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低泄漏堆芯燃料管理的一种多循环优化方法 被引量:2

A MULTI CYCLE OPTIMIZATION APPROACH FOR LOW LEAKAGE IN CORE FUEL MANAGEMENT
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摘要 提出一种用于指导压水堆低泄漏堆芯燃料管理的多循环优化方法。该方法将多循环优化问题分解为3步优化处理:首先用线性规划确定满足多循环总体目标最优的各个单循环优化目标参数,然后以此为条件,对多循环中相继的各个单循环进行燃料组件的优化布置,最后进行可燃毒物的优化配置。本文着重讨论第一步优化方法,并给出主要计算结果。 A new approach was developed to optimize pressurized water reactor(PWR) low leakage multi cycle reload core design. The multi cycle optimization process is carried out by the following three steps: The first step is a linear programming in search for an optimum power sharing distribution and optimum cycle length distribution for the successive several cycles to yield maximum multi cycle total cycle length. In the second step, the fuel arrangement and burnable poison(BP) assignment are decoupled by using Haling power distribution and the optimum fuel arrangement is determined at the EOL in the absence of all BPs by employing a linear programming method or direct search method with objective function to force the calculated cycle length to be as close as possible to the optimum single cycle length obtained in the first step and with optimum power sharing distribution as additional constraints during optimization. In the third step, the BP assignment is optimized by the Flexible Tolerance Method(FTM) or linear programming method using the number of BP rods as control variable. The technology employed in the second and third steps was the usual decoupling method used in low leakage core design. The first step was developed specially for multi cycle optimization design and discussed in detail in the paper. Based on the proposed method a computer code MCYCO was encoded and tested for Qinshan Nuclear Power Plant(QNPP) low leakage reload core design. The multi cycle optimization method developed in this paper, together with the program MCYCO, provides an applicable tool for solving the PWR low leakage reload core design problem.
作者 程平东 沈炜
出处 《核科学与工程》 CSCD 北大核心 1999年第1期8-13,共6页 Nuclear Science and Engineering
关键词 低泄漏 多循环 燃料管理 优化 堆芯 压水堆 low leakage multi cycle fuel management optimization
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