数据挖掘技术在输电线路状态检修中的应用分析

输电线路作为电网的重要组成部分,易受外界环境的影响而发生故障,严重威胁电网的安全运行。本文采用数据挖掘技术对输电线路的运行状态进行分析,建立基于主成分分析的输电线路状态评价的模型及以贝叶斯方法为基础的输电线路故障预测简要模型和基于聚类分析、判别分析的线路检修策略选择模型,实现对输电线路的状态评估、故障诊断及检修策略的选择,为及时发现线路运行的异常状况,提高输电线路运行的安全可靠性提供技术手段。

Application Research of Data Mining in the Condition-based Maintenance of Transmission Line

Transmission line as an important part of the grid is inclined to be affectedby the external condition, which leads to the frequent failure and the serious threat to thepower grid. So, this thesis analyzes the operating status of transmission line based on datamining method, and establishes the evaluation of operation state model based on principalcomponent analysis, the fault diagnosis model based on bayesian methods and linemaintenance strategy choice model based on cluster analysis and discriminant analysis. Itcan realize transmission line condition evaluation, fault diagnosis and maintenance strategyselection, timely detection of line operation potential risks, in order to take measures inadvance.