区域供热间接连接二次网供热系统节能控制方法

Energy saving control method for district heating indirectly connected secondary network heating system

为降低区域供热间接连接二次网供热系统的运行能耗,提出自适应调节二次网供热系统节能控制方法。通过基于RBF神经网络的供热系统热负荷预测方法,结合历史供热数据,预测供热系统热负荷,然后使用基于细菌觅食优化算法的二次网优化控制策略,在满足热负荷需求、不影响供热效果的前提下,设计实现供热系统能耗最小化的控制目标函数,用细菌觅食优化算法求解目标函数,获取供热系统二次供水温度与循环流量的最优控制值,完成节能控制。实验表明,此方法可结合热负荷需求的变化,自适应调节二次供水温度与循环流量,保证供热效果的同时降低系统能耗。

In order to reduce the operating energy consumption of district heating indirectly connected secondary network heating systems,an energy-saving control method based on adaptive regulation for district heating indirectly connected secondary network heating systems is proposed.This method uses a heating system heat load prediction method based on RBF neural networks,combined with historical heating data,to predict the future heat load of a district heating indirectly connected secondary network heating system,then uses a secondary network optimization control strategy based on bacterial foraging optimization algorithm to design a control objective function that minimizes energy consumption in the heating system while satisfying the heat load demand without affecting the heating effect of users,using the bacterial foraging optimization algorithm to solve the objective function,obtain the optimal control values of the secondary water supply temperature and circulation flow in the heating system,and complete energy-saving control.In experiments,this method can adaptively adjust the temperature of secondary water supply and the control amount of circulating flow in combination with the changes in heat load demand,ensuring the heating effect while reducing system energy consumption.