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中文摘要：
锅炉再热汽温调节对于机组安全性和经济性有着重要的意义。利用偏最小二乘回归结合机组实际运行数据对再热期望焓升一即单位流量蒸汽吸热能力进行建模。分析了再热期望焓升的影响因素，构建了现场没有引入但会对再热汽温造成直接影响的中间变量。在建模前期通过稳态工况以及均匀设计的方法对建模数据进行筛选，并比较了多种数据筛选方法的建模精度。研究结果表明，再热汽温受多个因素综合变化影响，且呈非线性关系，对再热期望焓升进行建模能够更好地反映再热汽温变化的本质；选择不同的样本数据对模型的精度和稳定性有一定的影响；建立的偏最小二乘回归模型能够克服变量间的多重相关性，得到易于解释的统计学模型，量化已有运行数据，使运行人员快速掌握系统特性，同时也为先进控制策略的应用提供了数据基础。
英文摘要：
Boiler reheat steam temperature control is of great significance for unit safety and economy. Considering the relative merits of historical data modelling and field test data modelling, the uniform design method was selected to filter the historical data, and a reheater heat absorption model combined with partial least squares regression was established. Compared with other data selection methods, the method was proved to valid. Also, a detailed analysis had been made, which quantifies the operating experience, could help the commissioning staff to master the system characteristics, and provide data foundation for the application of advanced control strategies.
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