A predictive control strategy for centralized heating systems based on Light Gradient Boos-ting Machine(LightGBM)is proposed to address the current situation of large time delay nonlinearity in urban centralized heating systems,excessive reliance on manual experience in load prediction and regula-tion of heat exchange stations,imprecise and untimely system prediction and regulation processes,and high system energy consumption.Firstly,based on the principle of climate compensation technology in heating systems,a LightGBM heat exchange station return water temperature prediction model was estab-lished to ensure the timeliness and reliability of the return water temperature prediction target.Secondly,a prediction function based on the moving weighted average algorithm was designed,and combined with the PID control algorithm,precise load prediction and high-performance regulation of the centralized heating system were achieved.The practical results show that the proposed LightGBM based predictive control strategy for central heating systems can accurately predict the operating load of heat exchange sta-tions in a timely manner and has better advanced control effects,effectively improving the reliability and stability performance of the central heating control system.
关键词
集中供热系统/LightGBM/负荷预测/移动加权平均/预测控制
Key words
central heating system/LightGBM/load forecasting/moving weighted average algo-rithm/predictive control
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