文章基本信息

标题：Integration of Parameter Approximation and Real-Time Optimization for Load Change of HTR-PM
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作者：Cheng Yang ; Kexin Wang ; Zhijiang Shao 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：18
页码：275-280
DOI：10.1016/j.ifacol.2018.09.312
语种：English
出版社：Elsevier
摘要：AbstractObtaining desirable process model and determining its applicable range play an important role in realizing the significant load change for HTR-PM. Based on the observation that several parameters in HTR-PM model change with conditions and sufficient sampling is impractical, a trust-region based load change strategy is developed in an iterative framework that integrates parameter approximation and realtime optimization. According to this method, the basic model is determined through a systematic approach for parameter estimation that is designed to get rid of unreliable estimation. Plant derivatives are exploited to extend applicability of the local basic model. When applying the extended model to operation of load change in the trust-region framework, model evaluation is implemented in each iteration so that the applicable range of the approximate model is appropriately determined. Consequently, both model accuracy and applicable range of the local model are considered in this iterative framework. Case study of load change from 100% to 50% reactor full power demonstrates effectiveness of the proposed method.
关键词：Keywordsparameter approximationreal-time optimizationtrust-region methodHTR-PM