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Multi-scale stochastic optimization for Home Energy Management

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6 Author(s)
Liyan Jia ; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853, USA ; Zhe Yu ; Mary C. Murphy-Hoye ; Annabelle Pratt
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The problem of scheduling and control of appliances for Home Energy Management (HEM) is considered. A multi-time scale and multi-stage stochastic optimization framework is proposed for the control of the Heating, Ventilation, and Air Conditioning (HVAC) unit, the charging of Plug-in Hybrid Electric Vehicle (PHEV), and the scheduling of deferrable load such as washer/dryer operations. Formulated as a constrained stochastic optimization that incorporates thermal dynamics, temperature measurements, and the real time pricing signal, a model predictive control algorithm is proposed that minimizes customer's discomfort level subject to cost and peak power constraints.

Published in:

Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011 4th IEEE International Workshop on

Date of Conference:

13-16 Dec. 2011