Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads

Praveen Dhanasekar, Cunzhi Zhao, Xingpeng Li. IEEE PES Innovative Smart Grid Technology (ISGT), 2022.
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Abstract

The flexible power consumption feature of thermostatically controlled loads (TCLs) such as heating, ventilation, and air-conditioning (HVAC) systems makes them attractive targets for demand response (DR). TCLs possess a brief period where their power utilization can be altered without any significant impact on customer comfort level. This indicates TCLs are hidden potentials for providing ancillary services. This paper proposes a novel metric of demand response support time (DRST) for HVAC enabled demand response and a novel algorithm for the quantification of such HVAC-DR. The consumers’ comfort will not be compromised with the proposed DRST-based HVAC-DR. Case studies demonstrate its benefits in terms of cost saving in microgrid day-ahead scheduling and reduction of forced load shedding during a grid-microgrid tie-line outage event. This illustrates the reserve potential benefits and the increase of microgrid reliability when DRST-based HVAC-DR is considered.

Index Terms

Battery energy storage systems, Demand response, Distributed energy resources, Energy management, HVAC, Microgrids, Thermostatically controlled load.

Cite this paper:

Praveen Dhanasekar, Cunzhi Zhao and Xingpeng Li, “Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads”, IEEE PES Innovative Smart Grid Technology, New Orleans, LA, USA, Apr. 2022.