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PMUVis : A Large-Scale Platform to Assist Power System Operators in a Smart Grid
IEEE Computer Graphics and Applications
|April 29, 2022
Summary
New visualization tools like PMUVis help analyze noisy data from phasor measurement units (PMUs) in electric power grids. This enhances real-time monitoring of grid events and operator capabilities.
Area of Science:
- Electrical Engineering
- Computer Science
- Data Visualization
Background:
- Electric power grids are increasingly deploying GPS-enabled phasor measurement units (PMUs) for real-time monitoring.
- Large volumes of noisy data from PMUs pose challenges for analyzing grid events like power oscillations and load fluctuations.
Purpose of the Study:
- To address the visualization challenges associated with PMU data.
- To develop a scalable visualization platform for analyzing electric power grid events.
Main Methods:
- Developed PMUVis, a novel visualization platform for electric power grids.
- Incorporated a Fast Fourier Transform (FFT)-based approach for analyzing raw and aggregated PMU data.
- Focused on scalable analysis of grid network topology and anomalous events.
Main Results:
- PMUVis supports scalable analysis of grid network topology and anomalous events in near real-time.
- The FFT-based approach effectively examines oscillation event propagation through the grid network.
- Expert reviews and a case study validated the platform's utility.
Conclusions:
- Visualization is crucial for enhancing real-time spatiotemporal grid analysis.
- PMUVis advances operator capabilities in monitoring and controlling electric power grids.
- The platform demonstrates the potential of advanced visualization techniques for power system operations.
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