Paper Info
Title
A Phase Model Based Control Of Periodic Deferrable Loads In Demand Response Programs
Abstract
A significant portion of electricity consumed worldwide is used to power thermostatically controlled loads (TCLs) such as air conditioners, refrigerators, and water heaters. Because the short-term timing of operation of such systems is inconsequential as long as their long-run average power consumption is maintained, they are increasingly used in demand response (DR) programs to balance supply and demand on the power grid. Here, we use the phase model representation of TCLs to design and evaluate control policies for modulating the power consumption of aggregated loads with parameter heterogeneity and stochastic drift. In particular, we design a phase model based minimum energy control law that modulates the duty cycle of a TCL in order to reduce its energy consumption. We further demonstrate that the designed control policy can be used to effectively modulate the aggregate power of a heterogeneous TCL population while maintaining load diversity and minimizing power overshoots. More importantly, an acceptable quality of service for the utility customers is maintained. The developed control policy can be used to compensate for the intermittent generation by renewable energy sources (RESs) such as wind and solar by regulating the aggregated load of a TCL ensemble, and hence will facilitate the broader integration of RESs.
Year
DOI
Venue
2018
10.1109/CDC.2018.8618923
2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC)
Field
DocType
ISSN
Air conditioning,Population,Renewable energy,Minimum energy control,Control theory,Computer science,Duty cycle,Electricity,Demand response,Energy consumption
Conference
0743-1546
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Walter Bomela100.34
Anatoly Zlotnik2407.49
Shin Li Jr.311219.45