基于LSTM预估补偿的火电机组主蒸汽温度控制系统  

Main Steam Temperature Control System Based on Prediction and Compensation with LSTM in a Thermal Power Unit

作　　者：张国斌 郭瑞君 杜荣华 辛晓钢 张谦 牛玉广[2] Zhang Guobin;Guo Ruijun;Du Ronghua;Xin Xiaogang;Zhang Qian;Niu Yuguang(Inner Mongolia Electric Power Research Institute Branch,Inner Mongolia Electric Power(Group)Co.,Ltd.,Hohhot 010020,China;School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司,呼和浩特010020 [2]华北电力大学控制与计算机工程学院,北京102206

出　　处：《发电设备》2023年第1期51-58,共8页Power Equipment

摘　　要：提出基于长短期记忆(LSTM)预估补偿的火电机组主蒸汽温度控制系统,从机组运行历史数据库中挖掘给煤量、主蒸汽压力和给水流量等因素与主蒸汽温度之间的非线性关系,构建主蒸汽温度控制系统的LSTM预测模型,进而根据预测值构建基于预估补偿的主蒸汽控制系统。结果证明:LSTM算法相比于反向传播(BP)算法具有较高的预测精度,并且在实际应用中,由预测值构建的预估补偿器可使控制系统提前动作,提升蒸汽温度的控制品质。The main steam temperature control system was proposed based on the prediction and compensation with long short-term memory(LSTM) in a thermal power unit, and the nonlinear relationship was established between the main steam temperature and following factors from the operation history database of the unit, such as the feed coal flow rate, the main steam pressure, the feed water flow rate, etc. The prediction model with LSTM was built for the main steam temperature control system, after which the main steam temperature control system based on prediction and compensation was constructed through the prediction value. Results show that, compared with the back propagation(BP) algorithm, the LSTM algorithm has a higher prediction accuracy, while in the actual application, the control quality of the steam temperature can be improved, which is caused by the advanced action of the control system based on the predictive compensator with the prediction value.

关 键 词：火电机组 主蒸汽温度 LSTM 预估补偿 

分 类 号：TM621[电气工程—电力系统及自动化] TK323[动力工程及工程热物理—热能工程]