Implementation of the batch composition preserving genetic algorithm for burn up extension of a typical PWR

• Multi-objective genetic algorithm has been implemented for optimization of first core of CHASNUPP-1.
• The objectives of power peaking factor minimization and maximization of multiplication factor have been incorporated.
• The study shows that burn up of the optimized core has been extended by 48 effective full power days (EFPD's).

Nuclear reactor core is the heart of a power plant producing power from fissile fuel fission. Refueling is needed periodically when it becomes impossible to maintain the reactor operating at nominal power as a result of fuel burn up. In PWR core reloading, attention is drawn to the configuration that meets safety requirements and minimizes energy cost. This paper focuses on finding the best core configuration for a typical two-loop, 300 MWe PWR satisfying the objectives of power peaking factor minimization to enhance safety of the reactor and maximization of multiplication factor to increase fuel burn up. Multi-objective optimization of the first core has been accomplished by implementing the batch composition preserving genetic algorithms (GA). Neutronic calculations and burn up analysis of the optimized loading patterns have been carried out using available reactor physics codes. It is found from this study that burn up of the optimized core has been extended by 48 effective full power days (EFPD's) while satisfying safety criterion by keeping power peaking factor below the reference value.