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Data-Driven Dynamic Modeling in Power Systems, Presented by: Lingling Fan, University of South Florida

30 May 2023 @ 11:00 am - 12:00 pm EDT

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Host: LaToya Gourdine

Agenda:
IEEE POWER & ENERGY SOCIETY

IEEE Power & Energy Society Live Online Learning

Topic: Data-Driven Dynamic Modeling in Power Systems

Presented by: Lingling Fan, Professor, University of South Florida

This webinar:
This webinar is one in the series of DOE Solar Energy Technologies Office (SETO) Open Energy Data Initiative – System Integration (OEDI-SI) webinar series. OEDI-SI is currently developing key software tools, datasets novel distribution state estimation, control optimization, and transient event analyses. This initiative will enable users to have access to open-source data and algorithms along with ability to incorporate user-specific data to perform distribution-level analyses.

This webinar introduces ways to identify dynamic system models using measurement data. Six applications will be covered: (1) synchronous generator model parameter identification; (2) aggregated load model parameter identification; (3) reduced-order model identification for control design; (4) admittance model identification for subsynchronous resonance (SSR) screening; (5) electromechanical oscillation mode identification from phasor measurement unit (PMU) data; and (6) inverter-based resource dynamic modeling for stability analysis.

Presenter bio:
Dr. Lingling Fan is a Professor at the Department of Electrical Engineering at the University of South Florida. Before joining the academia, she has worked in the grid operating industry MISO for six years. She received the B.S. and M.S. degrees in EE from Southeast University (Nanjing, China) in 1994 and 1997, respectively. She obtained the Ph.D. degree in EE from West Virginia University, Morgantown in 2001. Dr. Fan is an expert in the field of dynamics, control, and system identification. She serves as the Editor-in-Chief of IEEE Electrification Magazine. She was elevated to IEEE Fellow Class 2022 for her contributions to IBR stability analysis and control. She is the recipient of USF’s outstanding research achievement award in 2022 and has been featured IEEE PES social media in March 2022 to celebrate World Engineering Day and National Women’s History Month.

Details

Date:
30 May 2023
Time:
11:00 am - 12:00 pm EDT
Event Category:
Website:
https://ieee.webex.com/weblink/register/r1564c97a49f6b37ca11f2b3c17891b0a
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