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基于数据挖掘的火电机组运行模式建立方法研究
引用本文:隋丽颖,黄孝彬,谭文,田志强,李娜. 基于数据挖掘的火电机组运行模式建立方法研究[J]. 现代电力, 2010, 27(2)
作者姓名:隋丽颖  黄孝彬  谭文  田志强  李娜
作者单位:华北电力大学控制科学与工程学院,北京,102206
摘    要:为使火电机组运行方式更经济,充分利用火电厂历史运行数据,设计一种基于聚类分析的模式归并算法,用于建立火电机组典型的运行模式集合。该算法以划分工况区间的数据为挖掘对象,通过对典型热力参数的相似性比较与分析,将满足条件的运行记录归并为一类运行模式。运行模式集合挖掘完毕后建立典型运行模式库。利用该归并算法对盘山电厂历史运行数据进行挖掘,结果表明了算法的有效性。

关 键 词:火电厂  运行模式  聚类分析  归并算法  数据挖掘

Research on Establishment Method of Thermal Power Units Operation Mode Based on Data Mining
Sui Liying,Huang Xiaobin,Tan Wen,Tian Zhiqiang,Li Na. Research on Establishment Method of Thermal Power Units Operation Mode Based on Data Mining[J]. Modern Electric Power, 2010, 27(2)
Authors:Sui Liying  Huang Xiaobin  Tan Wen  Tian Zhiqiang  Li Na
Affiliation:Sui Liying,Huang Xiaobin,Tan Wen,Tian Zhiqiang,Li Na(School of Control Science , Engineering,North China Electric Power University,Beijing 102206,China)
Abstract:The concept of operating mode is proposed by analyzing the influence of the thermal power plant operating mode on economy. A kind of model mergering algorithm based on clustering analysis is designed with full use of power plant operation data,which is used to establish a typical set of operating modes of thermal power units. In this algorithm,data of dividing range of operating condition are set to mine objects through comparison and analysis of the similarity among these typical thermal parameters. The op...
Keywords:power plant  operating mode  clustering analysis  mergering algorithm  data mining  
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