Welcome to the IEEE Task Force on Big Data Analytics for Synchro-Waveform Measurements

Waveforms are the most granular and authentic representation of voltage and current in power systems. With the latest advancements in power system sensor technologies, it is now possible to obtain time-synchronized waveform measurements, i.e., synchro-waveforms, from different locations of a power system. Synchro-waveforms can capture the most inconspicuous disturbances that are overlooked by other types of time-synchronized sensors, such as synchro-phasors. They also monitor system dynamics at much higher frequencies as well as much lower frequencies than the fundamental components of voltage and current that are commonly monitored by synchro-phasor data analytics tools. Therefore, synchro-waveforms introduce a new frontier to advance power system situational awareness, system dynamics tracking, incipient fault detection and identification, condition monitoring, and so on.

By collecting data at a much higher reporting rate than synchro-phasors, synchro-waveforms create a new challenge in Big Data Analytics (BDA) in power systems.  

The IEEE Task Force on Big Data Analytics for Synchro-Waveform Measurements was established in July 2023 to promote big data analytics methodologies and applications of high-resolution waveform and synchro-waveform measurements in power systems. We seek to facilitate industry acceptance of this new data-intensive technology, identify challenges and opportunities, and encourage collaboration between academia and industry.

IEEE PES Subcommittee: Big Data Analytics for Power Systems

Webmaster: Fatemeh Ahmadi-Gorjayi (Email: fahma012@ucr.edu)