[ISS4E] Reminder: Talk by Prof. Pascal van Hentenryck on Thursday October 24th at 4pm in DC 2585

Srinivasan Keshav keshav at uwaterloo.ca
Wed Oct 23 16:50:44 EDT 2013


Approximations and Relaxations of Power Flow Equations

	Prof. Pascal van Hentenryck
	NICTA, Australia

	4:00 pm Thursday October 24th
	Room 2585, Davis Center

The design, control, and operation of the power grid, probably the
largest and most expansive system ever engineered, require the solving
of optimization problems over the steady-state power flow equations.
The resulting mixed nonconvex programs are often computationally
challenging and increasingly so with the increased stochasticity in
generation and load.

This talk presents a number of advances in approximating and relaxing
the power flow equations to address emerging applications in power
systems, including large-scale power restoration after blackouts, the
design of resilient networks, and the integration of renewable
generation. Extensive computational results demonstrate some of the
benefits of the proposed techniques. 

(Joint work with Carleton Coffrin and Hassan Hijazi)


Van Hentenryck is the leader of the Optimization Research Group (about
60 people) at NICTA, the Australian Center of Excellence for ICT
Research. He also holds the Strategic Chair in Data-Intensive
Computing at the Australia National University. He is the recipient of
two Honorary degrees, the 2002 INFORMS ICS Award for research
excellence at the intersection of operations research and computer
science, the 2006 ACP Award for research excellence in constraint
programming, and the 2010-2011 Philip J. Bray Award for Excellence in
Undergraduate Teaching at Brown University. He is a 2013 IFORS
distinguished lecturer and a fellow of the Association for the
Advancement of Artificial Intelligence. Van Hentenryck is the author
of five MIT Press books and has developed a number of innovative
optimization systems that are widely used in academia and industry.
He also teaches a massively open online course in Discrete
Optimization with Coursera.

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