In-Core Fuel Management with Biased Multiobjective Function Optimization

作者: Youssef A. Shatilla , David C. Little , Jack A. Penkrot , Richard Andrew Holland

DOI: 10.13182/NT00-A3094

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摘要: The capability of biased multiobjective function optimization has been added to the Westinghouse Electric Company's (Westinghouse's) Advanced Loading Pattern Search code (ALPS). search process, given a user-defined set design constraints, proceeds minimize global parameter called total value associated with constraints compliance (VACC), an importance-weighted measure deviation from limit and/or margin target. process takes into consideration two equally important factors while minimizing VACC, namely, relative importance each constraint respect others and according its own objective function. Hence, trading off margin-to-design limits where it is abundantly available badly needed can now be accomplished. Two practical methods are provided user for input functions. One consists establishing based on traditional core parameters such as assembly/pin burnup, power, or reactivity. second method allows write program, script, define logic not possible through ordinary means. This script writing was made application resident compiler feature technical language integration processor (tulip), developed at Westinghouse. Formore » problems studied, ALPS only produced candidate loading patterns (LPs) that met all conflicting but in cases appeared over constrained gave wide range LPs came very close meeting functions.« less

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