory for granting a thesis license to continue research off-campus during COVID-19.

Publisher Copyright:
© 2021 IEEE.

Keywords

Event Detection
MQTT
PMU
VLFO's
WAMS

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Information Systems and Management
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/ISGTEurope52324.2021.9640037Licence: Unspecified

Cite this

Duggan, C., Brogan, P., Liu, X., Laverty, D., & Morrow, J. (2021). Pseudo-Realtime PMU Event Detection Framework. In Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 (Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe ). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISGTEurope52324.2021.9640037

Duggan, Connor ; Brogan, Paul ; Liu, Xueqin et al. / Pseudo-Realtime PMU Event Detection Framework. Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe ).

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abstract = "Phasor Measurement Units offer considerable insights into system disturbances whether they are connected to the transmission or distribution system. Multiple PMUs provide a large amount of streaming data that can reveal an event's severity, duration, and location. This paper discusses the development of a passive MQTT event-stream detection framework between 2 PMUs on the island of Ireland. It presents a simple and straight forward methodology of event detection and event classification. Applying simple query functions to PMU streams such as system frequency, RoCoF, and symmetrical components efficiently detects events on a power grid. Power system events such as short circuits, frequency transients and Very Low Frequency Oscillations captured on the Irish Electrical grid are discussed to validate the proposed framework.",

keywords = "Event Detection, MQTT, PMU, VLFO's, WAMS",

author = "Connor Duggan and Paul Brogan and Xueqin Liu and David Laverty and John Morrow",

note = "Funding Information: The authors thank SONI/EirGrid for providing PMU data; DIgSILENT PowerFactory for granting a thesis license to continue research off-campus during COVID-19. Publisher Copyright: {\textcopyright} 2021 IEEE.; 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 ; Conference date: 18-10-2021 Through 21-10-2021",

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Duggan, C, Brogan, P, Liu, X , Laverty, D & Morrow, J 2021, Pseudo-Realtime PMU Event Detection Framework. in Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021. Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe , Institute of Electrical and Electronics Engineers Inc., 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021, Espoo, Finland, 18/10/2021. https://doi.org/10.1109/ISGTEurope52324.2021.9640037

Pseudo-Realtime PMU Event Detection Framework. / Duggan, Connor; Brogan, Paul; Liu, Xueqin et al.
Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021. Institute of Electrical and Electronics Engineers Inc., 2021. (Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe ).

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

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T1 - Pseudo-Realtime PMU Event Detection Framework

AU - Duggan, Connor

AU - Brogan, Paul

AU - Liu, Xueqin

AU - Laverty, David

AU - Morrow, John

N1 - Funding Information: The authors thank SONI/EirGrid for providing PMU data; DIgSILENT PowerFactory for granting a thesis license to continue research off-campus during COVID-19. Publisher Copyright: © 2021 IEEE.

PY - 2021/12/21

Y1 - 2021/12/21

N2 - Phasor Measurement Units offer considerable insights into system disturbances whether they are connected to the transmission or distribution system. Multiple PMUs provide a large amount of streaming data that can reveal an event's severity, duration, and location. This paper discusses the development of a passive MQTT event-stream detection framework between 2 PMUs on the island of Ireland. It presents a simple and straight forward methodology of event detection and event classification. Applying simple query functions to PMU streams such as system frequency, RoCoF, and symmetrical components efficiently detects events on a power grid. Power system events such as short circuits, frequency transients and Very Low Frequency Oscillations captured on the Irish Electrical grid are discussed to validate the proposed framework.

AB - Phasor Measurement Units offer considerable insights into system disturbances whether they are connected to the transmission or distribution system. Multiple PMUs provide a large amount of streaming data that can reveal an event's severity, duration, and location. This paper discusses the development of a passive MQTT event-stream detection framework between 2 PMUs on the island of Ireland. It presents a simple and straight forward methodology of event detection and event classification. Applying simple query functions to PMU streams such as system frequency, RoCoF, and symmetrical components efficiently detects events on a power grid. Power system events such as short circuits, frequency transients and Very Low Frequency Oscillations captured on the Irish Electrical grid are discussed to validate the proposed framework.

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KW - PMU

KW - VLFO's

KW - WAMS

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M3 - Conference contribution

AN - SCOPUS:85123932158

T3 - Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe

BT - Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021

Y2 - 18 October 2021 through 21 October 2021

ER -

Duggan C, Brogan P, Liu X , Laverty D, Morrow J. Pseudo-Realtime PMU Event Detection Framework. In Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021. Institute of Electrical and Electronics Engineers Inc. 2021. (Proceedings of IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe ). doi: 10.1109/ISGTEurope52324.2021.9640037

Pseudo-Realtime PMU Event Detection Framework

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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Cite this