EECS500 Fall 2014 Department Colloquium

Siddharth Suryanarayanan
An aggregator-based resource allocation technique for demand response in the Smart Grid
Colorado State University
White 411
October 16, 2014

We utilize a for-profit aggregator-based residential demand response (DR) approach to the Smart Grid resource allocation problem. The aggregator entity, using a given set of schedulable residential customer assets (e.g., smart appliances), must set a schedule to optimize for a given objective. Here, we consider optimizing for the profi t of the aggregator. To encourage customer participation in the residential DR program, a new pricing structure named customer incentive pricing is proposed. To validate our heuristic framework, we simulate the optimization of a large-scale system consisting of 5,555 residential customer households and 56,642 schedulable assets using real pricing data over a period of 24-hours. We show that by optimizing purely for economic reasons, the aggregator can enact a beneficial change on the load profile of the overall power system.


Siddharth Suryanarayanan is an Associate Professor in the Department of Electrical and Computer Engineering at Colorado State University where he teaches and conducts sponsored research in the area of electric power systems. He is the author of 24 journal publications, 45 conference proceedings, and numerous technical reports and white papers. He is a senior member of the IEEE and actively contributes to the Power & Energy Society (PES). He obtained his Ph.D. in electrical engineering in 2004 from Arizona State University. More information on his research and teaching can be found here: http://www.engr.colostate.edu/~ssuryana/.