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作 者:祝庆 王广军[1,2] 陈红[1,2] 吴辉[1,2] ZHU Qing;WANG Guangjun;CHEN Hong;WU Hui(Key Laboratory of Low-Grade Energy Utilization Technologies&Systems,MOE,Chongqing University,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:《动力工程学报》2022年第6期552-558,共7页Journal of Chinese Society of Power Engineering
基 金:国家自然科学基金资助项目(51876010)。
摘 要:针对直通式直接产生蒸汽(DSG)槽式太阳能热发电系统,建立了一种集热器出口过热蒸汽温度多模型自适应预测模型。根据太阳辐射强度,将DSG集热器划分为若干个线性化子空间。基于DSG集热器的通用分布参数模型和出口过热蒸汽温度的阶跃响应,构造了DSG集热器出口过热蒸汽温度非参数化线性子模型空间,并建立线性预测子模型的综合调度策略。最后,根据多模型自适应思想,获得了DSG集热器出口过热蒸汽温度的多模型自适应预测模型,并通过数值模拟验证了该模型的有效性。结果表明:所建立的多模型自适应预测模型具有良好的自适应能力,为DSG集热器出口过热蒸汽温度的预测控制提供了必要支持。A multi-model self-adaptive prediction model of superheated steam temperature at the outlet of collector was established for the direct steam generation(DSG) trough solar thermal power generation system.The DSG collector was divided into several linearized subspaces according to solar radiation intensity.Based on the general distributed parameter model(GDPM) of the DSG collector and step response of superheated steam temperature,the nonparametric linear sub-model space of superheated steam temperature for the DSG collector was constructed,and a comprehensive scheduling strategy for the linear sub-model was established.Finally,a multi-model self-adaptive prediction model of superheated steam temperature for the DSG collector was obtained based on the idea of multi-model self-adaption,and the effectiveness of the model was verified by numerical simulation.Results show that the established model shows good adaptive ability,which provides necessary support for the predictive control of superheated steam temperature of the DSG collector.
关 键 词:DSG集热器 过热蒸汽温度 自适应 预测模型 多模型
分 类 号:TK514[动力工程及工程热物理—热能工程]
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