Thursday, March 20, 2014 - 8:45am to 9:45am
KEC 1007

Speaker Information

Borhan M. Sanandaji
Postdoctoral Scholar
Electrical Engineering and Computer Sciences department
University of California, Berkeley


Vast and deep integration of renewable energy resources into the existing power grid is essential in achieving the envisioned sustainable energy future. Many countries around the globe as well as many states in the U.S. have set up aggressive Renewable Portfolio Standards (RPSs). The state of California, as an example, has targeted a 33% RPS by 2020. Volatility, stochasticity, and intermittency characteristics of renewable energies, however, present a challenge for integrating these resources into the existing grid in a large scale as the proper functioning of an electric grid requires an instantaneous and continuous power balance between supply and demand. In this talk, we see how the demand-side flexibility can be used to match random supply. In particular, we show that the thermal storage potential of a collection of Thermostatically Controlled Loads (TCLs) (such as residential air conditioners) can be modeled as a battery and can be leveraged for enabling a deep penetration of renewable energy resources.

Speaker Bio

Borhan M. Sanandaji is a postdoctoral scholar at the University of California, Berkeley in the Electrical Engineering and Computer Sciences department. He received his Ph.D. degree (2012) in electrical engineering from the Colorado School of Mines and his B.Sc. degree (2004) in electrical engineering from the Amirkabir University of Technology (Tehran, Iran). He is the author of more than 20 publications in journals and peer-reviewed conferences in which he has been awarded the best presentation in session award (ACC 2011) and best paper award nominee (HICSS 2014). His research interests include energy systems, sparse signal processing and compressive sensing, system identification, and control theory. In particular, the current focus of his research is on ancillary service provision by aggregated flexible loads, cyber security and attack detection, and big physical data analytics in energy systems.