Azcaxalli A system based on Ant Colony Optimization algorithms, applied to fuel reloads design in a Boiling Water Reactor

作者：Esquivel Estrada Jaime; Jose Ortiz Servin Juan; Alejandro Castillo Jose; Perusquia Raul

来源：Annals of Nuclear Energy, 2011, 38(1): 103-111.

DOI：10.1016/j.anucene.2010.08.011

• Ant Colony Optimization
• Fuel reload optimization
• Boiling Wirer Reactor

This piper presents some results of the implementation of several optimization algorithms based on ant colonies applied to the fuel reload design in a Boiling Water Reactor The system called Azcaxalli is con structed with the following algorithms Ant Colony System Ant System Best-Worst Ant System and MAX-MIN Ant System Azcaxalli starts with a random fuel reload Ants move into reactor core channels according to the State Transition Rule in order to select two fuel assemblies into a 1/8 part of the reactor core and change positions between them This rule takes into account pheromone trails and acquired knowledge Acquired knowledge is obtained from load cycle values of fuel assemblies Azcaxalli claim is to work in order to maximize the cycle length taking into account several safety parameters Azcaxalli s objective function involves thermal limits at the end of the cycle cold shutdown margin at the beginning of the cycle and the neutron effective multiplication factor for a given cycle exposure Those parameters ire calculated by CM PRESTO code Through the Haling Principle is possible to calculate the end of the cycle this system was applied to an equilibrium cycle of 18 months of Laguna Verde Nuclear Power Plant in Mexico The results show that the system obtains fuel r

• 出版日期2011-1