Towards Cooperative Grids: Sensor/Actuator Networks for Renewables Integration

Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this type. We identify two classes of dispatchable energy loads, and create models for these loads to match their consumption to the generation of energy sources, while introducing {\em slack}, a generalized measure of dispatchability of energy. From these load models, we examine a number of techniques and considerations for source-following loads, including the sensitivity of thermostat constraints and the effects of aggregating appliance populations. Our results show a home heater that is able to reduce energy consumption by over 50% while increasing the proportion of renewable energy consumed versus grid energy.

[1]  T Joseph Lui,et al.  Get Smart , 2010, IEEE Power and Energy Magazine.

[2]  David J. C. MacKay Sustainable Energy - Without the Hot Air , 2008 .

[3]  B. Roberts,et al.  Capturing grid power , 2009, IEEE Power and Energy Magazine.

[4]  Kwang Ho Lee,et al.  Energy savings from extended air temperature setpoints and reductions in room air mixing - eScholarship , 2005 .

[5]  D. Edelson,et al.  Change in the air , 2009, IEEE Power and Energy Magazine.

[6]  Alec Brooks,et al.  Demand Dispatch - Using Real-Time Control of Demand to help Balance Generation and Load , 2010 .

[7]  John Twidell,et al.  Book Review: Wind Energy — The Facts , 2009 .

[8]  Francesco Borrelli,et al.  Model Predictive Control of thermal energy storage in building cooling systems , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

[9]  David E. Culler,et al.  Design and implementation of a high-fidelity AC metering network , 2009, 2009 International Conference on Information Processing in Sensor Networks.