SMC Chapter Seminar on Integrating Data-driven Approaches to Improve Performance of Solving SCUC

#Big #data #Power #systems

IEEE Northern Jersey Section, SMC Chapter Seminar
Integrating Data-driven Approaches to Improve Performance of Solving SCUC
Place: Online meeting at 10am, Tue., 9/28/2021
Link: https://njit.webex.com/meet/zhou

ABSTRACT:
This talk presents an approach that integrates a data-driven approach
into a solution procedure for a security constrained unit commitment
model (SCUC). SCUC is one of the fundamental models in power systems.
Solving it provides a key operating strategy in power systems.
Nowadays, there are many methods proposed to solve SCUC. However,
every method has its advantages and disadvantages when solving
different cases of SCUC. A data-driven approach learns from a huge
amount of historical data and is helpful to select a proper solution
method for specific cases of SCUC. In our study, for any specific
case, a data-driven approach chooses one from two solution methods: a
conventional method and an aggregation one. At last, we implement our
idea in the IEEE 118-bus system with real load curves and obtain a
desired performance.

BIOGRAPHY:
XIAOYU SEAN LU (Member, IEEE) received the B.S. degree from the
Nanjing University of Technology, Nanjing, China, in 2011, and the
M.S. and Ph.D. degrees from the New Jersey Institute of Technology,
Newark, NJ, USA, in 2015 and 2019, respectively. He was a Research
Scholar with the Department of Electrical and Computer Engineering,
Stevens Institute of Technology, Hoboken, NJ, USA. He has published
more than 10 articles in journals and conference proceedings,
including the IEEE TRANSACTIONS ON SYSTEM, MAN AND CYBERNETICS:
SYSTEMS, the IEEE/CAA JOURNAL OF AUTOMATICA SINICA, and the IEEE
TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. His current research
interests include deep learning, data processing, data mining, social
media data analysis, and their applications in smart grids and
healthcare.

Contact: Mengchu Zhou, Ph.D. & Dist. Professor, Chair of IEEE SMC
Chapter, zhou@njit.edu

Online meeting at 10am-11:05am, Tue., 9/28/2021
Link: https://njit.webex.com/meet/zhou