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Automatic boiling water reactor loading pattern design using ant colony optimization algorithm

机译:基于蚁群算法的自动沸水堆装载模式设计

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摘要

An automatic boiling water reactor (BWR) loading pattern (LP) design methodology was developed using the rank-based ant system (RAS), which is a variant of the ant colony optimization (ACO) algorithm. To reduce design complexity, only the Fuel assemblies (FAs) of one eight-core positions were determined using the RAS algorithm, and then the corresponding FAs were loaded into the other parts of the core. Heuristic information was adopted to exclude the selection of the inappropriate FAs which will reduce search space, and thus, the computation time. When the LP was determined, Haling cycle length, beginning of cycle (BOC) shutdown margin (SDM), and Haling end of cycle (EOC) maximum fraction of limit for critical power ratio (MFLCPR) were calculated using SIMULATE-3 code, which were used to evaluate the LP for updating pheromone of RAS. The developed design methodology was demonstrated using FAs of a reference cycle of the BWR6 nuclear power plant. The results show that, the designed LP can be obtained within reasonable computation time, and has a longer cycle length than that of the original design.
机译:使用基于等级的蚂蚁系统(RAS)开发了自动沸水堆(BWR)装载模式(LP)设计方法,这是蚁群优化(ACO)算法的一种变体。为了降低设计复杂性,仅使用RAS算法确定一个八个核心位置的Fuel组件(FA),然后将相应的FA加载到核心的其他部分。采用启发式信息来排除不适当的FA的选择,这将减少搜索空间,从而减少计算时间。确定LP后,使用SIMULATE-3代码计算出Haling周期长度,周期开始(BOC)停机裕量(SDM)和Haling周期结束(EOC)临界功率比限制的最大分数(MFLCPR),用于评估用于更新RAS信息素的LP。使用BWR6核电站参考周期的FA演示了开发的设计方法。结果表明,所设计的LP可以在合理的计算时间内获得,并且比原始设计具有更长的周期长度。

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  • 来源
    《Annals of nuclear energy》 |2009年第8期|1151-1158|共8页
  • 作者

    Cheng-Der Wang; Chaung Lin;

  • 作者单位

    Department of Engineering and System Science, National Tsing Hua University, 101, Section 2 Kuang Fu Road, Hsinchu 30013, Taiwan Nuclear Engineering Division, Institute of Nuclear Energy Research, No. 1000, Wenhua Rd.,]iaan Village, Longtan Township, Taoyuan County 32546, Taiwan, ROC Department of Engineering and System Science, National Tsing Hua University, 101, Section 2 Kuang Fu Road, Hsinchu 30013, Taiwan;

    Department of Engineering and System Science, National Tsing Hua University, 101, Section 2 Kuang Fu Road, Hsinchu 30013, Taiwan;

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