Performance analysis of frequency regulation services provided by aggregates of domestic thermostatically controlled loads

This paper proposes a control method for allowing aggregates of thermostatically controlled loads to provide synthetic inertia and primary frequency regulation services to the grid. The proposed control framework is fully distributed and basically consists in the modification of the thermostat logic as a function of the grid frequency. Three strategies are considered: in the first one, the load aggregate provides synthetic inertia by varying its active power demand proportionally to the frequency rate of change; in the second one, the load aggregate provides primary frequency regulation by varying its power demand proportionally to frequency; in the third one, the two services are combined. The performances of the proposed control solutions are analyzed in the forecasted scenario of the electric power system of Sardinia in 2030, characterized by a huge installation of wind and photovoltaic generation and no coil and combustible oil power plants. The considered load aggregate is composed by domestic refrigerators and water heaters. Results prove the effectiveness of the proposed approach and show that, in the particular case of refrigerators and water heaters, the contribution to the frequency regulation is more significant in the case of positive frequency variations. Finally, the correlation between the regulation performances and the level of penetration of the load aggregate with respect to the system total load is evaluated.

[1]  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.

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

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

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

[5]  Xinping Guan,et al.  Residential power scheduling for demand response in smart grid , 2016 .

[6]  Duncan S. Callaway,et al.  Trajectory Tracking With an Aggregation of Domestic Hot Water Heaters: Combining Model-Based and Model-Free Control in a Commercial Deployment , 2018, IEEE Transactions on Smart Grid.

[7]  Ernesto Kofman,et al.  An analytical characterisation of cold-load pickup oscillations in thermostatically controlled loads , 2013, 2013 Australian Control Conference.

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

[9]  Gang Ma,et al.  Research on scheduling control strategy of large-scale air conditioners based on electric spring , 2021 .

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

[11]  Federico Silvestro,et al.  Stochastic modelling of aggregated thermal loads for impact analysis of demand side frequency regulation in the case of Sardinia in 2020 , 2017 .

[12]  F. Silvestro,et al.  Synthetic Inertia and Primary Frequency Regulation Services by Domestic Thermal Loads , 2019, 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe).

[13]  Peter Kepplinger,et al.  Field testing of demand side management via autonomous optimal control of a domestic hot water heater , 2016 .

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

[15]  All TSOs’ proposal for a methodology for assessing the relevance of assets for outage coordination in accordance with Article 84 of Commission Regulation (EU) 2017/1485 of 2 August 2017 establishing a guideline on electricity transmission system operation , 2018 .

[16]  Ning Lu,et al.  An Evaluation of the HVAC Load Potential for Providing Load Balancing Service , 2012, IEEE Transactions on Smart Grid.

[17]  Goran Strbac,et al.  Advanced Control of Thermostatic Loads for Rapid Frequency Response in Great Britain , 2017, IEEE Transactions on Power Systems.

[18]  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.

[19]  Zaid Albataineh,et al.  Rolling horizon control architecture for distributed agents of thermostatically controlled loads enabling long-term grid-level ancillary services , 2021 .

[20]  Jinde Cao,et al.  Decentralised frequency-based control of a population of heterogeneous ACs without power oscillations , 2018 .

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

[22]  Peter Kepplinger,et al.  Autonomous optimal control for demand side management with resistive domestic hot water heaters using linear optimization , 2015 .

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

[24]  Mathias Kluge,et al.  Electric Power Systems Analysis And Control , 2016 .

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

[26]  Yu Zhang,et al.  Design Considerations of a Centralized Load Controller Using Thermostatically Controlled Appliances for Continuous Regulation Reserves , 2013, IEEE Transactions on Smart Grid.

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

[28]  Birgitte Bak-Jensen,et al.  A multi-agent based optimization of residential and industrial demand response aggregators , 2019, International Journal of Electrical Power & Energy Systems.