Spectral Decomposition of Demand-Side Flexibility for Reliable Ancillary Services in a Smart Grid

This paper describes a new way of thinking about demand-side resources to provide ancillary services to control the grid. It is shown that loads can be classified based on the frequency bandwidth of ancillary service that they can offer. If demand response from loads respects these frequency limitations, it is possible to obtain highly reliable ancillary service to the grid, while maintaining strict bounds on the quality of service (QoS) delivered by each load. It is argued that automated demand response is required for reliable control. Moreover, some intelligence is needed at demand response loads so that the aggregate will be reliable and controllable.

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

[2]  E. Hirst,et al.  Generator response to intrahour load fluctuations , 1996 .

[3]  E R Hamilton,et al.  Considerations for generation in an islanded operation , 2009, 2009 Record of Conference Papers - Industry Applications Society 56th Annual Petroleum and Chemical Industry Conference.

[4]  B. Kirby,et al.  Providing Reliability Services through Demand Response: A Preliminary Evaluation of the Demand Response Capabilities of Alcoa Inc. , 2009 .

[5]  Duncan S. Callaway,et al.  Decentralized charging control for large populations of plug-in electric vehicles: Application of the Nash certainty equivalence principle , 2010, 2010 IEEE International Conference on Control Applications.

[6]  Scott Manson,et al.  Considerations for Generation in an Islanded Operation , 2010 .

[7]  Jean-Yves Le Boudec,et al.  Satisfiability of Elastic Demand in the Smart Grid , 2010, ArXiv.

[8]  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).

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

[10]  Duncan S. Callaway,et al.  Demand Response Providing Ancillary Services A Comparison of Opportunities and Challenges in the US Wholesale Markets , 2012 .

[11]  Hamidou Tembine,et al.  A mean field game analysis of electric vehicles in the smart grid , 2012, 2012 Proceedings IEEE INFOCOM Workshops.

[12]  C. Lindsay Anderson,et al.  The Influence of Demand Resource Response Time in Balancing Wind and Load , 2013, 2013 46th Hawaii International Conference on System Sciences.

[13]  Aileen B. Currier,et al.  Market and policy barriers to energy storage deployment , 2013 .

[14]  Elena Marie Krieger,et al.  Effects of variability and rate on battery charge storage and lifespan , 2013 .

[15]  Sean P. Meyn,et al.  Low-frequency power-grid ancillary services from commercial building HVAC systems , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[16]  David P. Chassin.  Load Control Analysis for Intermittent Generation Mitigation , 2013, 2013 46th Hawaii International Conference on System Sciences.

[17]  Ufuk Topcu,et al.  Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control , 2013, ArXiv.

[18]  Johanna L. Mathieu,et al.  State Estimation and Control of Electric Loads to Manage Real-Time Energy Imbalance , 2013 .

[19]  Palle Andersen,et al.  Aggregation and Control of Flexible Consumers: A Real Life Demonstration , 2014 .

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

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

[22]  Scott Backhaus,et al.  Model Development and Identification for Fast Demand Response in Commercial HVAC Systems , 2014, IEEE Transactions on Smart Grid.

[23]  Sean P. Meyn,et al.  Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems , 2014, IEEE Transactions on Smart Grid.

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

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