【摘要】 本文采用基于平衡优化器算法（Equilibrium Optimizer,EO）的多联机系统优化控制方法，研究了多联机系统节能减碳的控制策略，分析了多元线性回归、多层感知机以及两者混合模型分别对多联机系统外机功率和制冷量建模的准确性，比较了在稳态工况下多联机系统原始控制策略和EO算法优化控制情况下的外机功率。结果表明：对外机功率进行建模时，分外机开关组合工况可有效提高建模的精度；多元线性回归和多层感知机混合模型的精度最高，拟合优度均在0.95以上；使用EO算法对稳态工况进行优化计算，具有良好的节能效果，最大节能率为25.4%，最小节能率为5.8%，整体节能率为17.5%。更多还原

【Abstract】 In this paper, variable refrigerant flow(VRF) system optimization control method based on the equilibrium optimizer(EO) algorithm is used to study the control strategy for energy saving and carbon reduction of the VRF, and the accuracy of multiple linear regression, multi-layer perceptron and the hybrid model of the both on the external unit power and cooling capacity of the VRF system are analyzed respectively. The external unit power of the optimal control based on the EO algorithm is compared with the original control strategy of the VRF system under steady-state conditions. The results show that, when modeling the power of the external unit,the combined working conditions of the external unit switch can effectively improve the accuracy of the modeling;the accuracy of the multiple linear regression and multi-layer perceptron hybrid model is the highest, and the values of goodness of fit are above 0.95. Optimizing calculations based on EO for steady-state working conditions have a good energy-saving effect, with a maximum energy-saving rate of 25.4%, a minimum energy-saving rate of 5.8% and an overall energy-saving rate of 17.5%.更多还原