反应堆一回路多目标参数优化

Multi-objective optimization of the reactor coolant system

重量和尺寸是评价核动力装置技术水平的重要指标,通过优化设计减小装置重量和体积,具有重要的理论意义和现实价值。为核动力装置多目标优化提供一种新方法,本文将非支配解的概念引入到核动力装置多目标优化中。以秦山核电站一回路系统主要设备为基础,利用所编制的堆芯、压力容器、主管道、稳压器和蒸汽发生器程序,开展了对反应堆一回路多目标函数的参数敏感性分析,并采用自主研发的改进非支配解排序算法,实现一回路系统多目标优化设计。结果表明:所建立的设备数学模型可靠,可用于优化设计;利用改进非支配解排序算法可获得一回路多目标优化设计空间,且优化效果显著;在本文研究参数范围内,反应堆入口温度是影响非支配解分布的关键参数;本文中的优化结果可为工程设计提供参考。

Background： Weight and size are important criteria in evaluating the performance of a nuclear power plant. It is of great theoretical value and engineering significance to reduce the weight and volume of the components for a nuclear power plant by the optimization methodology. Purpose： In order to provide a new method for the optimization of nuclear power plant multi-objective, the concept of the non-dominated solution was introduced. Methods： Based on the parameters of Qinshan I nuclear power plant, the mathematical models of the reactor core, the reactor vessel, the main pipe, the pressurizer and the steam generator were built and verified. The sensitivity analyses were carried out to study the influences of the design variables on the objectives. A modified non-dominated sorting genetic algorithm was proposed and employed to optimize the weight and the volume of the reactor coolant system. Results： The results show that the component mathematical models are reliable, the modified non-dominated sorting generic algorithm is effective, and the reactor inlet temperature is the most important variable which influences the distribution of the non-dominated solutions. Conclusion： The optimization results could provide a reference to the design of such reactor coolant system.