基于双重综合策略的DSG太阳能集热器蒸汽温度自适应预测控制  

Adaptive Predictive Control of DSG Solar Collector Steam Temperature Based on Double Weighting Strategy

作　　者：祝庆 王广军[1,2] 陈红[1,2] ZHU Qing;WANG Guangjun;CHEN Hong(Key Laboratory of Low-grade Energy Utilization Technologies and Systems(Chongqing University),Ministry of Education,Chongqing 400044,China;School of Energy and Power Engineering,Chongqing University,Chongqing 400044,China)

机构地区：[1]重庆大学低品位能源利用技术及系统教育部重点实验室,重庆400044 [2]重庆大学能源与动力工程学院,重庆400044

出　　处：《工程热物理学报》2022年第11期2880-2885,共6页Journal of Engineering Thermophysics

基　　金：国家自然科学基金面上项目(No.51876010)。

摘　　要：直通式直接蒸汽发电(Direct Steam Generation,DSG)太阳能热发电系统的控制问题是目前太阳能热技术面临的主要挑战之一。针对DSG集热器出口蒸汽温度控制问题,提出了一种基于双重综合策略的多模型自适应预测控制方案。首先,基于DSG集热器系统蒸汽温度动态特性对系统进行非线性特征分析。其次,基于系统非线性特征,分别建立对应特征工况点的温度预测子模型进而构成子模型集。最后,建立基于双重综合调度策略的温度自适应预测模型并结合预测控制算法实现蒸汽温度的自适应预测控制。通过仿真试验验证了该方案的有效性。The control problem of the direct steam generation solar thermal power system under once-through mode is one of the main challenges faced by the current solar thermal technology.In this paper,a multi-model adaptive predictive control scheme based on double weighting strategy is proposed for the control of the steam temperature at the outlet of the DSG collector.Firstly,the nonlinear characteristic analysis of the system is carried out based on the dynamic characteristics of the steam temperature.Secondly,based on the nonlinear characteristics of the system,temperature prediction sub-models corresponding to characteristic operating points are established respectively to form a sub-model set.Finally,a temperature adaptive prediction model based on double weighting strategy is established and combined with the predictive control algorithm to realize the adaptive predictive control of steam temperature.The effectiveness of the scheme is verified by simulation experiments.

关 键 词：DSG集热器 蒸汽温度 双重综合 自适应 预测控制 

分 类 号：TK514[动力工程及工程热物理—热能工程]