Abstract This paper proposes a mathematical model for the optimal operation of the fuel cycle of ITER. The developed model aims to minimize the tritium inventory in the fuel cycle by adopting a two-phased scheduling approach. To consider multiple equipment in the fuel cycle, the proposed solving algorithm is designed as sequential scheduling models: (Phase I) to minimize tritium inventory in the vacuum roughing system and (Phase II) to minimize tritium working inventory in the isotope separation system. The scheduling models are developed based on a state-task-network method. Given a required amount of tritium for fueling scenarios considering ramp-up, flat-top, and ramp-down, the proposed model provides the optimal operation plan for deuterium-tritium plasma operation including information on fueling rate, duration, and timing between each unit. Among six case studies, the noninductive tokamak operation mode with high tritium demands showed the highest tritium working inventory during one burn-and-dwell cycle.

中文翻译：

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最小化 ITER 燃料循环氚库存的数学建模

摘要 本文提出了ITER燃料循环优化运行的数学模型。开发的模型旨在通过采用两阶段调度方法来最小化燃料循环中的氚库存。为了考虑燃料循环中的多个设备，所提出的求解算法被设计为顺序调度模型：（阶段 I）最小化真空粗抽系统中的氚库存和（阶段 II）最小化同位素分离系统中的氚工作库存。调度模型是基于状态-任务-网络方法开发的。考虑到升压、平顶和缓降的情况下，给定所需的氚燃料量，所提出的模型提供了氘氚等离子体运行的最佳运行计划，包括每个单元之间的燃料加注速率、持续时间和时间信息.