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Quantitative Analysis of Demand Response Using Thermostatically Controlled Loads

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arxiv 2110.12345 v1 pith:EQS7XEYW submitted 2021-10-24 eess.SY cs.SY

classification eess.SYcs.SY
keywords demandresponsehvac-drtclsbenefitscomfortcontrolleddrst-based
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Cluster Aggregated GAN (CAG): A Cluster-Based Hybrid Model for Appliance Pattern Generation

    cs.LG 2025-12 reject novelty 4.0 of 10

    CAG achieves lower mean errors than CNN/LSTM/RNN/WaveGAN baselines on UVIC, but its diversity advantage rests on cluster metrics partly defined by the method itself, and one metric is read in the wrong direction.

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