The Parameter Optimization of Regenerative-reheat System in Pressurized Water Reactor Nuclear Power Plant

3rd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Wang, Cheng^1 ; Sun, Haijun^1 ; Gao, Shan^1 ; Cheng, Kun^1 ; Fang, Yuan^1

Wuhan Second Ship Desigh and Research Institute, Wuhan, China^1

关键词: Bounding conditions;    Hybrid genetic algorithms;    Optimization method;    Output power;    Parameter optimization;    System optimizations;    Thermal systems;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/300/4/042070/pdf
DOI  :  10.1088/1755-1315/300/4/042070

学科分类：环境科学（综合）

来源: IOP

【 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.