Research And Implementation Of Distribution Network Diagnosis Method Based On Big Data Technology

In recent years,the promotion of smart distribution network construction has improved the management level of distribution network,but the dispatching and operation and maintenance management of distribution network has yet to be further improved.On the one hand,the distribution network lacks data from some links,and on the other hand,it has difficulties in analyzing large amounts of data.For example,the network dispatching system cannot obtain the full data of the distribution network,the fault handling efficiency of the distribution network is low,and the monitoring of massive data is difficult,and the analysis is difficult.For power supply and distribution companies striving to build smart grids,an effective path and solution are urgently needed to overcome these problems.With the construction of smart grids and information technology,the power industry has accumulated massive data,featuring big data in terms of data volume,diversity,speed and value.The development of information technology and communication technology,as well as the emergence and advancement of new technologies such as big data,business intelligence,and data mining,have provided new technical means for solving these problems.Based on the distribution automation related system of Zhenjiang Power Supply Company,this paper studies the diagnosis method and implementation of distribution network based on big data technology by using big data and business intelligence technologies.By integrating the time series database in the distribution network dispatching technical support system,the degree of leanness of the distribution network data in the storage link is improved,and the means of data fusion is provided to make up for the lack of data in the distribution network dispatching system.The software of distribution network diagnosis platform based on big data technology is constructed.The new method of distribution network diagnosis based on big data is used to study the alarm information,fault location and equipment health status of distribution network.Develop application software for distribution network diagnosis,provide intelligent distribution network diagnostic methods for business personnel,provide data support for management decision-making,implement data lean management in distribution network field,and improve data analysis and mining of distribution network The ability to effectively utilize the data in the existingdistribution network automation system and other related systems,solve the embarrassing situation of “large data and lack of information”,improve the application function of the distribution network,meet the needs of various departments of the distribution network,and improve the distribution.Grid operation reliability and management are more efficiency.