Safe control of thermostatically controlled loads with installed timers for demand side management

Abstract We develop safe protocols (SPs) to control ensembles of thermostatically controlled loads (TCLs) in order to provide power pulses to the grid without a subsequent oscillatory response. Such pulses can alleviate power fluctuations by intermittent resources and maintain balance between generation and demand. Building on a prior work [1], we introduce timers to endpoint TCL control enabling better shaping of power pulses. We demonstrate that such an upgrade can be used to create new safe protocols and enable load following applications with response at minute time scales. The advantage of this strategy is the use of only minimal aggregate information about a TCL ensemble and no need for additional control of TCLs to alleviate unwanted power oscillations.

[1]  B. J. Kirby,et al.  Spinning Reserve From Responsive Loads , 2003 .

[2]  Zhao Xu,et al.  Demand as Frequency Controlled Reserve , 2011, IEEE Transactions on Power Systems.

[3]  A. Debs,et al.  Statistical synthesis of power system functional load models , 1979, 1979 18th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[4]  D. Kirschen,et al.  Fundamentals of power system economics , 1991 .

[5]  Guy Desaulniers,et al.  A column generation method for optimal load management via control of electric water heaters , 1995 .

[6]  Johanna L. Mathieu,et al.  Modeling and Control of Aggregated Heterogeneous Thermostatically Controlled Loads for Ancillary Services , 2011 .

[7]  Goran Strbac,et al.  Demand side management: Benefits and challenges ☆ , 2008 .

[8]  B.J. Kirby Load Response Fundamentally Matches Power System Reliability Requirements , 2007, 2007 IEEE Power Engineering Society General Meeting.

[9]  R. Caglar,et al.  The effects of load parameter dispersion and direct load control actions on aggregated load , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).

[10]  Karanjit Kalsi,et al.  Aggregated modeling of thermostatic loads in demand response: A systems and control perspective , 2011, IEEE Conference on Decision and Control and European Control Conference.

[11]  R. E. Mortensen,et al.  A stochastic computer model for heating and cooling loads , 1988 .

[12]  S.E. Widergren,et al.  Modeling uncertainties in aggregated thermostatically controlled loads using a State queueing model , 2005, IEEE Transactions on Power Systems.

[13]  David M. Auslander,et al.  ROBUST CONTROL OF RESIDENTIAL DEMAND RESPONSE NETWORK WITH LOW BANDWIDTH INPUT , 2008 .

[14]  Ernesto Kofman,et al.  Load management: Model-based control of aggregate power for populations of thermostatically controlled loads , 2012 .

[15]  M. Klobasa Analysis of demand response and wind integration in Germany's electricity market , 2010 .

[16]  Shuai Lu,et al.  Development and Validation of Aggregated Models for Thermostatic Controlled Loads with Demand Response , 2012, 2012 45th Hawaii International Conference on System Sciences.

[17]  R. M. Delgado,et al.  Demand-side management alternatives , 1985, Proceedings of the IEEE.

[18]  M. Kintner-Meyer,et al.  Loads Providing Ancillary Services: Review of International Experience , 2008 .

[19]  Scott Backhaus,et al.  Modeling and control of thermostatically controlled loads , 2011 .

[20]  J. Oyarzabal,et al.  A Direct Load Control Model for Virtual Power Plant Management , 2009, IEEE Transactions on Power Systems.

[21]  S. El-Ferik,et al.  Identification of physically based models of residential air-conditioners for direct load control management , 2004, 2004 5th Asian Control Conference (IEEE Cat. No.04EX904).

[22]  R. Pratt,et al.  Use of Residential Smart Appliances for Peak-Load Shifting and Spinning Reserves Cost/Benefit Analysis , 2010 .

[23]  Fred Schweppe,et al.  Physically Based Modeling of Cold Load Pickup , 1981, IEEE Transactions on Power Apparatus and Systems.

[24]  Soumya Kundu,et al.  Safe Protocols for Generating Power Pulses with Heterogeneous Populations of Thermostatically Controlled Loads , 2012, 1211.0248.

[25]  Duncan S. Callaway Tapping the energy storage potential in electric loads to deliver load following and regulation, with application to wind energy , 2009 .

[26]  B. Kirby,et al.  Spinning Reserve from Hotel Load Response: Initial Progress , 2008 .

[27]  Jan Dimon Bendtsen,et al.  Efficient Desynchronization of Thermostatically Controlled Loads , 2013, ALCOSP.

[28]  Enrico Carpaneto,et al.  Analysis and modelling of thermostatically-controlled loads , 1996, Proceedings of 8th Mediterranean Electrotechnical Conference on Industrial Applications in Power Systems, Computer Science and Telecommunications (MELECON 96).

[29]  D. P. Chassin,et al.  The Equilibrium Dynamics of Thermostatic End-Use Load Diversity as a Function of Demand , 2004 .

[30]  Johanna L. Mathieu,et al.  State Estimation and Control of Heterogeneous Thermostatically Controlled Loads for Load Following , 2012, 2012 45th Hawaii International Conference on System Sciences.

[31]  N. Lu,et al.  Control strategies of thermostatically controlled appliances in a competitive electricity market , 2005, IEEE Power Engineering Society General Meeting, 2005.

[32]  Wei Zhang,et al.  Aggregate model for heterogeneous thermostatically controlled loads with demand response , 2012, 2012 IEEE Power and Energy Society General Meeting.

[33]  J. A. Fuentes,et al.  Probabilistic Characterization of Thermostatically Controlled Loads to Model the Impact of Demand Response Programs , 2011, IEEE Transactions on Power Systems.

[34]  Hosam K. Fathy,et al.  Modeling and control insights into demand-side energy management through setpoint control of thermostatic loads , 2011, Proceedings of the 2011 American Control Conference.

[35]  K. Schisler,et al.  The role of demand response in ancillary services markets , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition.

[36]  Abstr Act,et al.  Analysis and modelling , 2007 .

[37]  Soumya Kundu,et al.  Safe protocol for controlling power consumption by a heterogeneous population of loads , 2012, 2012 American Control Conference (ACC).

[38]  R. Malhamé,et al.  Electric load model synthesis by diffusion approximation of a high-order hybrid-state stochastic system , 1985 .

[39]  Ian A. Hiskens,et al.  Achieving Controllability of Electric Loads , 2011, Proceedings of the IEEE.