摘要
提出了基于语言值关联规则挖掘的电厂运行参数优化目标值确定方法,通过挖掘某电厂300 MW机组历史运行数据,发现机组各运行参数间的关联关系,并据此确定参数最优值。首先利用FCM算法软化划分边界,将连续值转变为离散值,再用语言值关联规则挖掘算法进行挖掘,得到机组运行效率较高时对应的参数运行区间作为最优值区间以指导机组优化运行,理论分析表明挖掘结果能够正确反映机组运行规律。
This paper introduces language association rule into the decision of operation optimization value, By mining history operation data of a 300 MW unit, the association rule between parameters is found and applied to decide optimal parameter values. FCM algorithm is used to soften partition border when quantitative data is divided into discrete data. Then language association rule mining algorithm is used to mine optimal target value to guide operation optimization. Experiments and theory calculating show that the algorithm is effective and practical.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2008年第4期53-56,共4页
Journal of North China Electric Power University：Natural Science Edition
基金
国家自然科学基金资助项目(50776030)
华北电力大学博士学位教师科研基金(93102701)
