Feed-Water Enthalpy Rise Optimum Distribution Mechanism Model of PWR Nuclear Power Unit Based on Genetic Algorithm

Abstract:

This paper presented a novel method for using Genetic Algorithm (GA) to solve the problem of Feed-water Enthalpy Rise Optimum Distribution in nuclear power unit. According to the characteristics of the pressurized-water reactor unit's secondary circuit, the calculation equations for the power and the heat rate of steam turbine are given in matrix form, the rate of extraction steam is calculated by the general matrix thermal balance equation, and then receive the equation of the efficiency of steam turbine which has relative with parameters of every node in the thermodynamic system in PWR unit. Taking the efficiency equation as aim function, an effective fitness-model was established with the appropriate optimum parameters under the restriction condition, the feed-water enthalpy rise distribution is optimized under the restriction condition by means of Genetic Algorithm. Through the calculation of a 600MW PWR nuclear power unit, the results indicate that Genetic Algorithm has global searching performance, gives a better global optimum than original design value rapidly and shows the relations between the optimum parameters (even the temp parameters) and the optimization easily. Genetic Algorithm is a promising method for analyzed and solved the feed-water enthalpy rise optimum distribution in PWR nuclear power unit.

• Periodical: Advanced Materials Research (Volumes 1008-1009)
• Pages: 231-236
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.231
• Online since: August 2014
• Authors: Zuo Liang Yang*, Zhi Gang Dai, Tong Bin Wang
• Keywords: Feed-Water Enthalpy Rise Optimum Distribution, Genetic Algorithm (GA), Matrix Method, PWR Nuclear Power Unit, Thermal Power Engineering

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