Power System Fault Data Management And Analysis

As a national pillar energy industry,electric energy has always been an important factor that affects the economic development and quality of life of the country.Whether it can provide a safe,stable and reliable output of electric energy will play a mainstay in the growing social environment.Therefore,to ensure the safe and stable operation of the power system,it has very important economic and social benefits.The research direction of this article is to classify the fault data of the power system into a unified one and to excavate and analyze the data therein so as to quickly identify the fault when it occurs so that the fault can be dealt with promptly.Early warning of high-risk equipment can be done before the fault occurs,Before it.Specifically from the following aspects:According to the existing equipment condition of the power system,a new method of establishing a connection between equipment and secondary equipment is put forward.By analyzing the transient components of fault extraction through mathematical and physical analysis,the fault data calculation and analysis library is established,and In the past,the decentralized protection was compared and the direction of centralized tuning and distributed computing was pointed out.By standardizing the history of precipitation information into a unified format of data,and compare the existing several database types selected based on No SQL technology Mongo DB as a data conversion and storage of data warehouse.Because of the current status of a wide range of data can not be changed,this paper follows the ETL idea,integration of different fault data,the establishment of COMTRADE format fault database for fault data storage and transfer.The standardized data management function is realized,which greatly facilitates the identification of the type of electrical system fault.The analysis function of power system fault data is based on the overall architecture of Map-Reduce data analysis system.The application of FCM clustering algorithm in the field of power system fault analysis is studied.The fuzzy clustering algorithm is used to carry out the clustering of faulty device information class.Greatly improve the system's response speed,the analysis of high-risk equipment used in the actual work can be very significant to reduce the amount of unnecessary labor.According to the site needs,using CS architecture,written in Java,the use of Netty as a communication framework,the use of Google's proto Buf transfer object serialization,the use of Swing as the display layer,the use of Maven as a version controller,the use of JSCI analysis of the results of the drawing,And based on the java language itself,gives the realization of the optimization.Completed the development of power system fault simulation system,completed the fault management system by manually setting the fault status,carried out the network experiment,and verified the feasibility and accuracy of the system functions in the field work.On the original mode of operation and operation of the system after the operation of the same problems and situations made a comparative analysis.