Micro-PMU data-driven anomalous voltage event detection for the power distribution system
As Distributed Energy Resources become more prevalent in the power grid, the challenges facing grid operators have intensified. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of informatio...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://repository.londonmet.ac.uk/9640/1/paper_078.pdf |
| _version_ | 1824446483444793344 |
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| author | Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti |
| author_facet | Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti |
| author_sort | Parameswaran, Saththiyan |
| collection | LMU |
| description | As Distributed Energy Resources become more prevalent in the power grid, the challenges facing grid operators have intensified. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of information presents its own set of obstacles. This study examines thirty days of micro-PMU data from April 2023, employing statistical analysis and unsupervised learning techniques to identify various voltage events over time. Real-world data from grid-connected solar farms in Norfolk, England, is utilized to detect and analyze these voltage events, as well as to explore their distinct patterns. |
| first_indexed | 2025-02-19T01:15:52Z |
| format | Conference or Workshop Item |
| id | oai:repository.londonmet.ac.uk:9640 |
| institution | London Metropolitan University |
| language | English |
| last_indexed | 2025-02-19T01:15:52Z |
| publishDate | 2024 |
| record_format | eprints |
| spelling | oai:repository.londonmet.ac.uk:96402025-01-08T09:32:44Z https://repository.londonmet.ac.uk/9640/ Micro-PMU data-driven anomalous voltage event detection for the power distribution system Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti 000 Computer science, information & general works 620 Engineering & allied operations As Distributed Energy Resources become more prevalent in the power grid, the challenges facing grid operators have intensified. The integration of micro-synchrophasors (micro-PMUs) into the grid infrastructure has provided access to high-resolution data, yet analyzing such vast amounts of information presents its own set of obstacles. This study examines thirty days of micro-PMU data from April 2023, employing statistical analysis and unsupervised learning techniques to identify various voltage events over time. Real-world data from grid-connected solar farms in Norfolk, England, is utilized to detect and analyze these voltage events, as well as to explore their distinct patterns. 2024-06-06 Conference or Workshop Item PeerReviewed text en https://repository.londonmet.ac.uk/9640/1/paper_078.pdf Parameswaran, Saththiyan, Dey, Maitreyee and Patel, Preeti (2024) Micro-PMU data-driven anomalous voltage event detection for the power distribution system. In: 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2024), 6-7 June 2024, London Metropolitan University, London (UK) / Online. (In Press) |
| spellingShingle | 000 Computer science, information & general works 620 Engineering & allied operations Parameswaran, Saththiyan Dey, Maitreyee Patel, Preeti Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title | Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title_full | Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title_fullStr | Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title_full_unstemmed | Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title_short | Micro-PMU data-driven anomalous voltage event detection for the power distribution system |
| title_sort | micro pmu data driven anomalous voltage event detection for the power distribution system |
| topic | 000 Computer science, information & general works 620 Engineering & allied operations |
| url | https://repository.londonmet.ac.uk/9640/1/paper_078.pdf |
| work_keys_str_mv | AT parameswaransaththiyan micropmudatadrivenanomalousvoltageeventdetectionforthepowerdistributionsystem AT deymaitreyee micropmudatadrivenanomalousvoltageeventdetectionforthepowerdistributionsystem AT patelpreeti micropmudatadrivenanomalousvoltageeventdetectionforthepowerdistributionsystem |