th.2022.06.021]
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火电厂回热系统高加故障预警方法及其应用

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

Title:: Failure prognostic method and application of high-pressure heater in reheating system of thermal power plant

Author(s):: LIN Yicun; WU Qingyun; YAO Zhi; WANG Tao; LI Zhao; TAN Xiangshuai; GUO Yunfei; ZHAO Wei; GAO Jinghui; Xi’an Thermal Power Research Institute Co., Ltd., Shaanxi Xi’an 710054, China

摘要:: 通过对机组运行特性的总结归纳，针对高压加热器（下称“高加”）运行过程可能出现的故障，分别建立高加阀门故障预警模型及高加泄漏故障预警模型，在机组运行阶段对高加状态进行实时监测。在机组运行过程中，高加泄漏故障预警模型可以对高加泄漏故障进行准确识别并发出预警。此外，结合对泄漏高加端差的计算分析，对泄漏位置进行辅助判断。高加故障预警方法应用结果表明，高加故障预警模型能够实时对高加运行过程进行监测及故障预警，且预警结果准确无误，对保证机组安全稳定运行提供了有力保障。此外，由于高加阀门在实际运行过程尚未出现卡涩故障，因此未触发相应的故障预警。以上技术可供相关机组进行借鉴。

Abstract:: Through summarizing the operation characteristics of the unit, aiming at the possible faults in the operation process of high-pressure heater, the early warning models of high-pressure valve fault and high-pressure leakage fault are established respectively, and the high-pressure state is monitored in real time during the operation stage of the unit. During the operation of the unit, the high-pressure heater leakage fault warning model can accurately identify and issue early warning. In addition, combined with the calculation and analysis of the high-end difference of leakage, the leakage position is assisted to determine. The application results of the fault early warning method show that the fault early warning model can monitor and warn the operation process of the high-speed train in real time, and the early warning results are accurate, which provides a strong guarantee for the safe and stable operation of the unit. In addition, due to the high valve in the actual operation process has not yet appeared jam fault, so did not trigger the corresponding fault warning. The above technologies can be used for reference by relevant units.

[1] 匡江红, 陈端雨. 1000MW级火电机组锅炉发展综述[J]. 动力工程学报, 2003, 23(1):2127-2134.

[2]秦刚华, 雷丽君, 郭鼎,等. 燃煤电站高压加热器系统故障仿真与诊断[J]. 热力发电, 2019, 48(6):108-114.

[3] 邓宏举. 高加运行中管束泄漏的判断方法[J]. 电力安全技术, 2009(6):65-68.

[4] 刘婷. 锅炉汽轮机组汽水循环系统泄漏故障智能定位及诊断[D]. 北京: 华北电力大学, 2016: 11-12.

[5] 刘文柱, 刘琰, 肖镇. 高压加热器泄漏原因分析及改进措施[J]. 热力发电, 2006, 35(7): 48-49.

[6]张欣刚, 王雷, 徐治皋,等. 高压加热器泄漏的静态仿真计算及其故障特征分析[J].热力发电, 2004, 46(2):13-17.

[7] 叶盛春, 张何境, 魏豪. 超超临界机组高压加热器泄漏案例分析与节能[J]. 清洗世界, 2022, 38(05): 6-8.

[8]王坤. 高加泄漏原因分析及预防措施[J]. 中国设备工程, 2020, 8: 136-138.

[9] 杨海生, 冯为强, 刘春报, 等. 末级高加端差性能修正曲线的分析与评价[J]. 电力建设, 2021, 31(4): 76-78.

[10] 杨金戈. 330 MW机组高压加热器温升低问题的处理对策[J]. 中国设备工程, 2021, 5: 96-97.

[11]朱迪. 某电厂300 MW机组#3高加下端差上升原因分析[J]. 中国设备工程, 2019, 3: 158-162.

备注/Memo:: 收稿日期：2022-07-11
作者简介：
蔺奕存（1992），男，陕西西安，硕士，工程师，研究方向为主要研究方向为机组启动调试、运行优化及故障分析。

更新日期/Last Update: 1900-01-01