输变电设备状态大数据分析应用探讨

Discussion on big data analysis and application of power transmission and transformation equipment

随着电网数据急剧增加,传统的数据挖掘和分析方法已经不能适应当前智能电网的要求,而大数据分析为此提供了相应的实现手段。首先简述了大数据技术理论,并从输变电设备状态分析及应用的具体电网业务角度出发,开展数据整合、数据存储、数据计算、数据分析和结果可视化五部分工作;然后针对输变电设备历史缺陷数据和全过程技术监督的问题数据,应用主成分分析法和聚类算法,构建变压器设备缺陷特征分析模型,实现将设备缺陷内容归类特征贴标签,为电网运检人员提供相关决策的数据分析依据;最后介绍了开展输变电设备潜伏性故障关联预测研究的工作展望。

With the rapid increase of the power grid data,the traditional data mining and analysis methods of smart grid,and the big data analysii provides corresponding means to achieve it. The big date technology firsthand from the analysis and application of specific power grid business of power transmission the five parts of data integration,data storage,data calculation,data analysis and visualization of results to the historical defect data of transmission equipment and problem data of whole technical supervision process,using principalcomponent analysis and clustering algorithm,the defect characteristics analysis model of transformer equipment was built,and realizedthe equipment defect classification labeling,which providing suggestions to operation and maintenance Finally the prospects for further work of latent fault prediction of power transmission equipment was discussed.