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Monday, April 30, 2012
10:30 AM - 12:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Smart Grid

Extracting Flexibility from the Demand Side: Pricing and Control

Eilyan Bitar
Visiting Assistant Professor at Cornell University in the Department of Electrical and Computer Engineering, Postdoctoral Fellow in Department of Computing + Mathematical Science at Caltech and at the University of California

As the penetration of wind and solar energy into the electric grid continues to grow, there will be an increasing need to evolve demand-side solutions capable of compensating the inherent variability in power supply from such resources. Today, demand is largely treated as inelastic. However, the power requirements of many commercial and residential loads are such that a fraction of power demand at any given moment is inherently deferrable in time subject to a deadline constraint on the total energy supplied. In this talk, I'll discuss some limitations of spot pricing mechanisms (e.g., real-time pricing) as a means of inducing responsive demand and suggest a novel forward contracting mechanism for deadline-differentiated pricing of deferrable energy to alleviate these difficulties. Essentially, consumers who are willing to defer their consumption further in time will receive a more favorable per-unit price for energy. The supply side is modeled stochastically to capture variability in renewable power supply. Using a general model for consumer preferences to capture the effect of consumption deferral on utility, we prove the existence of a competitive equilibrium and provide a characterization of deadline-differentiated prices yielding such an equilibrium. I'll also discuss provably optimal online scheduling algorithms to dynamically allocate the variable supply to a bundle of deadline-differentiated energy tasks. Eilyan Bitar (B.S., Ph.D., UC Berkeley) is currently a Visiting Assistant Professor at Cornell University in the Department of Electrical and Computer Engineering. Concurrently, for the 2011-2012 academic year, he's engaged as a Postdoctoral Fellow in department of Computing + Mathematical Science at the California Institute of Technology and at the University of California, Berkeley in Electrical Engineering and Computer Science. Dr. Bitar's research interests include stochastic optimization and control of complex networks with emphasis on the redesign of electric grid operations and markets to facilitate the deep integration of renewable energy.

Host: Misha Chertkov, chertkov@lanl.gov, 665-8119