Coordinated optimal control and implementation of household air-condition and battery energy storage systems
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1. School of Automation, Wuhan University of Technology, Wuhan 430070 , China ;2. School of Artificial Intelligence and Software, Liaoning Petrochemical University, Fushun 113001 , China ;3. School of Electrical Enginering and Automation, Wuhan University, Wuhan 430072 , China

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TM714

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    Abstract:

    Under the background of a tight power balance, improving energy efficiency on the user side is a crucial to alleviate grid supply pressure. For energy management of household air conditioning systems under time-of-use pricing, a coordinated optimization model for air conditioning and battery energy storage systems is proposed. This model limits the frequent switching of the battery storage device between charging and discharging states within a rolling time-domain control framework. Based on the laboratory setup, a combined air conditioning and energy storage system for cooperative operation is constructed based on the Internet of Thing, where a distributed integration scheme for the energy management monitoring platform and other core components is provided. Through simulation and experiments, the effectiveness of the air conditioning-battery storage economic operation model and the energy management system is validated. The air conditioning system and energy storage devices exhibit obvious pre-cooling and pre-charging behaviors before peak electricity prices. Compared to the independent operation of the air conditioning system, joint economic operation reduces electricity costs by 13%.

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张靖邦,王枭,李向舜,刘启雯,Alaa Shakir,刘清.家用空调与电池储能系统的协同优化控制及实现[J].电力需求侧管理英文版,2026,28(1):57-64.

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History
  • Received:August 09,2025
  • Revised:September 21,2025
  • Adopted:
  • Online: July 20,2026
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