Power consumer electricity consumption evaluation system based on same-period electricity sale quantity

Abstract

The invention discloses a power consumer electricity consumption evaluation system based on the same-period electricity sale quantity, and relates to the technical field of intelligent power distribution networks. The system comprises a cleaning algorithm unit for mass operation data of power consumers and a power consumer electricity consumption evaluation model. The cleaning algorithm unit for the mass operation data of the power consumers comprises a data source module, a data extraction module, a data association module, a data quality inspection module and an integrated data module, and the power consumer power consumption evaluation model comprises a current evaluation module, a voltage evaluation module, a power evaluation module and an electric quantity evaluation module. According to the power consumer electricity consumption evaluation system based on the same-period electricity sale quantity, the same-period electricity sale quantity is used as a data basis, a measurement automation system mass data cleaning and identification method is adopted, the power consumer electricity consumption evaluation model based on measurement data is established, and through a big data fitting technology, a load curve fitting least square method is applied to fit the voltage and current data, and a prediction curve is formed.

Description

technical field [0001] The invention relates to the technical field of intelligent distribution network, in particular to an electric power consumption evaluation system for electric power users based on electricity sales in the same period. Background technique [0002] Electricity is the foundation of human development. Electricity resources deeply affect people's production and life, and play an increasingly important role in human society. Distribution network is a kind of urban and rural power supply network. It is composed of overhead lines, cables, towers, Composed of distribution transformers, isolating switches, reactive power compensators and some auxiliary facilities, it is a network that plays an important role in distributing electric energy in the power network. [0003] In terms of evaluation and detection of user power consumption behavior in the existing distribution network user end, there are problems of low operating economy and ambiguous problem location...

AI Technical Summary

Problems solved by technology

[0003] In terms of evaluation and detection of user power consumption behavior in the existing distribution network user end, there are problems of low operating economy and vague problem location, which need to be improved

[0004] Aiming at the problems of resource consumption, inefficiency, and difficult detection encountered in the current traditional user electricity consumption behavior and abnormal detection, the present invention combines data mining technology and uses machine learning methods to automatically train and establish abnormal user electricity consumption behavior detection. The model can quickly obtain the abnormal situation of each user's electricity consumption data and the probability of abnormal electricity consumption, so as to reduce the time and cost of manual detection and analysis, improve the accuracy and work efficiency of abnormal detection, and reduce the economic loss of power grid companies

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