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Research On Electricity Abnormal Detection Method Based On Data Of Electricity Information Acquisition

Posted on:2020-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:D WuFull Text:PDF
GTID:2392330602961450Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Electricity is one of the indispensable resources in today's society,and it is closely related to people's daily life and production research.However,the ever-changing power stealing behavior has repeatedly been banned,becoming a problem that has been plaguing the power industry,causing huge economic losses to the country,laying a hidden danger for power grid security,and seriously infringing the rights and interests of power supply companies and legitimate users.Therefore,it is imperative to explore anomaly detection methods based on power information acquisition data.Aiming at the inefficiency of detecting electricity theft in power system,computer classification and decision tree algorithms are applied to solve the problem of predicting potential electricity theft objects by using electricity anomalies.Firstly,summarizes the defects and shortcomings through the exploration of the principle of stealing electricity and the horizontal comparison of the current anti-theft methods.secondly,from the perspective of the measurement principle,this paper explores and summarizes the common stealing electricity today.The method,through the phenomenon of electricity stealing,draws the electric stealing fishbone diagram,explores the relationship between the electrical characteristic parameters and the electricity stealing method,establishes the stealing electricity essential feature model and related feature parameter sets;thirdly,it relies on the platform of the electricity information collecting system to classify scientifically a wide variety of big data;and we take full advantage of related technology to reduce the dimension,fill the gap,and build classification model and prediction model of electricity abnormality,to discover a method based on electrical information acquisition;Finally,suspected object of electric larceny is predicted and verified by the collected big data.The rationality and accuracy of the method in this paper provide an effective method channel and technical basis for power system larceny inspection,ensure the healthy operation of power system and power order,and safeguard the country.
Keywords/Search Tags:structural model, electricity anomaly detection, electrical information acquisition data
PDF Full Text Request
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