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Analysis of Emergency Demand Response Levels of Central Air-Conditioning

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Abstract

Central air-conditioning (CAC) is a flexible load which can be dispatched during an emergency demand response (EDR) program. However, consumers’ trade-off between thermal comfort levels (TCLs) and profits will affect the potential of CAC. Therefore, this paper proposes a method to evaluate CAC’S response levels. An EDR optimization model simulating consumers’ trade-off between TCLs and profits is established and it is solved by a particle swarm optimization (PSO) algorithm. Then the definition of EDR levels is presented to quantitatively analyze the capability of CAC providing the EDR. Furthermore, uncertainty of EDR levels caused by stochastic initial indoor temperature is analyzed through a Monte Carlo (MC) simulation. A case study shows the rationality of the presented method, and the effects of weight coefficients, compensation prices and penalty prices on EDR levels are also analyzed.

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Funding

This work is supported by The National Key R&D Program of China under Grant No. 2016YFB0901100.

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Authors and Affiliations

  1. Anhui Provincial Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei, China

    Xianjun Qi, Zongshuo Ji, Hongbin Wu, Jingjing Zhang & Hejun Yang

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  1. Xianjun Qi
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  2. Zongshuo Ji
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  3. Hongbin Wu
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  4. Jingjing Zhang
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  5. Hejun Yang
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Correspondence to Xianjun Qi.

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Qi, X., Ji, Z., Wu, H. et al. Analysis of Emergency Demand Response Levels of Central Air-Conditioning. J. Electr. Eng. Technol. 15, 2479–2488 (2020). https://doi.org/10.1007/s42835-020-00525-3

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  • DOI: https://doi.org/10.1007/s42835-020-00525-3

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