Please note the start time it 6:00 PM Pacific Time. The power system industry is shifting towards a new digitization era to better manage risk within volatile energy commodities, increase customer engagement, and enhance efficiency via grid optimization. Data analytics play a vital role in this transformation and, as such, different measurement architectures have been used and implemented to facilitate data capturing process and supervisory control at the generation, transmission, and distribution levels. This seminar will briefly review the recent outcomes of some smart grid challenges addressed by novel prediction techniques. At the generation level, decomposition techniques have been applied to handle the inherent uncertainty in short-term wind power prediction. At the transmission level, dynamic thermal line rating prediction has been studied as a viable solution to reduce congestion and utilize the actual capacity of the line. Considering the high inclusion of phasor measurement units at the transmission level, cutting-edge methods have been proposed to address stability status prediction of the grid following a contingency. Finally, at the distribution level, real-life data obtained from advanced metering infrastructure have been used for load prediction and customer segmentation.
You must register in advance on Eventbrite and keep your Eventbrite login. Then log in to Eventbrite 30 minutes beforehand to be linked to the zoom event. There is a limit to the number of participants.
Speaker(s): Prof. C.Y. Chung,
Agenda:
6:00 Welcome, Introduction to PES/IAS chapter
6:10 Introduction to Prof Chung
6:15 Presentation
7:00 Q&A
Virtual: https://events.vtools.ieee.org/m/368595
Advanced Prediction Techniques Applied to Smart Grids
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