家用空调与电池储能系统的协同优化控制及实现
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作者单位:

1. 武汉理工大学 自动化学院,武汉 430070 ;2. 辽宁石油化工大学 人工智能与软件学院,辽宁 抚顺 113001 ;3. 武汉大学 电气与自动化学院,武汉 430072

作者简介:

张靖邦(1999),男,内蒙古包头人,硕士研究生,研究方向为智能楼宇能量管理。
王枭(1990),男,辽宁沈阳人,副教授,博士,研究方向为能源电力系统运行控制,绿色港口能效管控与设备状态检查。;

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TM714

基金项目:

国家自然科学基金(52207134);国家水运安全工程技术研究中心开放基金(A202401)


Coordinated optimal control and implementation of household air-condition and battery energy storage systems
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Affiliation:

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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    摘要:

    电力紧平衡背景下,提升用户侧能效水平是缓解电网供能压力的重要抓手。针对分时电价下家用空调设备的能量管理,提出定频/变频空调-电池储能系统的联合优化运行模型,在滚动时域控制框架下限制了电池储能设备及空调设备频繁切换启停状态。依托实验室实际环境,构建基于物联网(Internet of Thing,IoT)的空调-储能能量管理系统,给出了能量管理监测平台及其他核心部件的分布式集成方案。通过仿真实验与现场实测,验证了空调-电池储能经济运行模型及能量管理系统的有效性,空调系统与储能设备在尖峰电价前具有明显的预制冷和预充电行为,相较于空调系统独立运行,联合经济运行将用电成本降低了13%。

    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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引用本文

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,2026,28(1):57-64

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  • 收稿日期:2025-08-09
  • 最后修改日期:2025-09-21
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  • 在线发布日期: 2026-07-20
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