Objective Functions Performance in the Multi-Objective Fuel Management Optimization

Khoshahval, Farrokh

doi:10.22034/rpe.2022.324689.1054

Document Type : Research Article

Author

Farrokh Khoshahval

Reactor and Nuclear Safety School, Nuclear Science and Technology Research Institute (NSTRI), Tehran, Iran

https://doi.org/10.22034/rpe.2022.324689.1054

Abstract

Selecting a genuine objective function in the fuel management optimization (FMO) of newly developed reactors is fundamentally important. The FMO problem becomes harder when a multi-objective fitness (cost) function (MOCF) is in use. Usually, when undertaking a MOCF fuel management optimization problem, it is transformed into the summation of objective functions, which are related to weighting factors. Different parameters can be chosen as the main fitness function in an optimization problem. In the case of a nuclear reactor, the cycle length, the multiplication factor and power peaking factor are the most significant. The value of the weighting factors and/or the method with which the cost function has been formulated may affect the final result of optimization. In this paper, the effect of the selection of the cost function has been analyzed in order to reach an optimum in core fuel management of a typical pressurized water reactor, PWR. It is understood from the results that finding a loading pattern that results in a better power peaking factor (lower PPF) is stricter than that of a longer cycle length. Indeed, the obtained loading pattern strongly depends on the selected fitness function. Finally, the flattening function is proposed instead of minimizing the PPF to attain better loading patterns.

Highlights

The e ect of the selection of the cost function has been analyzed.
The spectrum of randomly generated loading patterns vs. multiplication factor and power peaking factor is calculated.
It is shown that the rate of convergence is a dependent parameter to the mathematical formulation.

Keywords

20.1001.1.26456397.2022.3.1.2.9

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Radiation Physics and Engineering

Objective Functions Performance in the Multi-Objective Fuel Management Optimization

References

References

Volume 3, Issue 1
February 2022
Pages 13-19

Objective Functions Performance in the Multi-Objective Fuel Management Optimization

References

References

Volume 3, Issue 1February 2022Pages 13-19

Volume 3, Issue 1
February 2022
Pages 13-19