基于大数据分析的配电网络故障趋势判断

Fault trend judgment for distribution network based on big data analysis

对配电网络故障趋势进行判断,在提高配电网络安全性能方面具有重要意义。传统的配电网络故障趋势判断方法一直存在趋势判断不准确、误差大的问题,提出基于大数据分析的配电网络故障趋势判断方法。在分析配电网络故障趋势判断原理的基础上,采用S变换法获取配电网络复数矩阵,并以此为基础,通过BP网络方法得到配电网络故障信号特征,引入大数据分析法对配电网络故障趋势进行判断。实验结果表明,采用改进的趋势判断方法,相比传统的判断方法,判断结果精度较高,效率好,具有一定的优势。

The fault trend judgment for power distribution network is of great significance for enhancing power distribution network security performance. The fault trend judgment for traditional power distribution network has the problem of the inaccurate trend judgment and large error, the fault trend judgment for distribution network was put forward based on big data analysis. On the basis of analyzing the judgment principle of power distribution network fault trend, S transformation method was adopted to achieve the plural matrix of distribution network. On this basis,the power distribution network fault signal feature was obtained by BP network method, and the big data analysis method was introduced to judge distribution network fault trend. The experimental results show that with the improved trend judgment method, the judge has high precision and good efficiency, so has a certain advantage compared with the traditional judgment method.