摘要
电站锅炉炉膛温度场的均衡性与锅炉的安全、稳定运行息息相关,尤其是四角切圆燃烧锅炉,火焰中心极易发生偏斜。针对这一问题,根据四角切圆的形成方式分析影响温度场均衡性的主要因素,从燃烧调整试验中总结出二次风门开度与炉膛温度的关系。利用最小二乘支持向量机对稳定工况下的温度场均衡性建立回归预测模型,并根据试验结论确定优化方案,利用遗传算法对二次风门开度变化量进行寻优,以期减小火焰中心位置的偏斜。结果证明,最小二乘支持向量机模型精确度很高,泛化能力较强,经遗传算法优化后的温度场均衡性品质变好。
The balance of the power plant boiler furnace temperature field is closely related to the safe and stable operation of the boiler, especially in tangentially-fired boilers, the flame center often tends to deflect. To solve this problem, the main factors affecting the temperature field balance are analyzed from the aspect of the formation of the flame center. The relationship between the secondary throttle opening and the furnace temperature is figured out. The regression forecast model for the temperature field balance under stable conditions is established in LSSVM to determine the optimization plan based on the experimental results. By using the genetic algorithm （GA）, the variation of the secondary throttle opening is optimized to reduce the flame center deflection. The results demonstrate that the accuracy of the LSSVM model is high with strong generalization ability, and the temperature field balance is improved after the optimization with the genetic algorithm.
出处
《中国电力》
CSCD
北大核心
2016年第4期124-130,共7页
Electric Power
关键词
锅炉
温度场均衡性
声波测温
支持向量机
遗传算法
boiler
equilibrium of temperature field
acoustic temperature measurement
support vector machine
genetic algorithm
