An Interval Bound Algorithm of optimizing reactor core loading pattern by using reactivity interval schema

作者：Gong Zhaohu^*; Wang Kan; Yao Dong

来源：Annals of Nuclear Energy, 2011, 38(12): 2787-2796.

DOI：10.1016/j.anucene.2011.08.029

• Loading Pattern Optimization
• Interval Bound Algorithm
• Multi-objective optimization
• Dynamic Discontinuous Weight Factors
• Reactivity

In order to optimize the core loading pattern in Nuclear Power Plants, the paper presents a new optimization method - Interval Bound Algorithm (IBA). Similar to the typical population based algorithms, e.g. genetic algorithm, IBA maintains a population of solutions and evolves them during the optimization process. IBA acquires the solution by statistical learning and sampling the control variable intervals of the population in each iteration. The control variables are the transforms of the reactivity of fuel assemblies or the worth of burnable poisons, which are the crucial heuristic information for loading pattern optimization problems. IBA can deal with the relationship between the dependent variables by defining the control variables. Based on the IBA algorithm, a parallel Loading Pattern Optimization code, named IBALPO, has been developed. To deal with multiple objectives and constraints, the Dynamic Discontinuous Weight Factors (DDWF) for the fitness function have been used in IBALPO. Finally, the code system has been used to solve a realistic reloading problem and a better pattern has been obtained compared with the ones searched by engineers and genetic algorithm, thus the performance of the code is proved.

• 出版日期2011-12
• 单位中国核动力研究设计院; 清华大学