大数据分析下的配电网络故障趋势判断研究

Research on Fault Trend Judgment of Distribution Network Based on Big Data Analysis

对我国配电网络故障趋势判断工作,是提高配电网络安全性能重要的基础形式,其对提升配电网络安全性有着极大的意义。对于以往的配电网络的故障趋势判断方法来说,一直都存在着趋势判断不准确以及误差偏大的问题,而以大数据分析为基础的配电网络故障趋势判断方法的提出,为配电网络故障趋势判断工作的开展提供了一定的帮助,能够有效解决以往工作当中存在的问题。在对配电网络故障趋势判断进行分析的原理基础之上,有效的运用S变换法来获得配电网络的复数矩阵,而且在此基础之上,合理地运用BP网络来获得配电网络的故障信号表现,从而引入到大数据分析法,合理地对配电网络的故障趋势进行有效判断。该形式能够有效地解决传统判断方法中存在的问题,更能提升整体工作的效率和质量,为配电网络故障趋势判断工作的开展提供有利保障。

For China’s distribution network fault trend judgment work,it is an important form based on improving the safety performance of high distribution network,which has great significance for improving the security of distribution network.For the fault trend judgment method of the distribution network in the past,there have always been problems of inaccurate trend judgment and large errors,and the method for judging fault trends of distribution networks based on big data analysis is proposed.The distribution network fault trend judgment work has provided some help and can effectively solve the problems existing in previous work.Based on the principle of analyzing fault trend judgment of distribution network,the S-transform method is effectively used to obtain the complex matrix of the distribution network,and on the basis,the BP network is used to obtain the fault signal of the distribution network.Performance,which led to the introduction of big data analysis method,effectively judged the fault trend of the distribution network.For this type of problem,it can effectively solve the problems existing in traditional judgment methods,and it can improve the efficiency and quality of the overall work,and provide favorable protection for the development of the fault trend judgment of distribution network.