化工学报2019，Vol.70Issue(6)：2211-2220,10.DOI:10.11949/j.issn.0438-1157.20181421
HTR-PM大范围变负荷的MA自适应优化算法
An adaptive MA algorithm for significant load changes in HTR-PM
摘要
Abstract
High temperature gas-cooled reactor pebble-bed module demonstration power plant (HTR-PM) is designed to operate over wide conditions to cope with the ever changing power demand. Model-based operation optimization is challenged by the inability to obtain models that are well-suited for significant loads changes. To deal with plant-model mismatch, an adaptive MA (modifier adaptation) algorithm is proposed for significant load changes in HTR-PM. This algorithm corrects the optimization model by process feedback information, which promotes the consistency between the optimization model and the plant optimization problem, and thus drives model-based operation optimization to converge to the true optimum. Within the framework of trust region, the adaptive MAs algorithm adaptively updates the model and determines the application range of the optimization model based on model evaluation, so as to confine the optimization model to an appropriate operating region. Moreover, the trust region framework reduces the sensitivity of algorithm performance to algorithm parameters. The proposed algorithm is applied to significant load changes in HTR-PM where both reactors undergo load changes synchronously, and the results show the efficiency of this method.关键词
模型/优化/算法/大范围变负荷/HTR-PMKey words
model/optimization/algorithm/significant load changes/HTR-PM分类
信息技术与安全科学引用本文复制引用
羊城,王可心,邵之江,黄晓津..HTR-PM大范围变负荷的MA自适应优化算法[J].化工学报,2019,70(6):2211-2220,10.基金项目
国家自然科学基金项目(51676179) （51676179）
