Analysis And Application Of Electric Energy Measurement And Line Loss Management

Nowadays,as traditional energy sources are becoming increasingly scarce and pollution problems more and more serious,line loss management plays an important role in the development of a country’s power grid,and it also plays a guiding role in power grid development planning and loss reduction measures.With the promotion of smart meters and the continuous improvement of the Beidou satellite navigation system,the era of big power data has arrived.However,the current line loss data analysis and abnormal power use behavior identification methods are mostly based on manpower,so there are limitations in the timeliness and accuracy of line loss data statistics,power consumption information collection and user power monitoring.Therefore,how to apply power data collection and mining technology to line loss management and analysis by combining Beidou satellite navigation system and big data technology,and to solve traditional problems in line loss management,are of great significance for research.Starting from the basic theory and research status of line loss,this article has successively studied data collection technology,mining technology,management system design and application,and the main tasks include:(1)Designing the electric energy measurement data collection scheme and short message analysis algorithm based on the Beidou satellite navigation system,establishing a multi-card management and pre-buffering mechanism.In addition,multi-period active reporting,supplementary data call-to-test rules and long data packet unpacking were added,and the average collection success rate has reached more than 99% through the electric energy measurement data collection test.It can cover all areas of the country 24 hours a day,and it can be combined with the power grid communication network.Compared with the GPS system,it has added two-way short message transmission technology;(2)A preprocessing method based on time series is designed to realize the repair of line loss noise data and abnormal missing value.The result is basically consistent with the original electricity consumption curve,which improves the availability of data.Then,the improved K-means clustering and LOF outlier detection technology is used to establish a combined model of line loss abnormality determination to realize the identification and location of line loss abnormality,and a detection algorithm for similar line loss data is designed.The test verifies that when the threshold is set to 0.8,it can basically effectively solve the problem of judging similar electricity consumption behavior in actual work;(3)Designing a synchronous line loss management system based on the Struts-MVC framework,employing ETL and Web Service technology to achieve data integration with line loss big data in the vertical direction,and platform integration with various data business systems in the power grid in the horizontal direction,provides rich interface elements and powerful operating functions,changing the isolation effect of the original system;(4)Combining three application cases,it demonstrates how the synchronization line loss management system specifically solves the actual problems in power grid management line loss,especially during the prevention and control of the 2019-n Co V,assisted government departments to improve the efficiency of supervision of enterprises.With the continuous development of smart grid-related technologies,the availability of high-quality power data is bound to increase.The data collection and mining technology designed in this paper has strong adaptability and accuracy,and the detection and analysis results of power grid line loss can be viewed and managed through the management system,which helps to improve the management level of the power grid and realize the safe and stable operation of the power grid.