基于启发式搜索法与动态负荷跟踪的中央空调能耗全局控制方法  

Design of Central Air-conditioning Energy Consumption Control Platform Under Dynamic Load

作　　者：宋良雨 SONG Liang-yu(Zhicheng Jianke Design Co.,Ltd.,Baiyin 730900 China)

机构地区：[1]智诚建科设计有限公司,甘肃白银730900

出　　处：《自动化技术与应用》2024年第10期18-21,共4页Techniques of Automation and Applications

基　　金：现代职业教育研究院教育创新研究中心最新科研成果重点项目(JYKH0024)。

摘　　要：非线性且时滞的中央空调运行模式,导致运行能耗较高,为提高中央空调全局能耗控制效果,减少核函数和模型相关参数的相对误差,提出一种中央空调能耗全局控制方法。利用支持向量机算法,考虑变风量预测中央空调动态负荷,选择合适核函数、中央空调能耗相关参数,实时监测中央空调能耗运行总能耗,反复训练动态负荷跟踪模型,自适应调节参数并指导变频控制过程,以总能耗数据作为启发式搜索法优化目标,搜索最佳控制频率,完成中央空调能耗全局控制。实验表明,该方法降低了动态负荷预测模型的相对误差,提高了能耗控制的全局性。The non-linear and time-delay central air-conditioning operation mode leads to high energy consumption.In order to improve the control effect of central air-conditioning global energy consumption and reduce the relative error of kernel function and model re-lated parameters,a global control method of central air-conditioning energy consumption is proposed.The Support Vector Ma-chine algorithm is used to predict the dynamic load of the central air-conditioning by considering the variable air volume,select the appropriate kernel function and relevant parameters of the central air-conditioning energy consumption,monitor the energy consumption and total energy consumption of the central air-conditioning in real time,train the dynamic load tracking model re-peatedly,adaptively adjust the parameters and guide the variable frequency control process,and take the total energy consump-tion data as the optimization target of the heuristic search method,search the optimal control frequency,and complete the global control of the central air-conditioning energy consumption.Experiments show that this method reduces the relative error of dy-namic load forecasting model and improves the global performance of energy consumption control.

关 键 词：动态负荷 中央空调 能耗控制 启发式搜索法 支持向量机 预测 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]