数据挖掘技术在火电厂优化运行中的应用

火电机组运行优化目标值的合理确定是实施机组性能诊断和优化运行的前提和基础，是电站运行优化的关键。采用传统方法确定的优化目标值往往不能正确反映机组的实际运行状态。充分利用火电厂生产运行的大量历史数据，提出了数据挖掘的火电机组运行优化方法，将模糊关联规则应用于火电厂运行优化目标值的确定。以某300MW机组历史数据为基础，运用这一方法得到各典型工况下的最优值以指导实际运行。试验结果表明，基于数据挖掘的火电厂运行优化目标值确定方法可以提高机组运行效率，降低污染物排放。

Application of Data Mining Technique in Optimizing the Operation of Power Plants

Rationally fixing operation optimization target values of fossil fired power sets is the precondition and also forms the basis for effectuating performance evaluation and operation optimization.It therefore is vital for optimizing the operation of power plants.Actual states ofoperation of power sets can often not be correctly reflected by optimization target values determined with traditional methods.A way of establishing optimized systems is proposed by applying data mining technique for making full use of the large amount of historical data stored in power plants.The optimization target of a fossil fired power plant's operation is found by applying fuzzy association rule mining algorithm.As a practical example optimal values for all modes of operation of a certain 300MW power set are found which may be used for guiding actual operation.Test results show that the application of data mining technique for determining operation optimization targets of fossil fired power plants can raise the power set's efficiency and reduce the emission f contaminants.Figs 4,table 1 and refs 9.