Fractional-order particle swarm based multi-objective PWR core loading pattern optimization

被引：39

作者：

Zameer, Aneela ^{[1
]}

Muneeb, Muhammad ^{[1
]}

Mirza, Sikander M. ^{[2
]}

Raja, Muhammad Asif Zahoor ^{[3
]}

机构：

[1] Pakistan Inst Engn & Appl Sci, Dept Comp & Informat Sci, Islamabad 45650, Pakistan

[2] Pakistan Inst Engn & Appl Sci, Dept Phys & Appl Math, Islamabad 45650, Pakistan

[3] COMSATS Univ Islamabad, Dept Elect & Comp Engn, Attock Campus, Attock 43600, Pakistan

来源：

ANNALS OF NUCLEAR ENERGY | 2020年 / 135卷 / 135期

关键词：

Fractional order particle swarm optimization; Pressurized water reactor; Core reload pattern; Reactor safety; FUEL-MANAGEMENT OPTIMIZATION; ALGORITHM; PSO; SYSTEMS; DESIGN;

D O I：

10.1016/j.anucene.2019.106982

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

In this study the multi-objective core reload pattern optimization has been performed using the Fractional Order Particle Swarm Optimization (FOPSO) algorithm. The multi-objective goals aimed at maximization of the cycle multiplication factor while maintaining the core radial power peaking factor flat within the prescribed safety limits. These calculations have been performed for the first core loading of CHASNUPP-1 using PSU-LEOPARD and MCRAC codes for burnup dependent group constant generation and the subsequent diffusion theory-based criticality and cycle burnup calculations, respectively. Using the proposed FOPSO scheme, enhancement in the cycle length have been observed while maintaining power peaking factor within the prescribed constraints throughout the cycle. The FOPSO methodology has been found robust and efficient. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页数：11

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