Diagnosis and processing of detector failure in PWR on-line power distribution monitoring
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摘要: 作为堆芯功率分布在线监测计算的重要输入参数,堆内中子探测器的测量数据对堆芯功率分布在线监测具有重要影响,因此在线监测计算中探测器失效的诊断和处理十分必要。采用谐波展开法进行堆芯功率分布的在线监测计算,采用直接观察法、探测器测量值比较法以及探测器重构值比较法分三个阶段对探测器失效进行诊断。基于以上理论,在在线监测系统NECP-ONION中加入探测器失效诊断功能,利用BEAVRS基准题对失效诊断和处理进行验证。数值结果表明,将三阶段的诊断方法结合使用,不仅可以有效判断探测器完全失效的情况,同时对于探测器测量值偏离正常值也具有判断能力。对于探测器失效的处理,NECP-ONION具有较好的探测器失效承受能力。当探测器测量值严重偏离正常值时,程序可诊断其失效并去除错误测量值信息后进行重构;当偏离正常值不足以做出失效诊断时,在线监测程序监测计算精度在可接受范围内。Abstract: Measurements of in-core detectors, as one of the most important inputs for a reactor core on-line power distribution monitoring system, seriously affect the on-line monitoring results. Therefore, the diagnosis and processing of detector failure are necessary. Harmonics expansion method is employed to the on-line monitoring calculation of reactor core power distribution. To diagnose failure of detectors, three methods direct method, comparison of measurements method and comparison of reconstructed responses methodare used in combination. Based on these methods, diagnosis and processing of detector failure have been added into NECP-ONION, an in-house online monitoring code developed by NECP Lab. Benchmark for Evaluation and Validation Reactor Simulations(BEAVRS) has been used for code validation, especially for the diagnosis and processing of detector failure. Numerical results show that, the combination of these three methods is not only effective to the complete failed condition, but also useful for measurements deviation of normal value. In addition, NECP-ONION is functional to distinguish detector failure or local power oscillation. This could reduce the misdiagnosis for detector failure. For the processing of detector failure, it has been observed that single detector failure or a small number of detectors failed has limit effect on the monitoring system NECP-ONION.
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