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Using a core-vector machine to correct the steam-separator temperature deviations of a 1000 MW boiler

机译：使用核矢量机校正1000 MW锅炉的蒸汽分离器温度偏差

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摘要

Steam-separator temperature is an important parameter of ultra-supercritical boilers, where temperature deviations result in an increase in feed-water and a fast decline in steam temperature. Optimizing temperature deviations through manual operating-variables adjustments is difficult because of the complex relationships among influencing factors, as well as unacceptable increases in combustion air from opening baffles. Therefore, this research has used a core-vector regression (CVR) algorithm to model steam-separator temperature deviations. CVR is an extremely fast way to model the process and gives more accurate predictions than a support vector machine (SVM). Seventy-seven operating parameters were used as inputs, the objective was set as the temperature deviation factor of all the steam separators, and in total 17,338 experimental cases from the DCS were used in this study. Secondary-air volume adjustments at the C and D levels in #4 corner were carried out at different boiler loads in field tests, and the temperature deviation after each test was compared with the original value. Results showed that steam-temperature deviation was decreased by 29.6% and 36.3% respectively at 700 MW and 530 MW after secondary-air volume was adjusted to the target value.
机译：蒸汽分离器的温度是超超临界锅炉的重要参数，温度偏差会导致给水增加和蒸汽温度快速下降。由于影响因素之间的复杂关系，以及通过打开挡板产生的燃烧空气不可接受的增加，通过手动操作变量调整来优化温度偏差非常困难。因此，本研究使用核矢量回归（CVR）算法对蒸汽分离器的温度偏差进行建模。与支持向量机（SVM）相比，CVR是一种非常快速的过程建模方法，可以提供更准确的预测。使用77个运行参数作为输入，将目标设定为所有蒸汽分离器的温度偏差因子，本研究中总共使用了来自DCS的17,338个实验案例。在田间试验中，在不同锅炉负荷下，在＃4角C和D处进行了二次风量调节，并将每次试验后的温度偏差与原始值进行了比较。结果表明，将二次风量调节至目标值后，在700 MW和530 MW时，蒸汽温度偏差分别降低了29.6％和36.3％。

著录项

  • 来源
    《Fuel》 |2014年第15期|142-148|共7页
  • 作者

    Hao Zhou; Kang Zhou; Qi Tang; Shangbin Chen; Kefa Cen;

  • 作者单位

    State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China;

    State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China;

    State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China;

    Ninghai Power, Ninghai 315600, People's Republic of China;

    State Key Laboratory of Clean Energy Utilization, Institute for Thermal Power Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CVR; Steam temperature deviation; Combustion optimization;

    机译：CVR;蒸汽温度偏差;燃烧优化;

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