Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.


Stochastic Battery Models for Flexible Loads

It is widely accepted that load flexibility will be a key enabler for deep renewable integration. Flexible loads can displace expensive load-following reserves necessary to accommodate renewable variability. We consider two classes of flexible loads: electric vehicles and thermostatically controlled loads. In each case, we show that the aggregate flexibility can be modeled as electricity storage. Uncertainty from ambient conditions, availability, and other factors require us to treat the storage model stochastically. This simple, portable model greatly simplifies regulation procurement. Upstream, it isolates the system operator from the load details, and downstream it allows handling AGC commands from the system operator as operational constraints. We then discuss fair payment for regulation services based on cost-causation. Finally, we discuss the architectural implications of this work for scalable micro grids.

Type of Seminar:
IfA Seminar
Prof. Kameshwar Poolla
College of Engineering, University of California Berkeley
Jul 09, 2013   16:15

ETZ E6, Gloriastrasse 35
Contact Person:

Manfred Morari
File Download:

Request a copy of this publication.
Biographical Sketch:
Kameshwar Poolla is the Cadence Distinguished Professor at UC Berkeley in EECA and ME. His current research interests include many aspects of future energy systems including economics, security, and commercialization.