Milad

Synchro-waveforms are a powerful new technology for monitoring and situational awareness of power systems. Synchro-waveforms are obtained from a new class of smart grid sensors called Waveform Measurement Units (WMUs). WMUs provide precise time-synchronized voltage waveform and current waveform measurements in time-domain. They show the wave-shape of the voltage and current at very high resolutions. WMUs operate at very high reporting rates, such as at 256 samples per cycle, i.e., 15,360 recordings per second. This is much higher than the sampling rate of practically every other smart grid sensor, such as phasor measurement units (PMUs). At such a high reporting rate, a WMU reports 7,962,624,000 data points per day. This is an overwhelming amount of data that requires high-performance computing to analyze. Further, WMUs use a global positioning system (GPS) clock to precisely synchronize the sampling of waveforms across different WMUs, enabling precise time synchronization of the reported synchro-waveforms. The availability of synchro-waveform measurements can significantly enhance our understanding and awareness about the status of the power electric grid than traditional measurements. Therefore, synchro-waveforms introduce a new era of power systems monitoring and situational awareness. Synchro-waveforms offer groundbreaking applications in 1) event detection and classification, 2) event location identification, 3) network parameter estimation, 4) asset monitoring, 5) incipient faults detection, and more importantly 6) wildfire monitoring.

Biography:

Dr. Milad Izadi is a power systems engineer at Electric Power Engineers, LLC. He is interested in the intersection of data analysis, machine learning, optimization, and simulation in power systems applications. Dr. Izadi initiated the new topic of Synchro-Waveforms (also known as time-synchronized waveform measurements) in 2019. Since then, he has made pioneering contributions towards using synchro-waveforms for power systems applications, resulting in 8 publications so far, including 1 patent, 3 journal papers, 1 book chapter, and 3 conference papers, along with a number of presentations and invited talks. One of his publications on synchro-waveforms is currently ranked as the most cited article in the IEEE Transactions on Smart Grid. Dr. Izadi invented a new graphical tool, synchronized Lissajous curve, to detect and classify events in power systems. He was granted the first U.S. patent on the topic of synchro-waveforms. He received his M.Sc. degree in Electrical Engineering from Sharif University of Technology, Tehran, Iran, in 2017 and his Ph.D. degree in Electrical Engineering from the University of California, Riverside, CA, USA, in 2022. He was the Best Reviewer of the IEEE Transactions on Smart Grid in 2019 and received the Best Master Thesis Award from the Smart Grid Conference, Iran, in 2019.

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