基于相关性分析的一次风量控制优化研究

Optimization of Primary Air Volume Control based on Correlation Analysis

针对火电厂制粉系统混合风测量直管段太短,冷热风混合不均,紊流现象严重,导致一次风量无法实现精确控制的问题,基于相关性分析方法,对磨煤机一次风量控制系统优化。首先,采用皮尔逊相关系数对影响一次风量的主要因素进行相关性分析。其次,采用软测量方法弥补冷热风混合不均、测量不准的缺陷。利用国内某1000 MW超超临界机组进行试验验证。试验结果表明:该优化方法具备良好的跟踪、抗干扰能力,可实现一次风量精准控制,提高机组经济燃烧能力。

Aiming at the problem that straight pipe section of mixing air measurement in the pulverizing system of a thermal power plant is too short,the cold and hot air are mixed unevenly,and the turbulence phenomenon is serious,resulting in inability to achieve accurate control of primary air volume.Based on the correlation analysis method,the control of primary air volume system of a coal mill is optimized.Firstly,Pearson correlation coefficient is used to analyze the main factors affecting primary air volume.Secondly,the soft measurement method is used to compensate uneven mixing of hot and cold air and inaccurate measurement.A domestic 1000MW ultra supercritical unit was used for test verification.The experimental results show that proposed optimization method has good tracking and anti-interference capabilities,can achieve accurate control of primary air volume,and improve the economic combustion ability of unit.