Dr David Laverty, OpenPMU, PTP, and Time Synchronised Sampled Values - The Data Hoarder’s Approach

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Dr David Laverty, OpenPMU, PTP, and Time Synchronised Sampled Values - The Data Hoarder’s Approach


OpenPMU, PTP, and Time Synchronised Sampled Values - The Data Hoarder’s Approach
by Dr. David Laverty, Reader (Full Professor)
Queen’s University Belfast, Belfast, Northern Ireland
DATE:     Wednesday, December 13, 2023.
TIME:     Webinar: 6:30 p.m. – 8:00 p.m., EDT

Webinar organized by the IEEE Ottawa Section Instrumentation & Measurement Society (IMS) Chapter, Power & Energy Society (PES) Chapter, Reliability Society and Power Electronics Society (RS/PELS) Joint Chapter, Communications Society, Consumer Electronics Society, and Broadcast Technology Society (ComSoc/CESoc/BTS) Joint Chapter, and IEEE Ottawa Educational Activities (EA)
The IEEE Ottawa Section is inviting all interested IEEE members and non-members to a webinar
OpenPMU, PTP, and Time Synchronised Sampled Values
-The Data Hoarder’s Approach -
By
Dr. David Laverty, Reader (Full Professor)
Queen’s University Belfast, Belfast, Northern Ireland
DATE: Wednesday, December 13, 2023.
TIME: Webinar: 6:30 p.m. – 8:00 p.m., EDT
PLACE: Online. Free, registration required.

The New Jersey Coast Section IM/C Chapter invites interested attendees.


Abstract
"When you can measure what you are speaking about, and express it in numbers, you know something about it." Lord Kelvin.
Synchronised measurement technology, more specifically the Phasor Measurement Unit (PMU), has yielded tremendous insight into power system phenomena over the last decades. The PMU, however, is an instrument that is not itself well understood by many who make use of its measurements. The time synchronised phasor, or synchrophasor, is a double-edged sword; on the one hand it has made it possible to apply classical methods of power system analysis to “real” data from real systems. On the other hand, the synchrophasor dispenses with all the nuance of the voltage or current waveform that was present in the sampled values from which it is estimated.
What is we just keep all of the time synchronised sampled value (TSSV) data, and use that for our studies? Building machines which can do this is more than feasible. This talk will discuss approaches and challenges that engineers pursuing this strategy face, in particular the not so small matter of the many terabytes of data such a system will create, with “needle in a haystack” levels of useful information. The talk will describe an effort on the island of Ireland to build a national system to record TSSV and also synchronise using PTP in preference to GNSS and its “space-based” vulnerabilities.
Speaker’s Bio
David Laverty (Senior Member, IEEE) received the Ph.D. degree from Queen’s University Belfast, Northern Ireland, in 2010. His thesis was on the use of synchrophasors for real-time control of generator sets via the Internet, investigating matters related to latency, packet loss and cyber security. He was appointed to a permanent post at the School of EEECS in Queen’s University Belfast in 2011, where he is presently a Reader (Full Professor, in North America). His work continues to address matters related to power system measurements, particularly time synchronisation, data systems, machine learning and cyber security. He is known as the founder of the open source project “OpenPMU”, which continues to develop open source hardware and software related to Phasor Measurement Units. His recent work is concerned with alternatives to “space-based” time signals, i.e. GNSS, in order to provide a resilient time transfer solution on which electrical utilities and other critical national infrastructure can depend.
Admission: Free. Registration required.
For any additional information, please contact: branislav@ieee.org.



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  • Date: 13 Dec 2023
  • Time: 06:30 PM to 08:00 PM
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  Speakers

Dr David Laverty Dr David Laverty

David Laverty (Senior Member, IEEE) received the Ph.D. degree from Queen’s University Belfast, Northern Ireland, in 2010. His thesis was on the use of synchrophasors for real-time control of generator sets via the Internet, investigating matters related to latency, packet loss and cyber security. He was appointed to a permanent post at the School of EEECS in Queen’s University Belfast in 2011, where he is presently a Reader (Full Professor, in North America). His work continues to address matters related to power system measurements, particularly time synchronisation, data systems, machine learning and cyber security. He is known as the founder of the open source project “OpenPMU”, which continues to develop open source hardware and software related to Phasor Measurement Units. His recent work is concerned with alternatives to “space-based” time signals, i.e. GNSS, in order to provide a resilient time transfer solution on which electrical utilities and other critical national infrastructure can depend.

 

Dr Laverty joined the School of Electronics, Electrical Engineering and Computer Science as a lecture in 2011.  His research interests include anti-islanding protection for renewable generation and Smart Grid telecommunications infrastructure.  He is the founder of the OpenPMU project for the development of open source phasor measurement unit (PMU) technology which has been presented before the IEEE PES.

Dr Laverty teaches Energy Systems and Smart Grid and has a keen interest in the promotion of Science, Technology, Engineering and Mathematics (STEM) education.  He gives public talks to local professional, educational and charitable groups on topics including Renewable Energy and the technology behind household electronics.

Education:

  • PhD Electrical and Electronic Engineering, Queen’s University Belfast, UK (2010)
  • MEng Electrical and Electronic Engineering, Queen’s University Belfast, UK (2006)

Research Interests:

  • Smart Grid Architecture, Telecommunications, Data Management and Security
  • Phasor Measurement Units
  • Anti-Islanding Detection by Synchrophasor
  • Renewable and Embedded Generation
  • OpenPMU – Open Source Phasor Measurement Unit – www.openpmu.org

Work Experience:

  • Lecturer with Energy, Power and Intelligent Control (EPIC), QUB (2011 to date)
  • Research Fellow, Knowledge Transfer Secondment with Scottish & Southern Energy (2010 - 2011)
  • IAESTE Trainee, Cognitive Systems Engineering (GETlab), Universität Paderborn, Germany (2005)

External Activities:

  • Member IET and IEEE
  • IEEE PES UK and Republic of Ireland Communications Officer
  • IET Northern Ireland Network Committee Events Organiser
  • QUESTS – Queen’s University Engineering Science & Technology Society
  • EEECS Research Society Member





Dr David Laverty, OpenPMU, PTP, and Time Synchronised Sampled Values - The Data Hoarder’s Approach