Advanced Prediction Techniques Applied to Smart Grids
IEEE PES - Schenectady Chapter is excited to host a virtual webinar/Distinguished Lecture on the topic of "Advanced Prediction Techniques Applied to Smart Grids". This technical presentation will also offer one (1) continuing education credits (PDH). The PES chapter would like to invite you to participate and learn from a well know power system modeling researcher and expert.
Speaker: Prof. C.Y. Chung form The Hong Kong Polytechnic University.
Cost:
- $10 for IEEE Members (Includes 1 PDH credit)
- $15 for Non-IEEE Members (Includes 1 PDH credit)
- Free for General Admission (No PDH credit)
- Free for Student and Graduate Student Members (No PDH credit)
(All payments must be received by August 23, 2023).
Time: Thursday, August 24, 2023 at 12 PM, EDT
Reserve your seat by clicking on the below Register Now Tab.
Abstract:
The power system industry is shifting towards a new digitalization 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.
Date and Time
Location
Hosts
Registration
- Date: 11 Sep 2023
- Time: 12:00 PM to 01:00 PM
- All times are (UTC-04:00) Eastern Time (US & Canada)
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IEEE PES Schenectady Chapter (alkesh.v.patel@ieee.org, rohit.kadam@ieee.org)
- Starts 03 August 2023 01:00 PM
- Ends 08 September 2023 11:00 AM
- All times are (UTC-04:00) Eastern Time (US & Canada)
- Admission fee ?
Speakers
C.Y. Chung
Advanced Prediction Techniques Applied to Smart Grids
Biography:
Spekaer Bio:
Prof. C.Y. Chung is the Head of Department and Chair Professor of Power Systems Engineering in the Department of Electrical Engineering at the Hong Kong Polytechnic University (HKPolyU), Hong Kong, China. Before re-joining the department, Prof. Chung was the NSERC/SaskPower Senior Industrial Research Chair in Smart Grid Technologies, and the SaskPower Chair in Power Systems Engineering at the University of Saskatchewan, Canada. He was a prominent leader for advancing academic activities and applied research in power systems engineering development in the province. He led a research team, supported by SaskPower and NSERC of Canada, to conduct cutting-edge and long-term smart grid research for SaskPower and address critical technical issues associated with smart grid technologies and their applications to real power systems.
Prof. Chung has been very active in professional societies. He was the Member-at-Large (Smart Grid) and Member-at-Large (Global Outreach) of IEEE PES Governing Board, the IEEE PES Region 10 North Chapter Representative, and a member of IEEE PES Fellow Evaluation Committee. He was the Past Chairman of the IEEE Hong Kong Section, IEEE Hong Kong Joint Chapter of PES/IAS/PELS/IES and IET Hong Kong PES.
Prof. Chung is a Consulting Editor of “IEEE Transactions on Sustainable Energy”, a Vice Editor-in-Chief of “Journal of Modern Power Systems and Clean Energy”, and a Subject Editor of “IET Generation, Transmission & Distribution”.
Prof. Chung is a Fellow of the Canadian Academy of Engineering, a Fellow of IEEE, EIC, IET, HKIE, and AAIA, and an IEEE PES Distinguished Lecturer. He is also the recipient of the 2021 IEEE Canada P. Ziogas Electric Power Award and 2021 Saskatoon Engineering Society (SES) Educator of the Year Award.
Email:
Address:The Hong Kong Polytechnic University,