摘要
针对某600MW燃煤机组制粉系统及配风方式优化,在其历史运行数据库的基础上,采用改进关联规则挖掘算法对磨煤机一次风量、给煤机速率、磨煤机出口风压及二次风门开度等参数进行挖掘,得到了优化后全工况下各运行参数的最优参考值.结果表明:在中低负荷段,保证煤量要求的前提下,减少磨煤机台数能够降低制粉系统运行能耗;在相同磨煤机组合方式下,优化后工况的净单位发电量明显提升,有效降低了制粉系统运行能耗;优化后的二次风配风方式呈束腰型分布,在保证稳燃的同时提高了锅炉效率,降低了NO_x的生成量.
To optimize the coal pulverizing system and air distribution mode of a 600 MW thermal power unit,data mining was carried out on following parameters by an improved Apriori algorithm for mining association rules based on the historic operating data of the system,such as the primary air flow of coal mill,the flow rate of coal feeder,the exit air pressure of coal mill,the opening of secondary air door and so on,during which optimum reference values of operation parameters were obtained under full conditions.Results show that in the medium-and low-load range,the power consumption of the pulverizing system could be decreased by reducing the running number of coal mills under the premise of ensuring the pulverized coal supply;for the same combination of coal mills,the net power generation per unit of coal has been improved remarkably after optimization,reducing effectively the power consumption of the pulverizing system;the secondary air distribution after optimization presents a constricted shape,resulting in stable combustion,high efficiency and low NOx emission of the boiler.
作者
李建强
陈星旭
赵凯
汪安明
LI Jianqiang CHEN Xingxu ZHAO Kai WANG Anming(School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, Hebei Province, China)
出处
《动力工程学报》
CAS
CSCD
北大核心
2017年第11期876-882,911,共8页
Journal of Chinese Society of Power Engineering
关键词
制粉系统
配风方式
数据挖掘
关联规则
pulverizing system
air distribution mode
data mining
association rule
