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Date of Award
5-2023
Document Type
Restricted Project: Campus only access
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Reader/Committee Chair
Amir Ghasemkhani
Abstract
The Phasor Measurement Units commonly referred to as PMUs is a tool for collecting fine-grained measurements in power systems ranging from phase angles, current flows and voltage levels. The valuable insight derived from analyzing such extensive amounts of data plays an important role in monitoring, controlling and securing the power systems. However, analyzing vast amounts of constantly changing data collected through PMUs becomes challenging over time. Hence, there is a pressing need to create an effective visualization platform by employing modern web technologies such as Flask Python coupled with HTML/CSS web development programs. This visualization framework aims at simplifying readings through interactive illustrative designs, portraying aspects like time-series plots, and utilizing modern machine learning algorithms specifically designed for identifying anomalies in the system measurements. The practicality of the proposed framework will be corroborated by utilizing real-world PMU data obtained from U.S. western interconnections. The proposed monitoring framework will be useful in automatically analyzing PMU data while delivering vital insights about how power systems operate across various operating conditions.
Recommended Citation
Mandava, Nikhila, "PHASOR MEASUREMENT UNIT DATA VISUALIZATION" (2023). Electronic Theses, Projects, and Dissertations. 1721.
https://scholarworks.lib.csusb.edu/etd/1721