Font Size: a A A

Design And Implementation Of Real-time Intelligent Data Analysis System For Distribution Network

Posted on:2020-11-19Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y ChenFull Text:PDF
GTID:2392330605461220Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Distribution network is at the end of power supply chain in terms of voltage level,as far as the level of customer service is concerned,it is also the front end and the most important link of the whole power supply system which is most directly oriented to the vast number of power users,its purpose is to provide high-quality power and services to power users.Distribution network involves a wide variety of users and equipment,how to effectively analyze and utilize the basic information and operation data of distribution network is particularly important for power enterprises to improve the level of power supply service in distribution network.Because of the huge amount of real-time data such as the daily operation and maintenance of distribution network,Research and development of intelligent data analysis system for distribution network operation to realize real-time data monitoring and analysis,it can effectively improve the efficiency of data analysis and processing,enhance the level of daily operation and maintenance of distribution network,reduce the pressure of emergency repair of distribution network personnel,and reduce the cost input of enterprises.It provides strong technical support for the decision-making of distribution network construction,capital investment,operation and inspection of power enterprises.In view of the existing problems in distribution automation,an intelligent data analysis system for distribution network based on real-time data of distribution network is developed.The system mainly includes five functional modules:data monitoring,standard operation and maintenance,distribution and emergency management,device monitoring and system maintenance.Among them,the data monitoring function module mainly realizes the functions of real-time operation data collection and summary of distribution network lines,precise positioning of fault location and statistical summary of fault details,and guides the daily operation,maintenance and repair business of distribution network lines.The standard operation and maintenance module mainly realizes the functions of inquiry and modification of distribution network line model information,input of terminal device parameters,setting,risk assessment inquiry and modification,and ensures the accuracy of basic data of distribution network line operation.The function module of distribution emergency management mainly realizes multi-dimensional inquiry and statistics function of distribution network emergency repair business according to emergency repair team,repair time,fault reason,voltage level,fault equipment,etc.It guides the daily emergency repair business of distribution network and provides basic support for later project reserve.The function module of device monitoring mainly realizes the functions of on-line monitoring of real-time operation information such as remote data,temperature,battery voltage,signal quality of terminal device and fault alarm of terminal device,so as to ensure the safe and stable operation of terminal device.The system maintenance function module mainly realizesuser account,authority allocation and other system daily management at all levels,and ensures the normal operation of business at all levels of the system.The system has been tested and applied in power supply enterprises in some cities of Gansu Province,and the design requirements of each functional module of the system have been realized through testing.It has achieved good results in monitoring the operation status of distribution network lines and equipment,accurate fault judgment,statistical analysis of fault time and routine emergency repair,and has certain guiding value for routine operation and maintenance of distribution network.
Keywords/Search Tags:Distribution network, Real-time performance, Intelligent data analysis, Accurate judgment
PDF Full Text Request
Related items