期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：300
期号：4
页码：1-7
DOI：10.1088/1755-1315/300/4/042070
出版社：IOP Publishing
摘要：Regenerative-reheat system is the core of the thermal system of pressurized water reactor nuclear power plant (PWR NPP), which determines the economy of the unit directly. A mathematical model of regenerative-reheat system of a typical 900 MW nuclear power plant is established and validated. Given the bounding condition group, the regenerative-reheat system optimization is carried out by using the hybrid genetic algorithm to optimize the flow of extraction steam. The results show that the output power increases 7.84MW in the optimized scheme, which effectively reduces the nuclear fuel consumption and demonstrates the capability of the optimization method in improving the economy of the NPP.
