Active PAR

P3139

Guide for Power Quality Data Analytics

This guide provides an overview of new and existing methods to extract meaningful information from power quality (PQ) data using data analytics. PQ data may include value logs (time series), waveforms (point on wave), phasors, spectrums, and characteristics recorded during PQ disturbances such as voltage sags, voltage swells, transients, rapid voltage change events, and metadata related to PQ data. Analytic techniques such as feature engineering, transformation, and machine learning are presented. Pre-processing of data includes methods for data collection, wrangling, structuring, and data quality. Effective methods of presentation and reporting of data are covered, including charting, geospatial, and other visualizations. Case studies are provided demonstrating examples of PQ data analytics. Roles of personnel managing PQ data analytics are included. These can include PQ subject matter experts, data engineers, data analysts, data scientist, and end-users/stakeholders.

Standard Committee
PE/T&D - Transmission and Distribution
Status
Active PAR
PAR Approval
2021-12-08

Working Group Details

Society
IEEE Power and Energy Society
Standard Committee
PE/T&D - Transmission and Distribution
Working Group
PQAD - Working Group on Power Quality Data Analytics
Learn More About PQAD - Working Group on Power Quality Data Analytics
IEEE Program Manager
Michael Kipness
Contact Michael Kipness
Working Group Chair
Kevin Kittredge

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