Global Optimization Analysis of Nuclear Power Plant Parameters Based on Modelica

To solve the problem of low efficiency caused by the need to determine the configuration mode in advance when developing design optimization codes for nuclear power plant, this study explores the implementation method of the global optimization analysis of nuclear power plant parameters based on Modelica. The standardized model construction of the primary circuit system and equipment of the nuclear power plant is carried out, the hierarchical framework from the bottom evaluation model to the top system model is established, and the free configuration and visual design modeling of the primary circuit system and equipment are realized. With coupling sensitivity analysis tool and multi-objective optimization algorithm, sensitivity analysis and multi-objective optimization of typical design parameters of the primary circuit system are realized. Taking weight, volume, natural circulation capacity, safety (the minimum departure from nucleate boiling ratio, MDNBR), and thermal efficiency of the plant as optimization objectives, a multi-objective optimization case study was carried out for the nuclear power plant studied. The research results show that the global parameter optimization tool of nuclear power plant based on Modelica can realize the global multi-objective optimization design of nuclear power plant. The hierarchical modeling method used by the tool is standardized, efficient, and flexible, and is a technical approach suitable for solving the overall design optimization problem of a model-based nuclear power plant system.