变电站智能诊断和维护系统体系结构研究

Research on operation and management mode of intelligent substation based on regulating and controling

在实际运行的过程中,具有相似故障征兆的变压器往往具有大致相类似的故障原因,因此,依托于变压器的运行数据,采取基于数据驱动的变压器故障分析是实现变电站智能控制和诊断的有效方法。利用Map Reduce构建了多数据源的并行特征提取与对比算法,可以有效地对变压器故障征兆进行分析,从而实现故障点的及时维护。

In the process of actual operation, the transformer with similar fault symptom often had the similar cause ofthe fault. Therefore, it was an effective method to realize the intelligent control and diagnosis of the transformer basedon the data failure of the transformer. MapReduce was used to construct a parallel feature extraction and comparisonalgorithm of multiple data sources, which could effectively analyze the fault symptoms of the transformer, so as torealize the timely maintenance of the fault point.