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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Javad Lavaei
Ph.D. Degree in Control & Dynamical Systems California Institute of Technology
Postdoctoral jointly at the Electrical Engineering Department and the Precourt Institute for Energy of Stanford University
Title:
Resource Allocation for Electrical Power Networks
Abstract:
The idea of upgrading today's electrical power grid into a Smart Grid has been seriously considered by the electric power industry, regulators, and government agencies to improve efficiency, reliability, economics, and sustainability of electricity services. Smart grid architecture should support distributed generation units, renewable energy, electric vehicles and demand-response mechanisms. In this talk, I will first outline my research projects on different aspects of the smart grid, namely control & stability of distributed generation units, renewable & storage, operation planning, and electricity market. Then, I will mainly focus on the operation planning problem.
Optimization problems for the operation planning such as resource allocation, state estimation and scheduling, are hard to solve due to the nonlinearity introduced by physical laws. I will show that there is an efficient method to tackle this nonlinearity by exploiting the physics of a power circuit. In particular, I will talk about the optimal power flow (OPF) problem, which has been studied for nearly 5 decades. Despite the fact that OPF is NP-hard in the worst case, I will prove that practical OPF problems are likely solvable in polynomial time due to the physics of a power network. I will derive various theories by studying different layers of an electrical network separately. Finally, I will talk about our recent solver for large-scale OPF problems, which is able to globally solve a 10,000-bus nonlinear (non-convex) OPF problem in a fraction of a second on a single-core machine.
Bio:
Javad Lavaei received the B.Sc. degree in electronics engineering from the Sharif University of Technology in 2003 and the M.A.Sc. degree in electrical engineering from Concordia University in 2007. He obtained the Ph.D. degree in control & dynamical systems from the California Institute of Technology in 2011, and is currently a postdoctoral scholar jointly at the Electrical Engineering Department and the Precourt Institute for Energy of Stanford University. He is the recipient of the Milton and Francis Clauser Doctoral Prize for the best university-wide Ph.D. thesis, entitled “Large-Scale Complex Systems: From Antenna Circuits to Power Grids”. He has worked on different interdisciplinary problems in power systems, networking, communications, circuits, distributed computation, optimization, and control.
Javad Lavaei is a senior member of IEEE and his professional activities include serving as a co-chair for the Control & Robotics Symposium in both 23rd and 24th IEEE Canadian Conference on Electrical and Computer Engineering. He has won several prestigious awards, including the Governor General’s Gold Medal given by the Government of Canada, Northeastern Association of Graduate Schools Master’s Thesis Award, Postgraduate Scholarship from the Natural Sciences and Engineering Research Council of Canada (NSERC), New Face of Engineering in 2011, and Silver Medal in the 1999 International Mathematical Olympiad.
