Scheduling Strategy of Air-conditioning Load Response Considering User Satisfaction

With the development of society, air-conditioning load has become an indispensable resource in demand response. Rational regulation of air-conditioning can alleviate the shortness of power resources. To address this issue, this paper proposes an air-conditioning load response scheduling strategy con...

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Vydané v:IEEE Conference on Industrial Electronics and Applications (Online) s. 1 - 6
Hlavní autori: Liu, Qingle, Peng, Feixiang, Li, Duanchao, Tao, Jun, Wang, Wei, Zhang, Li
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 03.08.2025
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ISSN:2158-2297
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Shrnutí:With the development of society, air-conditioning load has become an indispensable resource in demand response. Rational regulation of air-conditioning can alleviate the shortness of power resources. To address this issue, this paper proposes an air-conditioning load response scheduling strategy considering user satisfaction. Firstly, a fuzzy functional relationship between user satisfaction and air-conditioning response potential is established based on the air-conditioning aggregation model, combined with user thermal comfort. Secondly, considering the impact of electricity prices on user satisfaction, the potential of air-conditioning response is explored by formulating the electricity consumption behavior of air-conditioning users guided by the time-of-use prices Thirdly, the satisfaction of air-conditioning users involved in demand response is fully considered. The satisfaction factor is integrated into the objective function in a goal-oriented manner. Finally, a simplified distribution network system simulation analysis is carried out. The results indicate that the demand response strategy proposed in this paper can effectively exploit the potential of air-conditioning load aggregation response while ensuring user satisfaction. It also has a significant effect in promoting wind and solar energy consumption, reducing grid operation cost and decreasing the load peak-to-valley difference.
ISSN:2158-2297
DOI:10.1109/ICIEA65512.2025.11148701