多联机空调柔性负荷控制器的功率模型标定和控制算法响应特性研究
Research on power model calibration and control algorithm response characteristics of flexible load controller for multi-split air conditioners
摘要：
针对目前缺乏具体的多联机空调柔性负荷响应控制算法及控制器硬件设备的问题,本文通过设备测点与功能组网设计、实验测试、BP神经网络功率模型构建、等效热参数(ETP)模型仿真实验、柔性负荷响应控制算法设计,实现了完整的功能构建;针对空调柔性负荷响应过程中显著的功率反弹现象,设计了连续小幅度调节设定温度和部分关闭室内机的控制策略,并完成了实验验证。结果表明:对于17.5 kW的空调,制冷模式下设定温度每提高1 ℃,实际功率可下降约2.4～3.4 kW,舒适度范围内柔性可调负荷约占额定功率的40%～60%;连续小幅度调节设定温度约1 h内可以构建新的平衡,而部分关闭室内机可实现35%～55%的负荷响应。
Abstract：
In view of the current lack of specific multi-split air conditioner flexible load response control algorithms and controller hardware devices, this paper achieves a complete functional construction through equipment measurement point and functional networking design, experimental testing, BP neural network power model construction, ETP model simulation experiments, and flexible load response control algorithm design. In response to the significant power rebound phenomenon during the flexible load response process of air conditioners, control strategies of continuously adjusting the set temperature in small steps and partially turning off indoor units are designed and experimentally verified. The results show that for a 17.5 kW air conditioner, in the cooling mode, for every 1 ℃ increase in the set temperature, the actual power can decrease by approximately 2.4-3.4 kW, and the flexibly adjustable load within the comfort range accounts for about 40%-60% of the rated power. Continuously adjusting the set temperature in small steps can establish a new balance within about 1 hour, while partially turning off indoor units can achieve a load response of 35% to 55%.
Keywords:multi-split air conditioner; flexible load; response characteristic; set temperature adjustment; power rebound; control strategy