Seminar by Dr. Nurcin Celik, Professor, The University of Miami
Abstract: Energy security and resilience are critical to our daily activities, yet the current electricity systems
are vulnerable and fragile against natural or human-made hazards and disasters as well as other abnormalities
in the system. Motivated by these challenges, this project investigates a new dynamic data driven monitoring
and control framework for smart energy systems with a focus on the critical infrastructures of microgrids and
their connection to the main power grid as it is becoming more and more vital to realize economic security and
reliability. However, real-time monitoring and inferencing in a large-scale system such as a power system under
limited computational resources is very challenging due to the excessive number of parameters and massive
data loads involved. New and effective methodologies that are capable of dealing with massive, highly
complex, and rapid moving data are needed to make useful discoveries and achieve punctual control over
these networks. Addressing this need, we focused our research efforts on data driven knowledge discovery by
real-time inferencing. To this end, the essentials of the developed decision making framework include 1) new
and advanced optimization models and algorithms for operation and control including a comprehensive
optimization model and a decomposition algorithm for the operation of off-grid AC microgrids, 2) multi-scale
adaptive simulation models (component level and battery load simulation models operating at high- and lowfidelities), and 3) instrumentation methods for decision making in a smart grid network including a demand
response model. The capabilities and performance of the investigated framework were initially tested on IEEE9, IEEE-30, and IEEE-118 test systems. Next, we will work on tractable robust optimization models for demand
response solutions, and stochastic optimization models for operation re-scheduling and topology reconfiguration problems.
Bio: NURCIN CELIK, Ph.D., is a Professor in the Department of Industrial and Systems
Engineering at the University of Miami (UM). She received her M.S. and Ph.D. degrees in
Systems and Industrial Engineering from the University of Arizona with magna cum laude.
Sponsored by AFOSR, Department of Defense, DOE, and the City of Coral Gables she has
worked on the development of integrated modeling and decision-making methodologies
for large-scale, complex, and dynamic systems with a focus on smart grids. Dr. Celik
received the Presidential Early Career Award for Scientists and Engineers from the White
House in 2017. She also received the UM Provost’s Award for Scholarly Activity 2011, 2015,
2019 & 2023, 2018 IISE CIS Best Paper Award, 2013 AFOSR Young Investigator Research
Award, and 2011 WSC Best Paper Award amongst others. She has served in the editorial board of academic
journals and conference organizations, and has been an ad-hoc reviewer for more than 15 journals. For
publication citations and impacts, see
Website: https://people.miami.edu/profile/88cee39f55138037196cc4ea916f8bdd
Google Scholar: https://scholar.google.com/citations?user=qXyC7fEAAAAJ&hl=en
Co-sponsored by: Wayne State University Industrial and Systems Engineering
Bldg: Engineering Building, 5050 Anthony Wayne Drive, Detroit, Michigan, United States, Virtual: https://events.vtools.ieee.org/m/480598
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