Assessment of Virtual Energy Storage Response Potential and Hierarchical Prioritization Control Strategy for Air Conditioners Considering Multiple Factors

Ruyu HUANG , Ruofa CHENG , Xianglong LÜ

›› 2026, Vol. 20 ›› Issue (7) : 80 -89.

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›› 2026, Vol. 20 ›› Issue (7) : 80 -89. DOI: 10.13648/j.cnki.issn1674-0629.2026.07.008
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Assessment of Virtual Energy Storage Response Potential and Hierarchical Prioritization Control Strategy for Air Conditioners Considering Multiple Factors

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Abstract

With the development of society, air conditioning load becomes an indispensable resource in demand response, and reasonable regulation and control of air conditioning can alleviate the shortage of power resources. Therefore, an air conditioning control strategy is proposed considering multiple factors. Firstly, based on the electric heating parameter model of inverter air conditioner, combined with multiple factors such as user satisfaction, thermal comfort and load controllability, the response potential evaluation model of air conditioning load cluster is established. Secondly, the micro-element method is introduced to decompose the demand response time of grid dispatching, and the micro-element virtual energy storage prioritization strategy is proposed based on the idea of virtual energy storage. Finally, a two-stage air conditioning load prioritization control model considering multiple factors is constructed. The simulation results show that the control strategy proposed in this paper can meet the needs of tracking power grid dispatching, improve the user′s willingness and reduce the user′s controlled frequency. In this way, under the condition of meeting the power demand of the power system, the satisfaction of users in participating in demand response can be effectively improved.

Keywords

air conditioning load / multi-factor / prioritization strategy / virtual energy storage / demand response potential

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Ruyu HUANG,Ruofa CHENG,Xianglong LÜ. Assessment of Virtual Energy Storage Response Potential and Hierarchical Prioritization Control Strategy for Air Conditioners Considering Multiple Factors. 2026, 20(7): 80-89 DOI:10.13648/j.cnki.issn1674-0629.2026.07.008

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the National Natural Science Foundation of China(52367011)

the Natural Science Foundation of Jiangxi Province(20232ACB204023)

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