Stochastic modelling of aggregated thermal loads for impact analysis of demand side frequency regulation in the case of Sardinia in 2020

Abstract This paper proposes a model of the thermal dynamics and of the end-use of domestic refrigerators (fridges) and water heaters (boilers) in the foretasted scenario of the Sardinian electric network in 2020. This model is employed to evaluate the potential variations of power demand of the aggregates of fridges and boilers during one year in the considered scenario. The resulting quantities can be considered as a form of power reserves to be used for contributing to the frequency regulation through a proper demand side response strategy. The particular case of the system for frequency control proposed by the European Network of Transmission System Operators for Electricity (ENTSO-E) is then analysed by simulations in order to show advantages and drawbacks.

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

[2]  Goran Strbac,et al.  Controlling the synchronization and payback associated with the provision of frequency services by dynamic demand , 2013 .

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

[4]  D.G. Infield,et al.  Stabilization of Grid Frequency Through Dynamic Demand Control , 2007, IEEE Transactions on Power Systems.

[5]  Goran Strbac,et al.  Value of thermostatic loads in future low-carbon Great Britain system , 2016, 2016 Power Systems Computation Conference (PSCC).

[6]  F. Silvestro,et al.  Demand side response for frequency control in a regional power system , 2015, 2015 International Conference on Clean Electrical Power (ICCEP).

[7]  S. Ali Pourmousavi,et al.  Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation , 2014, IEEE Transactions on Smart Grid.

[8]  Goran Strbac,et al.  Frequency control using thermal loads under the proposed ENTSO-E Demand Connection Code , 2015, 2015 IEEE Eindhoven PowerTech.

[9]  Goran Strbac,et al.  Decentralized Control of Thermostatic Loads for Flexible Demand Response , 2015, IEEE Transactions on Control Systems Technology.

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

[11]  Marko Aunedi,et al.  Economic and Environmental Benefits of Dynamic Demand in Providing Frequency Regulation , 2013, IEEE Transactions on Smart Grid.

[12]  Goran Strbac,et al.  Leaky storage model for optimal multi-service allocation of thermostatic loads , 2016 .

[13]  Standard Ashrae Thermal Environmental Conditions for Human Occupancy , 1992 .

[14]  David Angeli,et al.  A Stochastic Approach to “Dynamic-Demand” Refrigerator Control , 2012, IEEE Transactions on Control Systems Technology.

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

[16]  Federico Silvestro,et al.  Frequency control services by a building cooling system aggregate , 2016 .

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

[18]  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.

[19]  Fabrizio Sossan,et al.  Domestic refrigerators temperature prediction strategy for the evaluation of the expected power consumption , 2013, IEEE PES ISGT Europe 2013.

[20]  Fabio Saccomanno,et al.  Electric Power Systems: Analysis and Control , 2003 .

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

[22]  Jianming Lian,et al.  Reduced-order modeling of aggregated thermostatic loads with demand response , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[23]  F. Silvestro,et al.  Impact analysis of load control for frequency regulation: The case of Sardinia in 2020 , 2014, IEEE PES Innovative Smart Grid Technologies, Europe.

[24]  Duncan S. Callaway,et al.  Arbitraging Intraday Wholesale Energy Market Prices With Aggregations of Thermostatic Loads , 2015, IEEE Transactions on Power Systems.

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

[26]  Jay Burch,et al.  Development of Standardized Domestic Hot Water Event Schedules for Residential Buildings , 2008 .

[27]  Tyrone L. Vincent,et al.  Aggregate Flexibility of Thermostatically Controlled Loads , 2015, IEEE Transactions on Power Systems.

[28]  Goran Strbac,et al.  Designing effective frequency response patterns for flexible thermostatic loads , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

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