Skip to Content
Find More Like This
Return to Search


United States Patent Application

View the Complete Application at the US Patent & Trademark Office
A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.
GHOSH, Soumyadip (PeekSkill, NY), HOSKING, Jonathan R. (Scarsdale, NY), NATARAJAN, Ramesh (Pleasantville, NY), SUBRAMANIAM, Shivaram (Danbury, CT), ZHANG, Xiaoxuan (Park Ridge, NJ)
15/ 352,054
November 15, 2016
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH [0002] This invention was made with Government support under Contract No.: DE-OE0000190 awarded by the Department of Energy. The Government has certain rights in this invention.