基于FP-network关联规则挖掘算法的配电网薄弱点分析研究

针对配电网运行时经常发生故障的情况,如何快速高效地寻找出配电网中的薄弱点成为了当下配电网安全运行的一大难题。文中采用频繁模式网络(FP-network)模型,建立事务-项目的关联矩阵,并且将所需要进行关联规则挖掘的数据储存在关联矩阵中,从而进行关联规则的数据挖掘。通过算例分析证实了FP-network关联规则挖掘算法可用于配电网薄弱点分析中,并通过配电网实际运行情况验证了该算法的可行性。该算法对配电网数据库中的故障数据仅仅需要进行一次扫描,从而提高了配电网故障数据关联规则挖掘的效率,更有利于配电网实时更新数据库,为分析检测配电网运行中的薄弱点提供了技术支持。

Analysis and research on weak point of distribution network based on FP-network association rule mining algorithm

In view of the frequent failures in the distribution network,how to find out the weak points in the distribution network quickly and efficiently has become a big problem for the safe operation of the distribution network.In this paper,FP-network model is used to build the transaction item association matrix,and the data needed to mine association rules is stored in the association matrix to mine association rules.The example analysis proves that the FP-network association rule mining algorithm can be used in the analysis of weak points in the distribution network,and the feasibility of the algorithm is verified through the actual operation of the distribution network and the algorithm.The data only needs to be scanned once,which improves the efficiency of the distribution rule mining of distribution network fault data,is more conducive to real-time update of the distribution network,and provides technical support for the analysis and detection of weak points in the operation of the distribution network.