基于数据挖掘的专家系统在电厂负荷分配中的应用

The Expert System Based on Data Mining and Its Application in Load Dispatch

目前许多电站负荷分配需要使用机组效率曲线,但是由于机组效率曲线是通过模型机得来,在实际运行中难免会有误差。如果通过实测资料对效率曲线进行率定,又可能由于系统误差而不准确。提出一种避免使用机组效率曲线的负荷分配方法,在专家系统的基础上,通过对知识库进行充分的数据挖掘,从而确定负荷分配。该方法通过实际运行,是一种在缺乏机组效率曲线下有效可行的办法。

At present, in order to dispatch load, lots of hydropower stations need to use the unit efficiency curve, which more or less has some errors because it is obtained by model test. The precision cannot be improved because of system error if the curve is identified according to practical data. This paper presents a new method to distribute load to every unit through mining knowledge database fully based on expert system to detemaine the load distribution properly, thus to avoid using the unit efficiency curve It is proved that this is an efficient and feasible method under the circumstance that lack of the unit efficiency curve through application in practice.