基于关联规则的配电网薄弱点诊断研究  

Association Rules-based Diagnosis of Vulnerabilities in Distribution Networks

作　　者：楼冯梁 LOU Fengliang(Hangzhou Xiaoshan Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 311200,China)

机构地区：[1]国网浙江省电力有限公司杭州市萧山供电公司,浙江杭州311200

出　　处：《电工技术》2024年第9期77-80,共4页Electric Engineering

摘　　要：配电网运行过程中,电气设备的薄弱点处常发生各类故障,对配电网可靠性带来了严重影响,因此提出了基于无向FP-network的配电网薄弱点分析诊断方法。首先介绍了关联规则中支持度、置信度和不平衡比三种判断指标的基本概念及实际应用意义;然后介绍了配电网薄弱点故障数据的收集与整理,对后续进行关联规则的故障数据作了预处理,并建立了配电网薄弱点分析模型;最后通过算例分析,验证了无向FP-network在配电网薄弱点分析诊断中的可行性及准确性,且准确度可达90%以上。During the operation of the distribution network,various faults often occur at the weak points of electrical equipment,which seriously affect reliability.Hence this paper proposes a distribution network vulnerability analysis and diagnosis method based on undirected FP-network.First the basic concepts and practical applicative significance of the three judgment indicators of support,confidence and imbalance ratio in association rules are described.Then collection and collation of distribution network vulnerability fault data are outlined,the fault data of subsequent correlation rules is preprocessed,and the distribution network vulnerability analysis model is established.Finally undirected FP-network is verified through case analysis feasible and accurate in diagnosing distribution network vulnerabilities with an accuracy of higher than 90%.

关 键 词：薄弱点分析 关联规则 数据挖掘 FP-network算法 

分 类 号：TM76[电气工程—电力系统及自动化]