Parameswaran, Saththiyan, Dey, Maitreyee and Patel, Preeti (2025) 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.
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.
Restricted to Repository staff only until 29 March 2026.
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