数据挖掘在电网安全性评价中的应用  

Application of Data Mining in Power Network Safety Evaluation

作　　者：程政[1] 雷霞[1] 廖翔[1] 马一凯[1] 柏晓丽[1] 

机构地区：[1]西华大学电气信息学院,成都610039

出　　处：《电气技术》2010年第8期97-99,共3页Electrical Engineering

基　　金：四川省科技厅科研基金(2009JY0139)

摘　　要：针对电力系统存在的危险点,提出了一种新的查找方法:数据挖掘方法。本文通过建立一个智能化的数据挖掘工具,从电力系统安全性评价数据库的大量历史数据中获取电力系统中存在的危险点从而指导管理者进行决策。数据挖掘工具的核心是:采用Apriori算法找关联规则从而判断影响电网安全性的危险点。通过危险点查找,确认发生事故的可能性及其严重程度,提出相应的整改和控制措施,达到预防、控制隐患和事故。An entirely new search method,data mining,has been put forward to figure out the dangerous points that might exist in power system.Via establishing an intelligent data mining tool and on the basis of numerous historical data in power system security assessment database,method of data mining gains the dangerous points in power system to guide administrators to make correct decisions.The core of the tool of data mining is judging the dangerous points that may affect power network security by using association rules based on Apriori algorithm.By searching for the dangerous points,people can confirm the possibility and severity of an accident and then make relevant amendments and control measures to prevent and control the safety hazards and accidents.

关 键 词：数据挖掘 关联规则 危险点 APRIORI算法 

分 类 号：TM711[电气工程—电力系统及自动化]