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