基于和声搜索的环控通风调控策略优化

Optimization of ventilation regulation strategy based on harmony search for loop control

摘要:

针对地铁车站环控通风系统风机定频运行，导致风机无法跟随站台PM2.5的浓度的变化而改变频率，造成能源浪费。根据环控通风系统的运行现状，可将其划分为只送不排模式、不送只排模式和即送又排模式，并考虑到环控通风系统应适应多扰动的影响，选取最小二乘法系统辨识一阶惯性时滞模型，用于描述变量动态变化响应传递函数，采用自抗扰控制器建立环控通风系统控制模型，利用和声搜索算法对环控通风模型PM2.5浓度设定值寻优，结果显示经过策略优化之后，只送不排模式、不送只排模式和即送又排模式站台PM2.5平均浓度分别降低了7%、8%和10%，风机能耗分别降低了19%、19%和30%。

Abstract:

The fixed frequency operation of fans in the loop-controlled ventilation system of subway stations leads to the inability of fans to follow the change of PM2.5 concentration on the station platform and change the frequency, resulting in energy waste. According to the operation status of the loop-controlled ventilation system, it can be divided into the mode of sending only without exhausting, the mode of not sending only exhausting and the mode of sending and exhausting, and considering that the loop-controlled ventilation system should adapt to the influence of multiple disturbances, the least-squares system is selected to identify the first-order plus time delay model for describing the variable dynamic change response transfer function, and the control model of the loop-controlled ventilation system is established by using a active disturbances rejection controller, and the harmony search algorithm is used to The results show that after optimization, the average PM2.5 concentrations on the station platform are reduced by 7%, 8% and 10% in the sending-only mode, the non-sending-only mode and the sending-and-exhausting mode, respectively, and the fan energy consumption is reduced by 19%, 19% and 30%, respectively.