The Distribution Network Fault Location System Based On Cloud Server

In China,With the rapid development of economy,the scale of power system is also constantly expanding,the network also becomes more complex,so the possibility of a power system failure also will increase.When the power system fails,it is important to be able to locate the fault spot quickly and deal with it as soon as possible.This requires a management software that can effectively and quickly troubleshoot fault information to manage the distribution network.Therefore,to improve the efficiency and accuracy of distribution network fault location,we design the distribution network fault location system based on cloud server.This article first analyzes the distribution network fault location principle,and puts forward the overall scheme design of fault location system based on cloud service.And then introductes the software development environment and the key technology,chooses to use the Java language in the Eclipse environment.And then completed the design of distribution network fault location system center software development,realizing the function of data acquisition and processing,fault location and alarm function,finally,the function of the central station software has been tested and tested successfully.In this paper,design and development of cloud server software,its function is to collect real-time distribution network and to monitor the running status information,process the data to determine whether the failure and fault location,if failure occurs,alarm and through the interface of the software window display orientation as a result,convenient for maintenance personnel to check the distribution network,possesses the advantages of intuitive visual.The system integrates real-time monitoring of distribution network,quick return monitoring information,fault analysis and positioning,fault alarm and other functions,shortening the staff found and troubleshooting the time to improve the efficiency while reducing the human workload,The reliability of the grid operation can be further improved.