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Time-Domain Power Quality Monitoring Using Synchro-Waveform Measurements
Time: 1:00pm – 5:00pm
Instructor(s):
Richard Kirby, Schweitzer Engineering Laboratories, Inc.
Hemanth Kumar Vemprala, Schweitzer Engineering Laboratories, Inc.
Tanushri Doshi, Schweitzer Engineering Laboratories, Inc.
Clifford Galli, Schweitzer Engineering Laboratories, Inc.
Phil Stoaks, Schweitzer Engineering Laboratories, Inc.
Drew Cannon, Schweitzer Engineering Laboratories, Inc.
Prerequisites:
A basic background in three phase electric power systems to understand the terms generation, transmission, distribution, load, power flow and energy transfer.
Abstract:
This tutorial presents the transition from conventional synchrophasor measurement to synchro-waveform measurement. It introduces continuous waveform streaming and recording and explains how time-synchronized waveform data provides visibility into power system behavior beyond traditional phasor measurements. The tutorial describes the key capabilities of synchro-waveform measurement, including waveform streaming at 14.4 ksps and at 1 Msps, enabling more in-depth power quality analysis of power systems.
The tutorial also demonstrates how time-domain, sampled waveform data supports applications such as odd order harmonic measurement, event detection, and performance monitoring in systems with rapidly varying computational loads, including large AI data center facilities. The tutorial presents practical examples illustrating the use of a waveform measurement unit and a recording system to capture and store synchro-waveform data. From this data, software-derived phasor quantities, odd-order harmonics, and conventional 200 ms time-averaged measurements are calculated in real time.
Case studies show how detailed waveform visibility enables observation of oscillatory behavior and active power ramp rates associated with AI training and inference workloads, supporting assessment of their potential impacts on grid reliability and customer service continuity. Observation of oscillations and active power ramp rates under training and inference conditions are also presented in the tutorial, as well as methods for generating event notifications and event records for abnormal system conditions. Through these examples, attendees will gain an understanding of how synchro-waveform technology can complement traditional monitoring approaches and strengthen both grid resilience and customer resilience in increasingly dynamic electric power systems.