Smart Fridge / Dumb Grid? Demand Dispatch for the Power Grid of 2020

In discussions at the 2015 HICSS meeting, it was argued that loads can provide most of the ancillary services required today and in the future. Through load-level and grid-level control design, high-quality ancillary service for the grid is obtained without impacting quality of service delivered to the consumer. This approach to grid regulation is called demand dispatch: loads are providing service continuously and automatically, without consumer interference. In this paper we ask, what intelligence is required at the grid-level? In particular, does the grid-operator require more than one-way communication to the loads? Our main conclusion: risk is not great in lower frequency ranges, e.g., PJM's RegA or BPA's balancing reserves. In particular, ancillary services from refrigerators and pool-pumps can be obtained successfully with only one-way communication. This requires intelligence at the loads, and much less intelligence at the grid level.

[1]  Fred Schweppe,et al.  Homeostatic Utility Control , 1980, IEEE Transactions on Power Apparatus and Systems.

[2]  M. Omizo,et al.  Modeling , 1983, Encyclopedic Dictionary of Archaeology.

[3]  P. Caines.  Linear Stochastic Systems , 1988 .

[4]  R. Malhamé,et al.  On the statistical properties of a cyclic diffusion process arising in the modeling of thermostat-controlled electric power system loads , 1988 .

[5]  P. Kundur,et al.  Power system stability and control , 1994 .

[6]  B. Kirby,et al.  Frequency Regulation Basics and Trends , 2005 .

[7]  Kevin Martin Brokish.  Adaptive load control of microgrids with non-dispatchable generation , 2009 .

[8]  Alec Brooks,et al.  Demand Dispatch , 2010, IEEE Power and Energy Magazine.

[9]  R. Baldick.  THE EFFECTS OF VERY FAST RESPONSE TO FREQUENCY FLUCTUATION , 2012 .

[10]  Sean P. Meyn,et al.  How demand response from commercial buildings will provide the regulation needs of the grid , 2012, 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

[11]  Johanna L. Mathieu.  Modeling, Analysis, and Control of Demand Response Resources , 2012 .

[12]  Hector Chavez,et al.  Regulation Adequacy Analysis Under High Wind Penetration Scenarios in ERCOT Nodal , 2012, IEEE Transactions on Sustainable Energy.

[13]  Robert Eriksson,et al.  Influence of the increasing non-synchronous generation on Small Signal Stability , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[14]  Rebecca C. Carroll,et al.  Performance-based regulation model in PJM wholesale markets , 2014, 2014 IEEE PES General Meeting | Conference & Exposition.

[15]  Nicholas W. Miller,et al.  Western Wind and Solar Integration Study Phase 3 – Frequency Response and Transient Stability , 2014 .

[16]  Ana Busic,et al.  Individual risk in mean-field control models for decentralized control, with application to automated demand response , 2014, CDC 2014.

[17]  Ana Busic,et al.  Individual risk in mean field control with application to automated demand response , 2014, 53rd IEEE Conference on Decision and Control.

[18]  Ana Busic,et al.  Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid , 2015, 2015 48th Hawaii International Conference on System Sciences.

[19]  Ana Busic,et al.  Ancillary Service to the Grid Using Intelligent Deferrable Loads , 2014, IEEE Transactions on Automatic Control.

[20]  Ana Busic,et al.  State estimation and mean field control with application to demand dispatch , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

[21]  Sean P. Meyn,et al.  Experimental Evaluation of Frequency Regulation From Commercial Building HVAC Systems , 2015, IEEE Transactions on Smart Grid.