Managing time-substitutable electricity usage using dynamic controls
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.
- Research Organization:
- INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- OE0000190
- Assignee:
- INTERNATIONAL BUSINESS MACHINES CORPORATION
- Patent Number(s):
- 9,563,924
- Application Number:
- 13/918,312
- OSTI ID:
- 1343280
- Country of Publication:
- United States
- Language:
- English
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journal | July 2012 |
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