A synchrophasor stream processing pipeline architecture for near-real-time applications
dc.contributor.author | Villegas, Daniel | |
dc.contributor.examiningcommittee | Annakkage, Udaya (Electrical and Computer Engineering) | |
dc.contributor.examiningcommittee | Leung, Carson (Computer Science) | |
dc.contributor.examiningcommittee | Narendra, Krish (Electrical and Computer Engineering) | |
dc.contributor.supervisor | Rajapakse, Athula | |
dc.date.accessioned | 2025-03-21T15:43:37Z | |
dc.date.available | 2025-03-21T15:43:37Z | |
dc.date.issued | 2025-03-20 | |
dc.date.submitted | 2025-03-21T01:31:04Z | en_US |
dc.degree.discipline | Electrical and Computer Engineering | |
dc.degree.level | Master of Science (M.Sc.) | |
dc.description.abstract | Since their introduction, synchrophasor measurement networks have been steadily growing and are expected to continue growing as distribution Phasor Measurement Units (PMU) become mainstream. Moreover, recent advances in data-driven methods, in contrast to traditional synchrophasor applications, introduce more demanding data requirements. Together, these factors create the need to research data engineering methods for handling synchrophasor data at a large scale. This research investigates the use of a stream processing framework to build synchrophasor applications and proposes a novel reconfigurable synchrophasor data pipeline for near-real-time applications. The processing pipeline is part of a larger system which comprises data collection at the substation level, data ingestion, processing and a centralized metadata registry. In addition, to overcome some of the technical, cybersecurity and economic challenges of traditional PMU networks, the system is developed using open-source, off-the-shelf technologies and is deployed to a cloud provider. Lastly, the system is tested using a real-time simulation, the data is collected by multiple agents and forwarded to the cloud using different data rates to assess its performance in terms of the latency. | |
dc.description.note | May 2025 | |
dc.identifier.uri | http://hdl.handle.net/1993/38941 | |
dc.language.iso | eng | |
dc.subject | Synchrophasors | |
dc.subject | PMU | |
dc.subject | Big-data | |
dc.subject | Cloud | |
dc.subject | Power systems | |
dc.title | A synchrophasor stream processing pipeline architecture for near-real-time applications | |
local.subject.manitoba | no | |
project.funder.identifier | https://doi.org/10.13039/100010318 | |
project.funder.name | University of Manitoba |
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