REVIEW ARTICLE

Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy

  • Meng SONG 1 ,
  • Wei SUN , 2
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  • 1. Jiangsu Provincial Key Laboratory of Smart Grid Technology and Equipment, Southeast University, Nanjing 210096, China
  • 2. Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL 32816, USA

Received date: 16 Oct 2020

Accepted date: 24 Dec 2020

Published date: 15 Feb 2022

Copyright

2021 Higher Education Press

Abstract

More flexibility is desirable with the proliferation of variable renewable resources for balancing supply and demand in power systems.Thermostatically controlled loads (TCLs) attract tremendous attentions because of their specific thermal inertia capability in demand response (DR) programs. To effectively manage numerous and distributed TCLs, intermediate coordinators, e.g., aggregators, as a bridge between end users and dispatch operators are required to model and control TCLs for serving the grid. Specifically, intermediate coordinators get the access to fundamental models and response modes of TCLs, make control strategies, and distribute control signals to TCLs according the requirements of dispatch operators. On the other hand, intermediate coordinators also provide dispatch models that characterize the external characteristics of TCLs to dispatch operators for scheduling different resources. In this paper, the bottom-up key technologies of TCLs in DR programs based on the current research have been reviewed and compared, including fundamental models, response modes, control strategies, dispatch models and dispatch strategies of TCLs, as well as challenges and opportunities in future work.

Cite this article

Meng SONG , Wei SUN . Applications of thermostatically controlled loads for demand response with the proliferation of variable renewable energy[J]. Frontiers in Energy, 2022 , 16(1) : 64 -73 . DOI: 10.1007/s11708-021-0732-5

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant No. 52007030), the US National Science Foundation (Grant No. ECCS-1552073), and awards of the US Department of Energy (DE-EE0007998 and DE-EE0009028).
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