Electrical Engineering and Applied Computing
Electrical Engineering and Applied Computing
复制标题
电气工程和应用计算
DOI：
10.1007/978-94-007-1192-1_1
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Mohamed O
中科院分区：
文献类型：
--
作者：
Mohamed O
介绍了超临界燃煤电厂全过程数学模型的研究进展。建模过程植根于热力学和工程原理，并参考了之前发表的文献。利用遗传算法（GA）结合600MW超临界电厂现场测量数据识别模型未知参数。确定的参数通过不同组的测量工厂数据进行验证。虽然建模过程中做了一些假设，在一定程度上简化了模型结构，但本文提出的超临界燃煤电厂模型能够代表真实电厂直流机组运行的主要特征，仿真结果表明，过程的主要变化趋势与实测电厂动态响应吻合较好。
The paper presents the progress of our study of the whole process mathematical model for a supercritical coal-fired power plant. The modelling procedure is rooted from thermodynamic and engineering principles with reference to the previously published literatures. Model unknown parameters are identified using Genetic Algorithms (GAs) with 600MW supercritical power plant on-site measurement data. The identified parameters are verified with different sets of measured plant data. Although some assumptions are made in the modelling process to simplify the model structure at a certain level, the supercritical coal-fired power plant model reported in the paper can represent the main features of the real plant once-through unit operation and the simulation results show that the main variation trends of the process have good agreement with the measured dynamic responses from the power plants.
使用 LTPP 数据库开发柔性路面疲劳开裂性能预测模型
DOI：
--
发表时间：
2007
期刊：
影响因子：
--
作者：
H. Ker;Ying;Pei
通讯作者：
Pei
分组和纵向数据的多层次分析
影响因子：
12.7
作者：
J. Hox
通讯作者：
J. Hox