火电厂运行状态监测数据挖掘技术综述  

An Overview of Data Mining Techniques in the Monitoring of Running State of Thermal Power Plants

作　　者：翟淑伟[1] 石奇光[1] 杨燕玲[1] 金蓉[1] 霍焕广[1] 

机构地区：[1]上海电力学院能源与环境工程学院,上海200090

出　　处：《华东电力》2012年第2期292-295,共4页East China Electric Power

基　　金：上海市科委科技攻关资助项目(08DZ1201200;08DZ1201502);上海市科委科研计划项目(10DZ0500800)~~

摘　　要：火电厂实时数据库存储了大量的电厂运行状态监测数据,其中隐藏了许多有益的信息。对火电厂运行状态监测数据挖掘技术的应用现状、存在的不足和发展前景进行了研究和探讨,提出了基于数据挖掘技术的火电厂全工况反平衡运行状态分析是有应用前景的研究方向之一,为深化利用数据挖掘技术,实现火电厂优化运行奠定基础。The real-time data base of thermal power plants stores a great quantity of monitoring data concerning running state of the power plants bearing much useful information that can help improve operating efficiency and equipment security.This paper has studied the data mining techniques applying to the monitoring of running state of thermal power plants,investigated its application status,analyzed its limitations and prospects,and put forward research direction towards running state in terms of all operating condition and anti-equity method based on data mining techniques,which lays a foundation for further employing data mining techniques to optimize the operation of thermal power plants.

关 键 词：火电厂 运行状态监测 数据挖掘 优化运行 

分 类 号：TK012[动力工程及工程热物理]