关联规则在输电网安全性评价中的应用  

Application of Association Rules to Safety Evaluation of Transmission Network

作　　者：程政[1] 雷霞[2] 柏小丽[1] 徐博海 

机构地区：[1]泸州电业局,四川泸州646000 [2]西华大学电气信息学院,四川成都610039 [3]国电大渡河瀑布沟水利发电总厂,四川雅安625304

出　　处：《四川电力技术》2011年第4期52-54,共3页Sichuan Electric Power Technology

摘　　要：一种新的查找方法:数据挖掘方法,用来查找输电网存在的危险点。建立了一个智能化的数据挖掘工具,从输电网安全性评价数据库的大量历史数据中获取输电网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输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 searching method,data mining,has been put forward to figure out the dangerous points that might exist in transmission network.An intelligent data mining tool is established,and on the basis of numerous historical data in safety evaluation database of transmission network,the data mining method can obtain the dangerous points in transmission network to guide the administrators to make correct decisions.The core of data mining tool is to find association rules through Apriori algorithm to judge the dangerous points that may affect the security of transmission network.By searching for the dangerous points,the possibility and severity of the accident can be confirmed,and then the relevant amendments and control measures are proposed 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：TM762[电气工程—电力系统及自动化]