多源数据挖掘在配网运行监控平台设计中的应用

Application of multi-source data mining in design of distribution network operation monitoring platform

传统平台在配网运行监控中的应用效果不佳,不仅错误识别监测数量较多,而且配网运行恢复时间较长,无法达到预期的监控需求,因此,文章提出多源数据挖掘在配网运行监控平台设计中的应用。针对平台软件设计,利用无线传感技术采集配网运行状态量数据并通过对数据残差进行修正,以实现对配网运行状态数据的预处理。利用多源数据挖掘技术对配网运行状态数据进行关联分析以挖掘数据关联关系,确定配网运行故障率。利用关联规则定位配网运行故障位置。通过对隔离开关的控制实现对配网运行故障的隔离,以完成配网运行监控平台的设计。经实验证明,该设计平台错误识别监测数量较少,配网运行恢复时间较短,在配网运行监控方面具有良好的应用前景。

The application effect of traditional platforms in distribution network operation monitoring is not good,not only the number of false identification monitoring is large,but also the distribution network operation recovery time is long,which cannot meet the expected monitoring requirements.Therefore,this paper proposes multi-source data mining in distribution network operation monitoring The application of platform design.For platform software design,wireless sensing technology is used to collect distribution network operation status data and correct the data residuals to realize the preprocessing of distribution network operation status data.Multi-source data mining technology is used to conduct correlation analysis on distribution network operation status data to mine data association relationship and determine distribution network operation failure rate.Association rules are used to locate distribution network operation fault locations.The isolation of distribution network operation faults is realized by controlling the isolation switch,so as to complete the design of distribution network operation monitoring platform,Experiments have proved that the design platform has a small number of false identification monitoring and a short distribution network operation recovery time,which has good application prospects in distribution network operation monitoring.