锅炉经济性分析及最优氧量的确定

Boiler Economic Analysis and the Determination of Optimal Oxygen Content

在锅炉送风及炉膛压力控制系统中，氧量设定值的改变会导致锅炉热损失及送风机电耗的改变，从而影响电站经济性．针对机组运行状态发生改变后的氧量最优值更新问题，提出了改进的增量式模糊数值型关联规则挖掘算法，并以1台300MW机组为例进行了分析．结果表明：这种新的挖掘算法与传统的数据挖掘方法相比，具有良好的快速性，效率可提高4～16倍，大大减少了候选项集的数目，因而大量减少了重复计算的费用．该方法确定的氧量最优值可有效降低机组供电煤耗效率，并可提高机组运行经济性．

In air supply and furnace pressure control system, change of oxygen content set point will cause boiler heat loss and change forced-draft-fan power consumption, which affect boiler efficiency. Improved incremental updating fuzzy association rule mining algorithm was proposed to solve the determination of optimal oxygen content when unit operation state changes. The analysis of the actual example of a 300MW unit shows that, compared with the normal data mining method, this algorithm has more quickly response and its efficiency can be improved 4-16 times, candidate itemsets can be reduced greatly as well as reduce the repeat calculation cost. The optimal oxygen content determined by this method can ruduce coal consumption rate effectively and increase unit operation efficiency.